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#' splot colors |
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#' |
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#' Get a prespecified set of 9 colors, or a set of graded or random, potentially grouped colors. |
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#' @param x dictates the number and shade of colors. If a single value, returns that many samples of the |
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#' first \code{seed} entry. If a vector, returns a color for each entry. If numeric, a single seed color |
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#' is sampled in order of the vector. If a character or factor, a separate seed color is assigned to |
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#' each level, then sampled within levels. Values or vectors in a list are each assigned a seed color. |
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#' @param by a vector to group \code{x} by; each level is assigned a seed color. |
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#' @param seed a vector of color names or codes to adjust from, lining up with levels of \code{x} or |
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#' \code{by}, or the name of a palette, partially matching \code{'bright'}, \code{'dark'}, |
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#' \code{'pastel'}, or \code{'grey'}. |
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#' @param brightness adjusts the RGB values of the seed color, usually between -1 and 1. |
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#' @param luminance adjusts the white levels of the seed color, usually between -1 and 1. |
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#' @param opacity sets the opacity of the seed color, between 0 and 1. |
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#' @param extend if \code{method='scale'}, extends the range of the gradient beyond the sampled range, |
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#' making for more similar colors (defaults is .5, with 0 sampling the full range). If |
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#' \code{method='related'}, increases the amount any of the RGB values can be adjusted, making for |
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#' potentially more different colors (default is 2). |
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#' @param lighten logical; if \code{TRUE}, scaled colors are lightened instead of darkened. Only |
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#' applicable if \code{method='scale'}. |
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#' @param shuffle logical; if \code{TRUE}, scaled colors are shuffled. Only applicable if |
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#' \code{method='scale'}. |
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#' @param flat logical; if \code{FALSE} and \code{x} is a character, factor, or list, or \code{by} is not |
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#' missing, a list is returned. |
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#' @param method a character setting the sampling method: If \code{'related'} (\code{'^rel|^ran|^o'}), |
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#' RGB values are freely adjusted, resulting in similar colors. If \code{'none'} (\code{'^no|^f|^bin'}), |
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#' Seed colors are simply repeated in each level (sampling is off). Otherwise, RGB values are adjusted |
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#' together, resulting in a gradient. |
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#' @param grade logical; if \code{TRUE}, seeds are adjusted on the scale of numeric \code{x}s. |
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#' Otherwise, seeds are adjusted in even steps along numeric \code{x}s. |
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#' @param decreasing logical; if \code{FALSE}, assigns colors to numeric \code{x}s in increasing order. |
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#' @param nas value to replace missing values with. |
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#' @return A character vector of color codes, or a list of such vectors if \code{flat} if \code{FALSE}. |
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#' @details |
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#' If \code{x} and \code{by} are not specified (or are characters with a length of 1, in which case they |
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#' are treated as \code{seed}), only the seed palette is returned. |
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#' |
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#' To expand on a palette, seed colors are assigned to groups, and variants of each seed are assigned to |
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#' values or levels within groups, or randomly or as a gradient if there are no values or level to assign to. |
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#' |
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#' Seed colors are assigned to groups. If \code{x} is a character or factor and no \code{by} has been |
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#' specified, groups are the unique levels of \code{x}. If \code{by} is specified and is a character or |
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#' factor, or has fewer than 10 unique levels, groups are levels of \code{by}. If \code{x} is a list, |
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#' groups are list entries. |
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#' |
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#' The number of variants for each seed color is determined either by a value (if the value has a length |
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#' of 1; e.g., \code{x=10}), the vector's length (if \code{x} is numeric), or the count of the given level |
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#' (if \code{x} is a factor or character vector). |
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#' |
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#' @examples |
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#' # including no arguments or just a palette name will only return |
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#' # the palette as a character vector |
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#' pastel_palette <- splot.color() |
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#' dark_palette <- splot.color("dark") |
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#' |
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#' # entering a number for x will generate that many variants of the first seed color |
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#' red_scale <- splot.color(10, "red") |
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#' |
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#' # entering a list of values as x will return that many variants of the associated seed |
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#' red_and_green_scales <- splot.color(list(10, 10), seed = c("red", "green")) |
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#' |
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#' # this shows gradients of each color in the default palette |
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#' # a list entered as colorby is treated as arguments to splot.color |
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#' # periods before the position name refer to the internally assembled data |
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#' splot( |
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#' rep(splot.color(), each = 100) ~ rep.int(seq.int(.01, 1, .01), 9), |
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#' colorby = list(.x, .y), |
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#' lines = FALSE, mar = c(2, 4, 0, 0), cex = c(points = 3), leg = FALSE, pch = 15, |
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#' title = "'pastel' palette", labx = "value of x", laby = "seed color" |
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#' ) |
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#' |
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#' # colors graded by value, entered in a list |
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#' plot( |
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#' 1:30, numeric(30), |
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#' pch = 15, cex = 10, |
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#' col = splot.color(list(1:8, c(7:1, 1:7), 8:1)) |
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#' ) |
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#' |
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#' # comparing sampling methods: |
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#' # on top are 1000 similar colors, with different RGB ratios |
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#' # on bottom are 268 colors with the same RGB ratio at different levels |
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#' splot( |
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#' c(rnorm(1000), rnorm(1000, 10)) ~ rnorm(2000), |
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#' lines = FALSE, |
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#' colors = c(splot.color(1000), splot.color(1000, method = "related")) |
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#' ) |
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#' |
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#' @export |
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splot.color <- function( |
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x = NULL, by = NULL, seed = "pastel", brightness = 0, luminance = 0, opacity = 1, extend = .7, |
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lighten = FALSE, shuffle = FALSE, flat = TRUE, method = "scale", grade = FALSE, decreasing = FALSE, nas = "#000000") { |
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93 | 44x |
sets <- list( |
94 | 44x |
bright = c("#45FF00", "#BA00FF", "#000000", "#FF0000", "#FFFD00", "#003DFF", "#00F2F8", "#999999", "#FF891B"), |
95 | 44x |
dark = c("#1B8621", "#681686", "#2A2A2A", "#7C0D0D", "#B5BC00", "#241C80", "#1A7E8B", "#666666", "#B06622"), |
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pastel = c("#82C473", "#A378C0", "#616161", "#9F5C61", "#D3D280", "#6970B2", "#78C4C2", "#454744", "#D98C82"), |
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grey = function(n) grey(.2:n / (n + n * if (n < 10) .1 else .3)) |
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) |
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99 | 44x |
if (missing(seed) && is.character(x) && (length(x) == 1 || all(tolower(x) %in% colors()))) { |
100 | ! |
seed <- x |
101 | ! |
x <- numeric(length(seed)) + 1 |
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} |
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103 | 44x |
if (missing(seed) && is.character(by) && length(by) == 1) { |
104 | ! |
seed <- by |
105 | ! |
by <- NULL |
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} |
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107 | 44x |
seed <- tolower(seed) |
108 | 44x |
ox <- NULL |
109 | 44x |
lvs <- function(x) if (is.factor(x)) base::levels(x) else sort(unique(x[!is.na(x)])) |
110 | 44x |
cn <- ncol(x) |
111 | 44x |
if (!is.null(cn) && !is.na(cn) && cn > 1) { |
112 | ! |
if (is.null(by)) by <- x[, 2] |
113 | ! |
x <- x[, 1] |
114 | ! |
} else if (is.list(x) && length(x) == 1) x <- x[[1]] |
115 | 44x |
if (!is.null(by)) { |
116 | 2x |
ol <- length(x) |
117 | 2x |
if (is.null(x)) { |
118 | ! |
x <- by |
119 | ! |
by <- NULL |
120 | 2x |
} else if (ol != length(by)) { |
121 | ! |
if (is.numeric(by) && length(by) == 1 && by < ol) { |
122 | ! |
by <- rep_len(seq_len(by), ol) |
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} else { |
|
124 | ! |
by <- NULL |
125 | ! |
warning("splot.color: by was dropped as it is not the same length as x", call. = FALSE) |
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} |
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} |
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} |
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129 | 44x |
if (!is.null(x) && (!(is.list(x) || is.numeric(x)) || (is.numeric(x) && !is.null(by)))) { |
130 | 2x |
if (is.null(by)) { |
131 | ! |
ox <- x |
132 | ! |
x <- as.list(table(x))[lvs(ox)] |
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} else { |
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134 | 2x |
if (is.numeric(by) && length(lvs(by)) > 9) { |
135 | ! |
warning("splot.color: only non-numeric bys are accepted", call. = FALSE) |
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} else { |
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137 | 2x |
ox <- by <- factor(by, lvs(by)) |
138 | 2x |
x <- split(x, by) |
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} |
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} |
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} |
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142 | 44x |
ol <- length(x) |
143 | 44x |
if (ol == 1 && is.list(x)) { |
144 | ! |
x <- x[[1]] |
145 | ! |
ol <- length(x) |
146 | ! |
ox <- NULL |
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} |
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148 | 44x |
n <- if (ol == 1) x else ol |
149 | 44x |
if (length(seed) == 1 && grepl("^bri|^dar|^pas|^gr[ae]y", seed)) { |
150 | 41x |
seed <- match.arg(seed, names(sets)) |
151 | 41x |
seed <- if (seed == "grey") { |
152 | 12x |
if (n == 1) { |
153 | 12x |
"#666666" |
154 | ! |
} else if (ol == 1) { |
155 | ! |
return(sets$grey(n)) |
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} else { |
|
157 | ! |
sets$grey(n) |
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} |
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} else { |
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160 | 29x |
sets[[seed]] |
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} |
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162 | 41x |
if (is.null(x) || (ol == 1 && n < 2)) { |
163 | 33x |
return(seed) |
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} |
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} |
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166 | 11x |
ckno <- grepl("^no|^f|^bin", method, TRUE) |
167 | 11x |
sc <- if (grepl("^rel|^ran|^o", method, TRUE)) { |
168 | 1x |
r <- if (missing(extend)) 2 else max(.001, extend) |
169 | 1x |
function(cc, n) { |
170 | 1x |
cc <- adjustcolor(cc) |
171 | 1x |
hdc <- c(0:9, LETTERS[1:6]) |
172 | 1x |
hdc <- outer(hdc, hdc, paste0) |
173 | 1x |
ccord <- function(cc) { |
174 | 1x |
cc <- strsplit(cc, "")[[1]][2:7] |
175 | 1x |
cc <- paste0(cc[c(TRUE, FALSE)], cc[c(FALSE, TRUE)]) |
176 | 1x |
vapply(cc, function(c) which(hdc == c, TRUE), c(0, 0)) |
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} |
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178 | 1x |
ccode <- function(m) { |
179 | 5x |
s <- seq_len(16) |
180 | 5x |
paste0("#", paste(apply(m, 2, function(cc) { |
181 | 15x |
hdc[which.min(abs(s - cc[1])), which.min(abs(s - cc[2]))] |
182 | 5x |
}), collapse = "")) |
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} |
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184 | 1x |
csamp <- function(code, n) { |
185 | 1x |
n <- max(1, n - 1) |
186 | 1x |
ocs <- NULL |
187 | 1x |
code <- ccord(code) |
188 | ! |
if (any(ck <- code > 14)) code[ck] <- code[ck] - (code[ck] - 14) |
189 | ! |
if (any(ck <- code < 2)) code[ck] <- code[ck] + (2 - code[ck]) |
190 | 1x |
i <- 1 |
191 | 1x |
while (length(ocs) <= n && i < 9999) { |
192 | 5x |
s <- sample(1:6, 3) |
193 | 5x |
nc <- code |
194 | 5x |
nc[s] <- nc[s] + sample(-r:r, 3, TRUE) |
195 | 5x |
nc <- ccode(nc) |
196 | 5x |
if (!nc %in% ocs) ocs <- c(ocs, nc) |
197 | 5x |
i <- i + 1 |
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} |
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199 | 1x |
if (any(opacity != 1, brightness != 0, luminance != 0)) { |
200 | ! |
adj <- 1 + brightness |
201 | ! |
ocs <- adjustcolor(ocs, opacity, adj, adj, adj, c(rep(luminance, 3), 0)) |
202 |
} |
|
203 | ! |
if (length(ocs) != n + 1) ocs <- rep_len(ocs, n + 1) |
204 | 1x |
ocs |
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} |
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206 | 1x |
csamp(cc, n) |
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} |
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208 | 11x |
} else if (ckno) { |
209 | 1x |
function(cc, n) { |
210 | ! |
ns <- length(n) |
211 | ! |
vapply(seq_len(ns), function(i) { |
212 | ! |
adj <- ns / (ns + i - 1) + brightness |
213 | ! |
if (lighten) adj <- 1.8 - adj |
214 | ! |
adjustcolor(cc, opacity, adj, adj, adj, c(rep(luminance, 3), 0)) |
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}, "") |
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} |
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} else { |
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218 | 9x |
function(cc, n) { |
219 | 7x |
s <- abs(n - max(n, na.rm = TRUE)) |
220 | 7x |
n <- length(s) |
221 | 7x |
s <- s / max(s, na.rm = TRUE) * (n - 1) + 1 |
222 | 7x |
r <- max(n, n + n * extend) |
223 | 7x |
if (!lighten) s <- s + r - max(s, na.rm = TRUE) |
224 | 7x |
vapply(s, function(i) { |
225 | 3226x |
adj <- i / r + brightness |
226 | ! |
if (lighten) adj <- adj + 1 |
227 | 3226x |
adjustcolor(cc, opacity, adj, adj, adj, c(rep(luminance, 3), 0)) |
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}, "") |
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} |
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} |
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231 | 11x |
asc <- function(v, si) { |
232 | 14x |
n <- length(v) |
233 | 14x |
if (is.numeric(v)) v <- round(v, 3) |
234 | 10x |
if (!is.numeric(v) || (n != 1 && !grade)) v <- as.numeric(factor(v, lvs(v))) |
235 | 2x |
if (!ckno) if (n == 1) v <- seq_len(max(1, v)) else if (length(lvs(v)) == 1) v <- seq_along(v) |
236 | 14x |
n <- length(v) |
237 | 14x |
l <- lvs(v) |
238 | 14x |
u <- sort(unique(v), decreasing) |
239 | 14x |
nu <- length(u) |
240 | 14x |
pr <- rep(nas, n) |
241 | 14x |
cols <- if (nu < 2 && (!length(u) || u < 2)) si else sc(si, u) |
242 | 14x |
v <- factor(v[is.finite(v)], u) |
243 | 4x |
if (n != nu) cols <- rep(cols, tabulate(v)) |
244 | 13x |
if (shuffle) sample(cols) else cols[order(order(v, decreasing = decreasing))] |
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} |
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246 | 11x |
if (!is.list(x)) { |
247 | 8x |
seed <- asc(x, seed[1]) |
248 |
} else { |
|
249 | ! |
if (length(seed) < n) seed <- rep_len(seed, n) |
250 | 3x |
seed <- lapply(seq_len(n), function(i) asc(x[[i]], seed[i])) |
251 | 3x |
names(seed) <- if (!is.null(names(x))) names(x) else vapply(seed, "[[", "", 1) |
252 | 3x |
if (flat) { |
253 | 2x |
seed <- if (!is.null(ox) && all(lvs(ox) %in% names(seed))) { |
254 | 1x |
by <- as.character(ox) |
255 | 1x |
for (g in lvs(ox)) { |
256 | 2x |
su <- !is.na(by) & !is.nan(by) & by == g |
257 | 2x |
ssu <- sum(su) |
258 | 2x |
if (is.finite(ssu) && ssu) by[su] <- rep_len(seed[[g]], ssu) |
259 |
} |
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260 | 1x |
by |
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} else { |
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262 | 1x |
unlist(seed) |
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} |
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} |
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} |
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266 | 10x |
if (!is.list(seed)) seed[is.na(seed) | is.nan(seed) | seed %in% c("NA", "NaN", "Inf", "-Inf")] <- nas |
267 | 11x |
if (opacity == 1) seed <- if (is.list(seed)) lapply(seed, function(s) sub("FF$", "", s)) else sub("FF$", "", seed) |
268 | 11x |
seed |
269 |
} |
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#' Split Plot |
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#' |
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#' A plotting function aimed at automating some common visualization tasks in order to ease data exploration. |
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#' @param y a formula (see note), or the primary variable(s) to be shown on the y axis (unless \code{x} is not specified). |
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#' When not a formula, this can be one or more variables as objects, or names in \code{data}. |
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#' @param data a \code{data.frame} to pull variables from. If variables aren't found in \code{data}, they will be looked |
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#' for in the environment. |
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#' @param su a subset to all variables, applied after they are all retrieved from \code{data} or the environment. |
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#' @param type determines the type of plot to make, between \code{"bar"}, \code{"line"}, \code{"density"}, or |
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#' \code{"scatter"}. If \code{"density"}, \code{x} is ignored. Anything including the first letter of each is accepted |
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#' (e.g., \code{type='l'}). |
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#' @param split how to split any continuous variables (those with more than \code{lim} levels as factors). Default is |
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#' \code{"median"}, with \code{"mean"}, \code{"standard deviation"}, \code{"quantile"}, or numbers as options. If |
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#' numbers, the variable is either cut at each value in a vector, or broken into roughly equal chunks. Entering an |
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#' integer (e.g., \code{split = 3L}) that is greater than 1 will force splitting into segments. Otherwise variables will |
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#' be split by value if you enter a single value for split and there are at least two data less than or equal to and |
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#' greater than the split, or if you enter more than 1 value for split. If a numeric split is not compatible with |
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#' splitting by value or segment, splitting will default to the median. |
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#' @param levels a list with entries corresponding to variable names, used to rename and/or reorder factor levels. To |
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#' reorder a factor, enter a vector of either numbers or existing level names in the new order (e.g., |
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#' \code{levels =} \code{list(var =} \code{c(3,2,1))}). To rename levels of a factor, enter a character vector the same |
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#' length as the number of levels. To rename and reorder, enter a list, with names as the first entry, and order as the |
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#' second entry (e.g., \code{levels =} \code{list(var =} \code{list(c('a','b','c'),} \code{c(3,2,1)))}). This happens |
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#' after variables are split, so names and orders should correspond to the new split levels of split variables. For |
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#' example, if a continuous variable is median split, it now has two levels ('Under Median' and 'Over Median'), which are |
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#' the levels reordering or renaming would apply to. Multiple variables entered as \code{y} can be renamed and sorted |
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#' with an entry titled \code{'mv'}. |
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#' @param sort specified the order of character or factor \code{x} levels. By default, character or factor \code{x} levels |
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#' are sorted alphabetically. \code{FALSE} will prevent this (preserving entered order). \code{TRUE} or \code{'d'} will |
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#' sort by levels of \code{y} in decreasing order, and anything else will sort in increasing order. |
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#' @param error string; sets the type of error bars to show in bar or line plots, or turns them off. If \code{FALSE}, no |
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#' error bars will be shown. Otherwise, the default is \code{"standard error"} (\code{'^s'}), with \code{"confidence |
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#' intervals"} (anything else) as an option. |
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#' @param error.color color of the error bars. Default is \code{'#585858'}. |
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#' @param error.lwd line weight of error bars. Default is 2. |
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#' @param lim numeric; checked against the number of factor levels of each variable. Used to decide which variables should |
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#' be split, which colors to use, and when to turn off the legend. Default is \code{9}. If set over \code{20}, \code{lim} |
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#' is treated as infinite (set to \code{Inf}). |
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#' @param lines logical or a string specifying the type of lines to be drawn in scatter plots. By default (and whenever |
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#' \code{cov} is not missing, or if \code{lines} matches \code{'^li|^lm|^st'}), a prediction line is fitted with |
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#' \code{\link[stats]{lm}}. For (potentially) bendy lines, \code{'loess'} (matching \code{'^loe|^po|^cu'}) will use |
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#' \code{\link[stats]{loess}}, and \code{'spline'} (\code{'^sm|^sp|^in'}) will use \code{\link[stats]{smooth.spline}}. |
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#' If \code{y} is not numeric and has only 2 levels, \code{'probability'} (\code{'^pr|^log'}) will draw probabilities |
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#' estimated by a logistic regression (\code{glm(y ~} \code{x, binomial)}). \code{'connected'} (\code{'^e|^co|^d'}) will |
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#' draw lines connecting all points, and \code{FALSE} will not draw any lines. |
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#' @param colors sets a color theme or manually specifies colors. Default theme is \code{"pastel"}, with \code{"dark"} and |
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#' \code{"bright"} as options; these are passed to \code{\link{splot.color}}. If set to \code{"grey"}, or if \code{by} |
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#' has more than 9 levels, a grey scale is calculated using \code{\link[grDevices]{gray}}. See the \code{col} parameter |
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#' in \code{\link[graphics]{par}} for acceptable manual inputs. To set text and axis colors, \code{col} sets outside |
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#' texts (title, sud, labx, laby, and note), \code{col.sub} or \code{col.main} sets the frame titles, and \code{col.axis} |
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51 |
#' sets the axis text and line colors. To set the color of error bars, use \code{error.color}. For histograms, a vector of |
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52 |
#' two colors would apply to the density line and bars separately (e.g., for \code{color =} \code{c('red','green')}, the |
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53 |
#' density line would be red and the histogram bars would be green). See the \code{color.lock} and \code{color.offset} |
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54 |
#' arguments for more color controls. |
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55 |
#' @param colorby a variable or list of arguments used to set colors and the legend, alternatively to \code{by}. If |
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56 |
#' \code{by} is not missing, \code{colorby} will be reduced to only the unique combinations of \code{by} and \code{colorby}. |
|
57 |
#' For example, if \code{by} is a participant ID with multiple observations per participant, and \code{by} is a condition |
|
58 |
#' ID which is the same for all observations from a given participant, \code{colorby} would assign a single color to each |
|
59 |
#' participant based on their condition. A list will be treated as a call to \code{\link{splot.color}}, so arguments can be |
|
60 |
#' entered positionally or by name. Data entered directly into splot can be accessed by position name preceded by a |
|
61 |
#' period. For example, \code{splot(rnorm(100),} \code{colorby=.y)} would draw a histogram, with bars colored by the value |
|
62 |
#' of \code{y} (\code{rnorm(100)} in this case). |
|
63 |
#' @param ... passes additional arguments to \code{\link[graphics]{par}} or \code{\link[graphics]{legend}}. Arguments before |
|
64 |
#' this can be named partially; those after must by fully named. |
|
65 |
#' @param colorby.leg logical; if \code{FALSE}, a legend for \code{colorby} is never drawn. Otherwise, a legend for |
|
66 |
#' \code{colorby} will be drawn if there is no specified \code{by}, or for non-scatter plots (overwriting the usual legend). |
|
67 |
#' @param color.lock logical; if \code{FALSE}, colors will not be adjusted to offset lines from points or histogram bars. |
|
68 |
#' @param color.offset how much points or histogram bars should be offset from the initial color used for lines. Default is |
|
69 |
#' 1.1; values greater than 1 lighten, and less than 1 darken. |
|
70 |
#' @param color.summary specifies the function used to collapse multiple colors for a single display. Either a string |
|
71 |
#' matching one of \code{'mean'} (which uses \code{\link{splot.colormean}} to average RGB values), \code{'median'} ( |
|
72 |
#' which treats codes as ordered, and selects that at the rounded median), or \code{'mode'} (which selects the most |
|
73 |
#' common code), or a function which takes color codes in its first argument, and outputs a single color code as a |
|
74 |
#' character. |
|
75 |
#' @param opacity a number between 0 and 1; sets the opacity of points, lines, and bars. Semi-opaque lines will sometimes |
|
76 |
#' not be displayed in the plot window, but will show up when the plot is written to a file. |
|
77 |
#' @param dark logical; if \code{TRUE}, sets text and axis colors to \code{"white"}. Defaults to the \code{splot.dark} |
|
78 |
#' option. |
|
79 |
#' @param x secondary variable, to be shown in on the x axis. If not specified, \code{type} will be set to \code{'density'}. |
|
80 |
#' If \code{x} is a factor or vector of characters, or has fewer than \code{lim} levels when treated as a factor, |
|
81 |
#' \code{type} will be set to \code{'line'} unless specified. |
|
82 |
#' @param by the 'splitting' variable within each plot, by which the plotted values of \code{x} and \code{y} will be |
|
83 |
#' grouped. |
|
84 |
#' @param between a single object or name, or two in a vector (e.g., \code{c(b1, b2)}), the levels of which will determine |
|
85 |
#' the number of plot windows to be shown at once (the cells in a matrix of plots; levels of the first variable as rows, |
|
86 |
#' and levels of the second as columns). |
|
87 |
#' @param cov additional variables used for adjustment. Bar and line plots include all \code{cov} variables in their |
|
88 |
#' regression models (via \code{\link[stats]{lm}}, e.g., \code{lm(y ~ 0 + x + cov1 + cov2)}) as covariates. Scatter plots |
|
89 |
#' with lines include all \code{cov} variables in the regression model to adjust the prediction line (e.g., |
|
90 |
#' \code{lm(y ~ x + x^2)}). |
|
91 |
#' \code{\link[graphics]{par}} options \code{col}, \code{mfrow}, \code{oma}, \code{mar}, \code{mgp}, \code{font.main}, |
|
92 |
#' \code{cex.main}, \code{font.lab}, \code{tcl}, \code{pch}, \code{lwd}, and \code{xpd} are all set within the function, |
|
93 |
#' but will be overwritten if they are included in the call. For example, \code{col} sets font colors in this case |
|
94 |
#' (as opposed to \code{colors} which sets line and point colors). The default is \code{'#303030'} for a nice dark grey, |
|
95 |
#' but maybe you want to lighten that up: \code{col='#606060'}. After arguments have been applied to |
|
96 |
#' \code{\link[graphics]{par}}, if any have not been used and match a \code{\link[graphics]{legend}} argument, these will |
|
97 |
#' be applied to \code{\link[graphics]{legend}}. |
|
98 |
#' @param line.type a character setting the style of line (e.g., with points at joints) to be drawn in line plots. Default |
|
99 |
#' is \code{'b'} if \code{error} is \code{FALSE}, and \code{'l'} otherwise. See the \code{line} argument of |
|
100 |
#' \code{\link[graphics]{plot.default}} for options. \code{line.type='c'} can look nice when there aren't a lot of |
|
101 |
#' overlapping error bars. |
|
102 |
#' @param mv.scale determines whether to center and scale multiple \code{y} variables. Does not center or scale by default. |
|
103 |
#' Anything other than \code{'none'} will mean center each numeric \code{y} variable. Anything matching \code{'^t|z|sc'} |
|
104 |
#' will also scale. |
|
105 |
#' @param mv.as.x logical; if \code{TRUE}, variable names are displayed on the x axis, and \code{x} is treated as \code{by}. |
|
106 |
#' @param save logical; if \code{TRUE}, an image of the plot is saved to the current working directory. |
|
107 |
#' @param format the type of file to save plots as. Default is \code{cairo_pdf}; see |
|
108 |
#' \code{\link[grDevices]{Devices}} for options. |
|
109 |
#' @param dims a vector of 2 values (\code{c(width, height)}) specifying the dimensions of a plot to save in inches or |
|
110 |
#' pixels depending on \code{format}. Defaults to the dimensions of the plot window. |
|
111 |
#' @param file.name a string with the name of the file to be save (excluding the extension, as this is added depending on |
|
112 |
#' \code{format}). |
|
113 |
#' @param myl sets the range of the y axis (\code{ylim} of \code{\link{plot}} or \code{\link[graphics]{barplot}}). |
|
114 |
#' If not specified, this will be calculated from the data. |
|
115 |
#' @param mxl sets the range of the x axis (\code{xlim} of \code{\link{plot}}). If not specified, this will be |
|
116 |
#' calculated from the data. |
|
117 |
#' @param autori logical; if \code{FALSE}, the origin of plotted bars will be set to 0. Otherwise, bars are adjusted such |
|
118 |
#' that they extend to the bottom of the y axis. |
|
119 |
#' @param xlas,ylas numeric; sets the orientation of the x- and y-axis labels. See \code{\link[graphics]{par}}. |
|
120 |
#' @param xaxis,yaxis logical; if \code{FALSE}, the axis will not be drawn. |
|
121 |
#' @param breaks determines the width of histogram bars. See \code{\link[graphics]{hist}}. |
|
122 |
#' @param density.fill logical; \code{FALSE} will turn off polygon fills when they are displayed, \code{TRUE} will replace |
|
123 |
#' histograms with polygons. |
|
124 |
#' @param density.opacity opacity of the density polygons, between 0 and 1. |
|
125 |
#' @param density.args list of arguments to be passed to \code{\link[stats]{density}}. |
|
126 |
#' @param leg sets the legend inside or outside the plot frames (when a character matching \code{'^i'}, or a character |
|
127 |
#' matching \code{'^o'} or a number respectively), or turns it off (when \code{FALSE}). When inside, a legend is drawn in |
|
128 |
#' each plot frame. When outside, a single legend is drawn either to the right of all plot frames, or within an empty |
|
129 |
#' plot frame. By default, this will be determined automatically, tending to set legends outside when there are multiple |
|
130 |
#' levels of \code{between}. A number will try and set the legend in an empty frame within the grid of plot frames. If |
|
131 |
#' there are no empty frames, the legend will just go to the side as if \code{leg='outside'}. |
|
132 |
#' @param lpos sets the position of the legend within its frame (whether inside or outside of the plot frames) based on |
|
133 |
#' keywords (see \code{\link[graphics]{legend}}. By default, when the legend is outside, \code{lpos} is either |
|
134 |
#' \code{'right'} when the legend is in a right-hand column, or \code{'center'} when in an empty plot frame. When the |
|
135 |
#' legend is inside and \code{lpos} is not specified, the legend will be placed automatically based on the data. Set to |
|
136 |
#' \code{'place'} to manually place the legend; clicking the plot frame will set the top left corner of the legend. |
|
137 |
#' @param lvn level variable name. Logical: if \code{FALSE}, the names of by and between variables will not be shown |
|
138 |
#' before their level (e.g., for a sex variable with a "female" level, "sex: female" would become "female" above each |
|
139 |
#' plot window). |
|
140 |
#' @param leg.title sets the title of the legend (which is the by variable name by default), or turns it off with |
|
141 |
#' \code{FALSE}. |
|
142 |
#' @param leg.args a list passing arguments to the \code{\link[graphics]{legend}} call. |
|
143 |
#' @param title logical or a character: if \code{FALSE}, the main title is turned off. If a character, this will be shown |
|
144 |
#' as the main title. |
|
145 |
#' @param labx,laby logical or a character: if \code{FALSE}, the label on the x axis is turned off. If a character, this |
|
146 |
#' will be shown as the axis label. |
|
147 |
#' @param lty logical or a vector: if \code{FALSE}, lines are always solid. If a vector, changes line type based on each |
|
148 |
#' value. Otherwise loops through available line types, see \code{\link[graphics]{par}}. |
|
149 |
#' @param lwd numeric; sets the weight of lines in line, density, and scatter plots. Default is 2. See |
|
150 |
#' \code{\link[graphics]{par}}. |
|
151 |
#' @param sub affects the small title above each plot showing \code{between} levels; text replaces it, and \code{FALSE} |
|
152 |
#' turns it off. |
|
153 |
#' @param note logical; if \code{FALSE}, the note at the bottom about splits and/or lines or error bars is turned off. |
|
154 |
#' @param font named numeric vector: \code{c(title,sud,leg,leg.title,note)}. Sets the font of the title, su display, legend |
|
155 |
#' levels and title, and note. In addition, \code{font.lab} sets the x and y label font, \code{font.sub} sets the font of |
|
156 |
#' the little title in each panel, \code{font.axis} sets the axis label font, and \code{font.main} sets the between level/n |
|
157 |
#' heading font; these are passed to \code{\link[graphics]{par}}. See the input section. |
|
158 |
#' @param cex named numeric vector: \code{c(title,sud,leg,note,points)}. Sets the font size of the title, su display, legend, |
|
159 |
#' note, and points. In addition, \code{cex.lab} sets the x and y label size, \code{cex.sub} sets the size of the little |
|
160 |
#' title in each panel, \code{cex.axis} sets the axis label size, and \code{cex.main} sets the between level/n heading size; |
|
161 |
#' these are passed to \code{\link[graphics]{par}}. See the input section. |
|
162 |
#' @param sud affects the heading for subset and covariates/line adjustments (su display); text replaces it, and |
|
163 |
#' \code{FALSE} turns it off. |
|
164 |
#' @param ndisp logical; if \code{FALSE}, n per level is no longer displayed in the subheadings. |
|
165 |
#' @param labels logical; if \code{FALSE}, sets all settable text surrounding the plot to \code{FALSE} (just so you don't |
|
166 |
#' have to set all of them if you want a clean frame). |
|
167 |
#' @param labels.filter a regular expression string to be replaced in label texts with a blank space. Default is |
|
168 |
#' \code{'_'}, so underscores appearing in the text of labels are replace with blank spaces. Set to |
|
169 |
#' \code{FALSE} to prevent all filtering. |
|
170 |
#' @param labels.trim numeric or logical; the maximum length of label texts (in number of characters). Default is 20, with |
|
171 |
#' any longer labels being trimmed. Set to \code{FALSE} to prevent any trimming. |
|
172 |
#' @param points logical; if \code{FALSE}, the points in a scatter plot are no longer drawn. |
|
173 |
#' @param points.first logical; if \code{FALSE}, points are plotted after lines are drawn in a scatter plot, placing lines |
|
174 |
#' behind points. This does not apply to points or lines added in \code{add}, as that is always evaluated after the main |
|
175 |
#' points and lines are drawn. |
|
176 |
#' @param byx logical; if \code{TRUE} (default) and \code{by} is specified, regressions for bar or line plots compare |
|
177 |
#' levels of \code{by} for each level of \code{x}. This makes for more intuitive error bars when comparing levels of |
|
178 |
#' \code{by} within a level of \code{x}; otherwise, the model is comparing the difference between the first level of |
|
179 |
#' \code{x} and each of its other levels. |
|
180 |
#' @param drop named logical vector: \code{c(x,by,bet)}. Specifies how levels with no data should be treated. All are |
|
181 |
#' \code{TRUE} by default, meaning only levels with data will be presented, and the layout of \code{between} levels |
|
182 |
#' will be minimized. \code{x} only applies to bar or line plots. \code{by} relates to levels presented in the legend. |
|
183 |
#' If \code{bet} is \code{FALSE}, the layout of \code{between} variables will be strict, with levels of \code{between[1]} |
|
184 |
#' as rows, and levels of \code{between[2]} as columns -- if there are no data at an intersection of levels, the |
|
185 |
#' corresponding panel will be blank. See the input section. |
|
186 |
#' @param prat panel ratio, referring to the ratio between plot frames and the legend frame when the legend is out. A |
|
187 |
#' single number will make all panels of equal width. A vector of two numbers will adjust the ratio between plot panels |
|
188 |
#' and the legend panel. For example, \code{prat=c(3,1)} makes all plot panels a relative width of 3, and the legend frame |
|
189 |
#' a relative width of 1. |
|
190 |
#' @param check.height logical; if \code{FALSE}, the height of the plot frame will not be checked before plotting is |
|
191 |
#' attempted. The check tries to avoid later errors, but may prevent plotting when a plot is possible. |
|
192 |
#' @param model logical; if \code{TRUE}, the summary of an interaction model will be printed. This model won't always align |
|
193 |
#' with what is plotted since variables may be treated differently, particularly in the case of interactions. |
|
194 |
#' @param options a list with named arguments, useful for setting temporary defaults if you plan on using some of the same |
|
195 |
#' options for multiple plots (e.g., \code{opt = list(}\code{type = 'bar',} \code{colors = 'grey',} |
|
196 |
#' \code{bg = '#999999');} \code{splot(x ~ y,} \code{options = opt)}). |
|
197 |
#' use \code{\link{quote}} to include options that are to be evaluated within the function (e.g., |
|
198 |
#' \code{opt =} \code{list(su =} \code{quote(y > 0))}). |
|
199 |
#' @param add evaluated within the function, so you can refer to the objects that are returned, to variable names (those |
|
200 |
#' from an entered data frame or entered as arguments), or entered data by their position, preceded by '.' (e.g., |
|
201 |
#' \code{mod =} \code{lm(.y~.x)}). Useful for adding things like lines to a plot while the parameters are still |
|
202 |
#' those set by the function (e.g., \code{add =} \code{abline(v =} \code{mean(x),} \code{xpd = FALSE)} for a vertical |
|
203 |
#' line at the mean of x). |
|
204 |
#' |
|
205 |
#' @return A list containing data and settings is invisibly returned, which might be useful to check for errors. |
|
206 |
#' Each of these objects can also be pulled from within \code{add}: |
|
207 |
#' \tabular{ll}{ |
|
208 |
#' \code{dat} \tab a \code{data.frame} of processed, unsegmented data.\cr |
|
209 |
#' \code{cdat} \tab a \code{list} of \code{list}s of \code{data.frame}s of processed, segmented data.\cr |
|
210 |
#' \code{txt} \tab a \code{list} of variable names. used mostly to pull variables from \code{data} or the environment.\cr |
|
211 |
#' \code{ptxt} \tab a \code{list} of processed variable and level names. Used mostly for labeling.\cr |
|
212 |
#' \code{seg} \tab a \code{list} containing segmentation information (such as levels) for each variable.\cr |
|
213 |
#' \code{ck} \tab a \code{list} of settings.\cr |
|
214 |
#' \code{lega} \tab a \code{list} of arguments that were or would have been passed to \code{\link[graphics]{legend}}.\cr |
|
215 |
#' \code{fmod} \tab an \code{lm} object if \code{model} is \code{TRUE}, and the model succeeded. |
|
216 |
#' } |
|
217 |
#' |
|
218 |
#' @section Input: |
|
219 |
#' \strong{formulas} |
|
220 |
#' |
|
221 |
#' When \code{y} is a formula (has a \code{~}), other variables will be pulled from it: |
|
222 |
#' |
|
223 |
#' \code{y ~ x * by * between[1] * between[2] + cov[1] + cov[2] + cov[n]} |
|
224 |
#' |
|
225 |
#' If \code{y} has multiple variables, \code{by} is used to identify the variable (it becomes a factor with variable names |
|
226 |
#' as levels), so anything entered as \code{by} is treated as \code{between[1]}, \code{between[1]} is moved to |
|
227 |
#' \code{between[2]}, and \code{between[2]} is discarded with a message. |
|
228 |
#' |
|
229 |
#' \strong{named vectors} |
|
230 |
#' |
|
231 |
#' Named vector arguments like \code{font}, \code{cex}, and \code{drop} can be set with a single value, positionally, or |
|
232 |
#' with names. If a single value is entered (e.g., \code{drop = FALSE}), this will be applied to each level (i.e., |
|
233 |
#' \code{c(x = FALSE, by = FALSE, bet = FALSE)}). If more than one value is entered, these will be treated positionally |
|
234 |
#' (e.g., \code{cex =} \code{c(2, 1.2)} would be read as \code{c(title = 2, sud = 1.2, leg = .9, note = .7, points = 1)}). |
|
235 |
#' If values are named, only named values will be set, with other defaults retained (e.g., \code{cex =} \code{c(note = 1.2)} |
|
236 |
#' would be read as \code{c(title = 1.5, sud = .9, leg = .9, note = 1.2, points = 1)}). |
|
237 |
#' |
|
238 |
#' @note |
|
239 |
#' \strong{x-axis levels text} |
|
240 |
#' |
|
241 |
#' If the text of x-axis levels (those corresponding to the levels of \code{x}) are too long, they are hidden before |
|
242 |
#' overlapping. To try and avoid this, by default longer texts are trimmed (dictated by \code{labels.trim}), and at some |
|
243 |
#' point the orientation of level text is changed (settable with \code{xlas}), but you may still see level text missing. |
|
244 |
#' To make these visible, you can reduce \code{labels.trim} from the default of 20 (or rename the levels of that variable), |
|
245 |
#' make the level text vertical (\code{xlas = 3}), or expand your plot window if possible. |
|
246 |
#' |
|
247 |
#' \strong{missing levels, lines, and/or error bars} |
|
248 |
#' |
|
249 |
#' By default (if \code{drop = TRUE}), levels of \code{x} with no data are dropped, so you may not see every level of your |
|
250 |
#' variable, at all or at a level of \code{by} or \code{between}. Sometimes error bars cannot be estimated (if, say, there |
|
251 |
#' is only one observation at the given level), but lines are still drawn in these cases, so you may sometimes see levels |
|
252 |
#' without error bars even when error bars are turned on. Sometimes (particularly when \code{drop['x']} is \code{FALSE}), |
|
253 |
#' you might see floating error bars with no lines drawn to them, or what appear to be completely empty levels. This |
|
254 |
#' happens when there is a missing level of \code{x} between two non-missing levels, potentially making an orphaned level |
|
255 |
#' (if a non-missing level is surrounded by missing levels). If there are no error bars for this orphaned level, by default |
|
256 |
#' nothing will be drawn to indicate it. If you set \code{line.type} to \code{'b'} (or any other type with points), a point |
|
257 |
#' will be drawn at such error-bar-less, orphaned levels. |
|
258 |
#' |
|
259 |
#' \strong{unexpected failures} |
|
260 |
#' |
|
261 |
#' splot tries to clean up after itself in the case of an error, but you may still run into errors that break things before |
|
262 |
#' this can happen. If after a failed plot you find that you're unable to make any new plots, or new plots are drawn over |
|
263 |
#' old ones, you might try entering \code{dev.off()} into the console. If new plots look off (splot's |
|
264 |
#' \code{\link[graphics]{par}} settings didn't get reset), you may have to close the plot window to reset |
|
265 |
#' \code{\link[graphics]{par}} (if you're using RStudio, Plots > "Remove Plot..." or "Clear All..."), or restart R. |
|
266 |
#' |
|
267 |
#' @examples |
|
268 |
#' # simulating data |
|
269 |
#' n <- 2000 |
|
270 |
#' dat <- data.frame(sapply(c("by", "bet1", "bet2"), function(c) sample(0:1, n, TRUE))) |
|
271 |
#' dat$x <- with( |
|
272 |
#' dat, |
|
273 |
#' rnorm(n) + by * -.4 + by * bet1 * -.3 + by * bet2 * |
|
274 |
#' .3 + bet1 * bet2 * .9 - .8 + rnorm(n, 0, by) |
|
275 |
#' ) |
|
276 |
#' dat$y <- with( |
|
277 |
#' dat, |
|
278 |
#' x * .2 + by * .3 + bet2 * -.6 + bet1 * bet2 * .8 + x * |
|
279 |
#' by * bet1 * -.5 + x * by * bet1 * bet2 * -.5 |
|
280 |
#' + rnorm(n, 5) + rnorm(n, -1, .1 * x^2) |
|
281 |
#' ) |
|
282 |
#' |
|
283 |
#' # looking at the distribution of y between bets split by by |
|
284 |
#' splot(y, by = by, between = c(bet1, bet2), data = dat) |
|
285 |
#' |
|
286 |
#' # looking at quantile splits of y in y by x |
|
287 |
#' splot(y ~ x * y, dat, split = "quantile") |
|
288 |
#' |
|
289 |
#' # looking at y by x between bets |
|
290 |
#' splot(y ~ x, dat, between = c(bet1, bet2)) |
|
291 |
#' |
|
292 |
#' # sequentially adding levels of split |
|
293 |
#' splot(y ~ x * by, dat) |
|
294 |
#' splot(y ~ x * by * bet1, dat) |
|
295 |
#' splot(y ~ x * by * bet1 * bet2, dat) |
|
296 |
#' |
|
297 |
#' # same as the last but entered by name |
|
298 |
#' splot(y, x = x, by = by, between = c(bet1, bet2), data = dat) |
|
299 |
#' |
|
300 |
#' # zooming in on one of the windows |
|
301 |
#' splot(y ~ x * by, dat, bet1 == 1 & bet2 == 0) |
|
302 |
#' |
|
303 |
#' # comparing an adjusted lm prediction line with a loess line |
|
304 |
#' # this could also be entered as y ~ poly(x,3) |
|
305 |
#' splot(y ~ x + x^2 + x^3, dat, bet1 == 1 & bet2 == 0 & by == 1, add = { |
|
306 |
#' lines(x[order(x)], loess(y ~ x)$fitted[order(x)], lty = 2) |
|
307 |
#' legend("topright", c("lm", "loess"), lty = c(1, 2), lwd = c(2, 1), bty = "n") |
|
308 |
#' }) |
|
309 |
#' |
|
310 |
#' # looking at different versions of x added to y |
|
311 |
#' splot(cbind( |
|
312 |
#' Raw = y + x, |
|
313 |
#' Sine = y + sin(x), |
|
314 |
#' Cosine = y + cos(x), |
|
315 |
#' Tangent = y + tan(x) |
|
316 |
#' ) ~ x, dat, myl = c(-10, 15), lines = "loess", laby = "y + versions of x") |
|
317 |
#' |
|
318 |
#' @export |
|
319 |
#' @importFrom grDevices grey dev.copy dev.size dev.off cairo_pdf adjustcolor colors col2rgb |
|
320 |
#' @importFrom graphics axis axTicks hist legend lines text mtext plot barplot par points arrows strwidth layout plot.new |
|
321 |
#' locator strheight polygon abline |
|
322 |
#' @importFrom stats density median quantile sd lm glm confint update loess smooth.spline formula as.formula predict |
|
323 |
#' var binomial |
|
324 | ||
325 |
splot <- function( |
|
326 |
y, data = NULL, su = NULL, type = "", split = "median", levels = list(), sort = NULL, |
|
327 |
error = "standard", error.color = "#585858", error.lwd = 2, lim = 9, lines = TRUE, ..., |
|
328 |
colors = "pastel", colorby = NULL, colorby.leg = TRUE, color.lock = FALSE, color.offset = 1.1, |
|
329 |
color.summary = "mean", opacity = 1, dark = getOption("splot.dark", FALSE), x = NULL, |
|
330 |
by = NULL, between = NULL, cov = NULL, line.type = "l", mv.scale = "none", mv.as.x = FALSE, |
|
331 |
save = FALSE, format = cairo_pdf, dims = dev.size(), file.name = "splot", myl = NULL, |
|
332 |
mxl = NULL, autori = TRUE, xlas = 0, ylas = 1, xaxis = TRUE, yaxis = TRUE, breaks = "sturges", |
|
333 |
density.fill = TRUE, density.opacity = .4, density.args = list(), leg = "outside", |
|
334 |
lpos = "auto", lvn = TRUE, leg.title = TRUE, leg.args = list(), title = TRUE, labx = TRUE, |
|
335 |
laby = TRUE, lty = TRUE, lwd = 2, sub = TRUE, ndisp = TRUE, note = TRUE, |
|
336 |
font = c(title = 2, sud = 1, leg = 1, leg.title = 2, note = 3), |
|
337 |
cex = c(title = 1.5, sud = .9, leg = .9, note = .7, points = 1), sud = TRUE, labels = TRUE, |
|
338 |
labels.filter = "_", labels.trim = 20, points = TRUE, points.first = TRUE, byx = TRUE, |
|
339 |
drop = c(x = TRUE, by = TRUE, bet = TRUE), prat = c(1, 1), check.height = TRUE, model = FALSE, |
|
340 |
options = NULL, add = NULL) { |
|
341 |
# parsing input and preparing data |
|
342 | 33x |
if (check.height && dev.size()[2] < 1.7) { |
343 | ! |
stop("the plot window seems too short; increase the height of the plot window, or set check.height to FALSE", |
344 | ! |
call. = FALSE |
345 |
) |
|
346 |
} |
|
347 | 33x |
if (!missing(options) && is.list(options) && length(options) != 0) { |
348 | ! |
a <- as.list(match.call())[-1] |
349 | ! |
options <- tryCatch(options, error = function(e) NULL) |
350 | ! |
if (is.null(options)) stop("could not find options") |
351 | ! |
return(do.call(splot, c(a[names(a) != "options"], options[!names(options) %in% names(a)]), envir = parent.frame())) |
352 |
} |
|
353 | ! |
if (!labels) title <- sud <- sub <- labx <- laby <- note <- FALSE |
354 | 33x |
opt_saf <- getOption("stringsAsFactors") |
355 | 33x |
on.exit(options(stringsAsFactors = opt_saf)) |
356 | 33x |
options(stringsAsFactors = FALSE) |
357 | 33x |
ck <- list( |
358 | 33x |
ff = list(bet = FALSE, cov = FALSE), |
359 | 33x |
t = if (grepl("^b|^l", type, TRUE)) 1 else if (grepl("^d", type, TRUE)) 2 else 3, |
360 | 33x |
b = grepl("^b", type, TRUE), |
361 | 33x |
tt = !missing(type) && !grepl("^b|^l", type, TRUE), |
362 | 33x |
d = !missing(data) && !is.null(data), |
363 | 33x |
su = !missing(su), |
364 | 33x |
c = !missing(cov), |
365 | 33x |
co = missing(colors), |
366 | 33x |
cb = !missing(colorby), |
367 | 33x |
cblegm = missing(colorby.leg), |
368 | 33x |
cbleg = is.logical(colorby.leg) && colorby.leg, |
369 | 33x |
poly = missing(density.fill) || (!is.logical(density.fill) || density.fill), |
370 | 33x |
polyo = !missing(density.fill) || !missing(density.opacity), |
371 | 33x |
e = grepl("^s", error, TRUE), |
372 | 33x |
el = !(is.logical(error) && !error), |
373 | 33x |
sp = if (!is.character(split)) { |
374 | ! |
4 |
375 | 33x |
} else if (grepl("^mea|^av", split, TRUE)) { |
376 | 2x |
1 |
377 | 33x |
} else if (grepl("^q", split, TRUE)) { |
378 | ! |
2 |
379 |
} else { |
|
380 | 31x |
ifelse(grepl("^s", split, TRUE), 3, 4) |
381 |
}, |
|
382 | 33x |
ly = !(is.logical(laby) && !laby) || is.character(laby), |
383 | 33x |
lys = is.character(laby), |
384 | 33x |
lx = !(is.logical(labx) && !labx) || is.character(labx), |
385 | 33x |
line = substitute(lines), |
386 | 33x |
lty = is.logical(lty), |
387 | 33x |
ltym = missing(lty), |
388 | 33x |
ltm = missing(line.type), |
389 | 33x |
leg = if (is.logical(leg) && !leg) 0 else if (!is.character(leg) || grepl("^o", leg, TRUE)) 1 else 2, |
390 | 33x |
legm = missing(leg), |
391 | 33x |
legt = !(is.logical(leg.title) && !leg.title), |
392 | 33x |
lp = is.character(lpos) && grepl("^a", lpos, TRUE), |
393 | 33x |
lpm = is.character(lpos) && grepl("^p|^m", lpos, TRUE), |
394 | 33x |
mod = !missing(x) && model, |
395 | 33x |
note = !is.character(note), |
396 | 33x |
mv = FALSE, |
397 | 33x |
mlvn = missing(lvn), |
398 | 33x |
opacity = !missing(opacity) && opacity <= 1 && opacity > 0, |
399 | 33x |
mai = FALSE |
400 |
) |
|
401 | ! |
if (ck$lpm) lpos <- "center" |
402 | 33x |
if (ck$d && !is.data.frame(data)) { |
403 | ! |
data <- if (!is.matrix(data) && !is.list(data)) { |
404 | ! |
as.data.frame(as.matrix(data)) |
405 |
} else { |
|
406 | ! |
as.data.frame(data) |
407 |
} |
|
408 |
} |
|
409 | 33x |
ck$ltck <- (is.logical(ck$line) && ck$line) || !grepl("^F", ck$line) |
410 | ! |
if (!ck$ltck && ck$note) note <- FALSE |
411 | 33x |
ck$ltco <- if (ck$ltck) if (is.logical(ck$line) || ck$c || grepl("^li|^lm|^st", ck$line, TRUE)) "li" else if (grepl("^loe|^po|^cu", ck$line, TRUE)) "lo" else if (grepl("^sm|^sp|^in", ck$line, TRUE)) "sm" else if (grepl("^e|^co|^d", ck$line, TRUE)) "e" else if (grepl("^pr|^log", ck$line, TRUE)) "pr" else "li" else "li" |
412 | 33x |
if (any(!missing(font), !missing(cex), !missing(drop))) { |
413 | ! |
dop <- formals(splot)[c("font", "cex", "drop")] |
414 | ! |
oco <- function(s, d) { |
415 | ! |
od <- d <- eval(d) |
416 | ! |
if (length(s) != length(d)) { |
417 | ! |
n <- NULL |
418 | ! |
if (!is.null(n <- names(s)) || length(s) != 1) if (!is.null(n)) d[n] <- s[n] else d[seq_along(s)] <- s else d[] <- s |
419 | ! |
s <- d |
420 |
} |
|
421 | ! |
s <- s[names(od)] |
422 | ! |
names(s) <- names(od) |
423 | ! |
if (any(n <- is.na(s))) s[n] <- od[n] |
424 | ! |
s |
425 |
} |
|
426 | ! |
if (!missing(font)) font <- oco(font, dop$font) |
427 | ! |
if (!missing(cex)) cex <- oco(cex, dop$cex) |
428 | ! |
if (!missing(drop)) drop <- oco(drop, dop$drop) |
429 |
} |
|
430 | 33x |
dn <- if (ck$d) names(data) else "" |
431 | 33x |
if (any(grepl("~", c(substitute(y), if (paste(deparse(substitute(y)), collapse = "") %in% ls(envir = globalenv())) y), fixed = TRUE))) { |
432 | 24x |
f <- as.character(as.formula(y))[-1] |
433 | 24x |
y <- as.formula(y)[[2]] |
434 | 24x |
bl <- function(x) { |
435 | 24x |
cs <- strsplit(x, "")[[1]] |
436 | 24x |
rs <- lapply(c("(", ")", "[", "]"), grep, cs, fixed = TRUE) |
437 | 24x |
l <- vapply(rs, length, 0) |
438 | 24x |
cr <- TRUE |
439 | 24x |
if (any(l != 0)) { |
440 | ! |
if (l[1] != l[2] || l[3] != l[4]) stop("invalid parentheses or brackets in ", x) |
441 | ! |
cr <- !seq_along(cs) %in% c( |
442 | ! |
unlist(lapply(seq_len(l[1]), function(r) do.call(seq, lapply(rs[1:2], "[[", r)))), |
443 | ! |
unlist(lapply(seq_len(l[3]), function(r) do.call(seq, lapply(rs[3:4], "[[", r)))) |
444 |
) |
|
445 |
} |
|
446 | 24x |
cs[cr] <- sub("*", "_VAR_", sub("+", "_COV_", cs[cr], fixed = TRUE), fixed = TRUE) |
447 | 24x |
paste(cs, collapse = "") |
448 |
} |
|
449 | 24x |
f <- strsplit(bl(f[-1]), " _COV_ ", fixed = TRUE)[[1]] |
450 | 24x |
if (any(grepl(" _VAR_ ", f, fixed = TRUE))) { |
451 | 7x |
r <- strsplit(f[1], " _VAR_ ", fixed = TRUE)[[1]] |
452 | 7x |
if (length(r)) x <- r[1] |
453 | 7x |
if (length(r) > 1) by <- r[2] |
454 | 7x |
if (length(r) > 2) { |
455 | 4x |
ck$ff$bet <- TRUE |
456 | 4x |
between <- r[3] |
457 |
} |
|
458 | 2x |
if (length(r) > 3) between <- c(r[3], r[4]) |
459 | 7x |
f <- f[!grepl(" _VAR_ ", f, fixed = TRUE)] |
460 |
} else { |
|
461 | 17x |
x <- f[1] |
462 | 17x |
f <- f[-1] |
463 |
} |
|
464 | 24x |
if (length(f)) { |
465 | ! |
cov <- f |
466 | ! |
ck$c <- ck$ff$cov <- TRUE |
467 |
} |
|
468 |
} |
|
469 | 33x |
txt <- list( |
470 | 33x |
split = "none", |
471 | 33x |
y = substitute(y), |
472 | 33x |
x = substitute(x), |
473 | 33x |
by = substitute(by), |
474 | 33x |
bet = as.list(substitute(between)), |
475 | 33x |
cov = as.list(substitute(cov)), |
476 | 33x |
su = deparse(substitute(su)) |
477 |
) |
|
478 | 33x |
txt[c("bet", "cov")] <- lapply(c("bet", "cov"), function(l) { |
479 | 66x |
paste(if (!ck$ff[[l]] && length(txt[[l]]) > 1) txt[[l]][-1] else txt[[l]]) |
480 |
}) |
|
481 | 33x |
txt <- lapply(txt, function(e) if (is.call(e)) paste(deparse(e), collapse = "\n") else e) |
482 | ! |
if (length(txt$bet) > 2) txt$bet <- txt$bet[1:2] |
483 | 33x |
tdc <- function(x, l = NULL) { |
484 | 90x |
if (!is.call(x)) { |
485 | 89x |
if ((is.null(l) && length(x) != 1) || (!is.null(l) && length(x) == l)) { |
486 | ! |
return(x) |
487 |
} |
|
488 |
} |
|
489 | 60x |
if (is.character(x)) x <- parse(text = x) |
490 | 90x |
tx <- tryCatch(eval(x, data, parent.frame(2)), error = function(e) NULL) |
491 | 90x |
if (is.character(tx) && length(tx) < 2) { |
492 | ! |
x <- parse(text = tx) |
493 | ! |
tx <- tryCatch(eval(x, data, parent.frame(2)), error = function(e) NULL) |
494 | ! |
} else if (is.null(tx)) tx <- tryCatch(eval(x, data, parent.frame(3)), error = function(e) NULL) |
495 | ! |
if (is.null(tx) || any(class(tx) %in% c("name", "call", "expression", "function"))) stop("could not find ", x, call. = FALSE) |
496 | 90x |
if (!is.null(l) && is.null(ncol(tx))) { |
497 | 56x |
if (length(tx) != l) { |
498 | ! |
tx <- rep_len(tx, l) |
499 | ! |
if (is.call(x)) x <- deparse(x) |
500 | ! |
warning(x, " is not the same length as y", call. = FALSE) |
501 |
} |
|
502 |
} |
|
503 | ! |
if (!is.null(dim(tx)) && !is.matrix(tx) && !is.data.frame(tx)) tx <- as.matrix(tx) |
504 | 90x |
tx |
505 |
} |
|
506 | 33x |
if (!missing(data) && !any(class(data) %in% c("matrix", "data.frame"))) { |
507 | ! |
data <- if (is.character(data)) eval(parse(text = data)) else eval(data, globalenv()) |
508 |
} |
|
509 | 33x |
dat <- data.frame(y = tdc(txt$y), check.names = FALSE) |
510 | 32x |
if (ncol(dat) == 1) names(dat) <- "y" |
511 | 33x |
nr <- nrow(dat) |
512 | 33x |
lvs <- function(x, s = FALSE) if (is.factor(x)) base::levels(x) else if (s) sort(unique(x[!is.na(x)])) else unique(x[!is.na(x)]) |
513 | 33x |
for (n in names(txt)[-c(1, 2, 7)]) { |
514 | 132x |
l <- length(txt[[n]]) |
515 | 81x |
if (l == 0) next |
516 | 51x |
if (l == nr) { |
517 | ! |
dat[, n] <- txt[[n]] |
518 | ! |
txt[[n]] <- n |
519 | 5x |
} else if (l == 1) dat[, n] <- tdc(txt[[n]], nr) else for (i in seq_along(txt[[n]])) dat[, paste0(n, ".", i)] <- tdc(txt[[n]][[i]], nr) |
520 |
} |
|
521 | ! |
if (length(txt$y) == nr) txt$y <- "y" |
522 | 33x |
if (missing(x) && !is.null(dat$y) && !is.numeric(dat$y)) { |
523 | 1x |
dat$x <- dat$y |
524 | 1x |
sl <- grepl("^(y|by|bet[.12]{,2})$", colnames(dat)) |
525 | 1x |
dat$y <- if (sum(sl) == 1) dat[, sl] else do.call(paste, dat[, sl]) |
526 | 1x |
dat$y <- table(dat$y)[dat$y] |
527 | ! |
if (sum(sl) != 1) dat <- dat[, c("y", "x", colnames(dat)[!colnames(dat) %in% c("y", "x")])] |
528 | 1x |
if (ck$t != 2) txt[c("y", "x")] <- c("count", txt$y) |
529 | 1x |
ck$el <- FALSE |
530 | 1x |
if (missing(type)) { |
531 | 1x |
ck$b <- TRUE |
532 | 1x |
ck$t <- 1 |
533 | 1x |
ck[c("b", "t", "tt")] <- list(TRUE, 1, FALSE) |
534 |
} |
|
535 | 1x |
if (missing(autori)) autori <- FALSE |
536 |
} |
|
537 | 33x |
if (NCOL(dat$x) > 1) { |
538 | ! |
ck$c <- TRUE |
539 | ! |
txt$cov <- c(txt$x, txt$cov) |
540 | ! |
dat$cov <- cbind(dat$cov, dat$x[, -1]) |
541 | ! |
dat$x <- dat$x[, 1] |
542 |
} |
|
543 | 33x |
ck$orn <- nr |
544 | 33x |
su <- substitute(su) |
545 | 33x |
if (ck$su && length(su) != nr) { |
546 | ! |
tsu <- tryCatch(eval(su, if (ck$d) data), error = function(e) NULL) |
547 | ! |
if (is.null(tsu) || length(tsu) != nr) { |
548 | ! |
odat <- dat |
549 | ! |
colnames(odat) <- sub("^y\\.", "", colnames(dat)) |
550 | ! |
tsu <- tryCatch(eval(su, odat), error = function(e) NULL) |
551 |
} |
|
552 | ! |
if (!is.null(tsu)) { |
553 | ! |
tsu[is.na(tsu)] <- FALSE |
554 | ! |
su <- tsu |
555 |
} |
|
556 | ! |
if (is.logical(tsu) && sum(tsu) == 0 || length(tsu) == 0) { |
557 | ! |
ck$su <- FALSE |
558 | ! |
warning("su excludes all rows, so it was ignored.", .call = FALSE) |
559 |
} |
|
560 |
} |
|
561 | 33x |
tsu <- vapply(dat, is.numeric, TRUE) |
562 | 33x |
ck$omitted <- list( |
563 | 33x |
na = apply(dat, 1, function(r) any(is.na(r))), |
564 | 33x |
inf = apply(dat[, tsu, drop = FALSE], 1, function(r) any(is.infinite(r))) |
565 |
) |
|
566 | ! |
if (ck$su) ck$omitted$su <- !su |
567 | 33x |
ck$omitted$all <- !Reduce("|", ck$omitted) |
568 | 33x |
if (any(!ck$omitted$all)) { |
569 | ! |
if (any(ck$omitted$all)) { |
570 | ! |
odat <- dat[ck$omitted$all, , drop = FALSE] |
571 | ! |
dat <- odat |
572 | ! |
dn <- colnames(dat) |
573 | ! |
if ("x" %in% dn && length(unique(dat$x)) == 1) { |
574 | ! |
ck$t <- 2 |
575 | ! |
dat$x <- NULL |
576 | ! |
warning("after omitting, x only had 1 level, so it was dropped") |
577 |
} |
|
578 | ! |
if ("by" %in% dn && length(unique(dat$by)) == 1) { |
579 | ! |
txt$by <- dat$by <- NULL |
580 | ! |
warning("after omitting, by only had 1 level, so it was dropped") |
581 |
} |
|
582 | ! |
if (ck$d) data <- data[ck$omitted$all, , drop = FALSE] |
583 |
} else { |
|
584 | ! |
stop("this combination of variables/splits has no complete cases") |
585 |
} |
|
586 |
} |
|
587 | 33x |
dn <- colnames(dat) |
588 | 33x |
nr <- nrow(dat) |
589 | 33x |
if (sum(grepl("^y", dn)) > 1) { |
590 |
# setting up multiple y variables |
|
591 | 1x |
dn <- grep("^y\\.", dn) |
592 | 1x |
ck$mvn <- colnames(dat)[dn] |
593 | 1x |
ck$mvnl <- length(ck$mvn) |
594 | 1x |
if (any(tcn <- grepl("(V\\d+$|c\\(|y\\.(\\d+$|.*\\.))", ck$mvn))) { |
595 | 1x |
ncn <- substitute(y) |
596 | 1x |
if (length(ncn) > 1 && length(ncn <- as.character(ncn[-1])) == length(dn)) { |
597 | ! |
ck$mvn[tcn] <- paste0("y.", ncn[tcn]) |
598 |
} |
|
599 |
} |
|
600 | 1x |
ck$mv <- TRUE |
601 | 1x |
if (ck$mlvn) lvn <- FALSE |
602 | 1x |
if (!missing(by)) { |
603 | ! |
txt$bet <- c(txt$by, txt$bet) |
604 | ! |
if (length(txt$bet) > 2) { |
605 | ! |
warning("multiple y variables moves by to between, so the second level of between was dropped") |
606 | ! |
txt$bet <- txt$bet[1:2] |
607 | ! |
dat <- dat[-grep("bet", colnames(dat))[2]] |
608 |
} |
|
609 | ! |
if (length(txt$bet) > 1) { |
610 | ! |
dat$bet.1 <- if (is.factor(dat$by)) dat$by else as.character(dat$by) |
611 | ! |
dat$bet.2 <- if (is.factor(dat$bet)) dat$bet else as.character(dat$bet) |
612 | ! |
dat$bet <- NULL |
613 |
} else { |
|
614 | ! |
dat$bet <- if (is.factor(dat$by)) dat$by else as.character(dat$by) |
615 |
} |
|
616 |
} |
|
617 | 1x |
td <- dat |
618 | ! |
if (any(ckn <- duplicated(ck$mvn))) ck$mvn[ckn] <- paste0(ck$mvn[ckn], "_", seq_len(sum(ckn))) |
619 | 1x |
by <- sub("^y\\.", "", ck$mvn) |
620 | ! |
if (any(by == "")) by[by == ""] <- seq_len(sum(by == "")) |
621 | 1x |
by <- factor(rep(by, each = nr), levels = by) |
622 | 1x |
cncls <- vapply(dat[, dn], function(v) is.numeric(v) || is.integer(v) || is.factor(v), TRUE) |
623 | 1x |
if (any(cncls) && any(!cncls)) { |
624 | ! |
for (cnc in which(!cncls)) { |
625 | ! |
dat[, cnc] <- as.numeric(factor(dat[, cnc], lvs(dat[, cnc]))) |
626 |
} |
|
627 |
} |
|
628 | 1x |
dat <- data.frame(y = unlist(dat[, dn], use.names = FALSE)) |
629 | ! |
if (ncol(td) > length(dn)) dat <- cbind(dat, do.call(rbind, lapply(seq_along(dn), function(i) td[, -dn, drop = FALSE]))) |
630 | 1x |
if (mv.as.x) { |
631 | ! |
txt$by <- txt$x |
632 | ! |
txt$x <- if (missing(labx)) "variable" else if (labx == txt$by) paste0(labx, ".1") else labx |
633 | ! |
dat$by <- dat$x |
634 | ! |
dat$x <- by |
635 |
} else { |
|
636 | 1x |
txt$by <- "variable" |
637 | 1x |
dat$by <- by |
638 |
} |
|
639 | 1x |
if (missing(leg.title) && !mv.as.x) ck$legt <- FALSE |
640 | ! |
if (!missing(levels) && "mv" %in% names(levels)) names(levels)[names(levels) == "mv"] <- txt[[if (mv.as.x) "x" else "by"]] |
641 | 1x |
dn <- colnames(dat) |
642 | 1x |
if (!missing(mv.scale) && mv.scale != "none") { |
643 | ! |
tv <- if (mv.as.x) dat$x else dat$by |
644 | ! |
for (g in levels(as.factor(tv))) { |
645 | ! |
svar <- tv == g |
646 | ! |
cvar <- scale(dat[svar, 1], scale = grepl("^t|z|sc", mv.scale, TRUE)) |
647 | ! |
if (any(is.na(cvar))) cvar <- dat[svar, 1] - mean(dat[svar, 1], na.rm = TRUE) |
648 | ! |
dat[svar, 1] <- cvar |
649 |
} |
|
650 |
} |
|
651 | 1x |
nr <- nrow(dat) |
652 |
} else { |
|
653 | 32x |
ck$mv <- FALSE |
654 |
} |
|
655 | 33x |
if (!"x" %in% dn) { |
656 | 8x |
ck$t <- 2 |
657 | 1x |
if (!missing(type) && !grepl("^d", type, TRUE)) warning("x must be included to show other types of splots") |
658 |
} |
|
659 | 13x |
if (!ck$cb && !"by" %in% dn) ck$leg <- 0 |
660 | 33x |
if (lim > 20 || (is.logical(lim) && !lim)) { |
661 | ! |
lim <- Inf |
662 | ! |
if (ck$legm && !ck$cb) ck$leg <- 0 |
663 | ! |
if (missing(error)) ck$el <- FALSE |
664 |
} |
|
665 | 1x |
if (ck$ltm && !ck$el) line.type <- "b" |
666 | 33x |
if (ck$ltym && is.logical(lines) && !lines) { |
667 | ! |
ck$lty <- FALSE |
668 | ! |
lty <- 1 |
669 |
} |
|
670 | 33x |
if (!is.numeric(dat$y)) { |
671 | ! |
txt$yax <- lvs(dat$y) |
672 | ! |
if (!is.logical(dat$y) && !is.factor(dat$y)) dat$y <- factor(dat$y, lvs(dat$y)) |
673 | ! |
dat$y <- as.numeric(dat$y) |
674 |
} |
|
675 | 33x |
if ("by" %in% dn && is.character(dat$by) && all(!grepl("[^0-9]", dat$by))) { |
676 | ! |
dat$by <- gsub(" ", "0", base::format(dat$by, justify = "right"), fixed = TRUE) |
677 |
} |
|
678 | 33x |
odat <- dat |
679 |
# splitting and parsing variables |
|
680 | 33x |
splt_type <- function(x, s) { |
681 | 5x |
if (s == 1) { |
682 | 2x |
"mean" |
683 | 3x |
} else if (s == 3) { |
684 | ! |
"standard deviation" |
685 | 3x |
} else if (s == 2) { |
686 | ! |
"quantile" |
687 | 3x |
} else if (s == 4 && is.double(split) && (length(split) != 1 || all(c( |
688 | 3x |
sum(split >= x, na.rm = TRUE), |
689 | 3x |
sum(split <= x, na.rm = TRUE) |
690 | 3x |
) > 1))) { |
691 | ! |
paste(split, collapse = ", ") |
692 | 3x |
} else if (s == 4 && is.numeric(split) && split > 1) { |
693 | ! |
split <- min(length(x), round(split), na.rm = TRUE) |
694 | ! |
paste0("segments (", split, ")") |
695 |
} else { |
|
696 | 3x |
"median" |
697 |
} |
|
698 |
} |
|
699 | 33x |
splt <- function(x, s) { |
700 | 5x |
if (s == 1) { |
701 | 2x |
factor(x >= mean(x, na.rm = TRUE) * 1, labels = c("Below Average", "Above Average")) |
702 | 3x |
} else if (s == 3) { |
703 | ! |
m <- mean(x, na.rm = TRUE) |
704 | ! |
s <- sd(x, TRUE) |
705 | ! |
cut(x, c(-Inf, m - s, m + s, Inf), labels = c("-1 SD", "Mean", "+1 SD")) |
706 | 3x |
} else if (s == 2) { |
707 | ! |
cut(x, c(-Inf, quantile(x, na.rm = TRUE)[c(2, 4)], Inf), |
708 | ! |
labels = c("2nd Quantile", "Median", "4th Quantile") |
709 |
) |
|
710 | 3x |
} else if (s == 4 && is.double(split) && (length(split) != 1 || all(c( |
711 | 3x |
sum(split >= x, na.rm = TRUE), |
712 | 3x |
sum(split <= x, na.rm = TRUE) |
713 | 3x |
) > 1))) { |
714 | ! |
cut(x, c(-Inf, split, Inf), paste0("<=", c(split, "Inf")), ordered_result = TRUE) |
715 | 3x |
} else if (s == 4 && is.numeric(split) && split > 1) { |
716 | ! |
n <- length(x) |
717 | ! |
split <- min(n, round(split), na.rm = TRUE) |
718 | ! |
factor(paste("seg", rep(seq_len(split), each = round(n / split + .49))[order(order(x))])) |
719 |
} else { |
|
720 | 3x |
factor(x >= median(x, TRUE) * 1, labels = c("Under Median", "Over Median")) |
721 |
} |
|
722 |
} |
|
723 | 33x |
seg <- list( |
724 | 33x |
x = list(e = !missing(x), s = FALSE, i = 2), |
725 | 33x |
f1 = list(e = FALSE, s = FALSE, l = "", ll = 1), |
726 | 33x |
f2 = list(e = FALSE, s = FALSE, l = "", ll = 1), |
727 | 33x |
by = list(e = FALSE, s = FALSE, l = "", ll = 1) |
728 |
) |
|
729 | 33x |
if (seg$x$e && ck$t != 2) { |
730 | 22x |
if ((ck$t == 1 || is.character(dat$x) || is.factor(dat$x) || |
731 | 22x |
(missing(type) && length(unique(dat$x)) < lim))) { |
732 | 11x |
dat$x <- if (!is.character(dat$x) && !is.factor(dat$x) && length(unique(dat$x)) > lim) { |
733 | 4x |
seg$x$s <- TRUE |
734 | ! |
if (missing(type)) ck$t <- 1 |
735 | 4x |
txt$split <- splt_type(dat$x, ck$sp) |
736 | 4x |
splt(dat$x, ck$sp) |
737 |
} else { |
|
738 | 6x |
if (missing(type)) ck$t <- 1 |
739 | 7x |
as.factor(dat$x) |
740 |
} |
|
741 |
} |
|
742 |
} |
|
743 | 33x |
if (ck$t == 1 || (is.character(dat$x) || is.factor(dat$x))) { |
744 | 12x |
seg$x$l <- lvs(dat$x) |
745 | ! |
if (length(seg$x$l) == 1) ck$t <- 3 |
746 |
} |
|
747 | 33x |
svar <- NULL |
748 | 33x |
cvar <- if (any(grepl("^c", dn))) which(grepl("^c", dn)) else NULL |
749 | 33x |
if (any(grepl("^b", dn))) { |
750 | 18x |
svar <- which(grepl("^b", dn)) |
751 | 18x |
for (i in svar) { |
752 | 33x |
e <- if (grepl("bet", dn[i])) if (!seg$f1$e) "f1" else "f2" else "by" |
753 | 33x |
seg[[e]]$e <- TRUE |
754 | 33x |
seg[[e]]$i <- i |
755 | 33x |
seg[[e]]$l <- lvs(dat[, i]) |
756 | 33x |
if (is.factor(dat[, i]) && drop[[dn[i]]]) { |
757 | 1x |
seg[[e]]$l <- seg[[e]]$l[seg[[e]]$l %in% dat[, i]] |
758 |
} |
|
759 | 33x |
seg[[e]]$ll <- length(seg[[e]]$l) |
760 | 33x |
if (seg[[e]]$ll > lim && !(is.character(dat[, i]) || is.factor(dat[, i]))) { |
761 | 1x |
txt$split <- splt_type(dat[, i], ck$sp) |
762 | 1x |
dat[, i] <- splt(dat[, i], ck$sp) |
763 | 1x |
seg[[e]]$s <- TRUE |
764 | 1x |
seg[[e]]$l <- lvs(dat[, i]) |
765 | 1x |
seg[[e]]$ll <- length(seg[[e]]$l) |
766 |
} |
|
767 | 33x |
if (!is.factor(dat[, i])) { |
768 | 31x |
dat[, i] <- if (is.character(dat[, i])) { |
769 | 1x |
factor(dat[, i], lvs(dat[, i])) |
770 |
} else { |
|
771 | 30x |
as.factor(dat[, i]) |
772 |
} |
|
773 |
} |
|
774 |
} |
|
775 |
} |
|
776 | 16x |
if (seg$by$l[1] == "") seg$by$l <- "NA" |
777 | 33x |
fmod <- NULL |
778 | 33x |
vs <- c(y = txt$y, x = txt$x, by = txt$by, bet = txt$bet, cov = txt$cov) |
779 | 33x |
colnames(odat) <- vs |
780 | 33x |
if (ck$t != 2 && model) { |
781 | 2x |
tryCatch( |
782 |
{ |
|
783 | 2x |
mod <- formula(paste( |
784 | 2x |
vs["y"], "~", vs["x"], |
785 | 2x |
if (seg$by$e) paste0("*", vs["by"]), |
786 | 2x |
if (seg$f1$e) paste0("*", vs[grep("^bet", names(vs))[1]]), |
787 | 2x |
if (seg$f2$e) paste0("*", vs["bet2"]), |
788 | 2x |
if (length(cvar)) paste0("+", paste0(vs["cov"], collapse = "+")) |
789 |
)) |
|
790 | 2x |
fmod <- lm(mod, odat) |
791 | 2x |
if (model) { |
792 | 2x |
s <- summary(fmod) |
793 | 2x |
s$call <- mod |
794 | 2x |
print(s) |
795 |
} |
|
796 |
}, |
|
797 | 2x |
error = function(e) warning(paste("summary model failed:", e$message), call. = FALSE) |
798 |
) |
|
799 |
} |
|
800 | 33x |
if (!missing(levels)) { |
801 | ! |
tryCatch( |
802 |
{ |
|
803 | ! |
lc <- c("y", "x", "by", "f1", "f2") |
804 | ! |
ns <- c(txt$y, txt$x, txt$by, txt$bet, lc) |
805 | ! |
lc <- c(lc[seq_len(length(ns) - length(lc))], lc) |
806 | ! |
for (n in names(levels)) { |
807 | ! |
if (any(cns <- ns %in% n)) { |
808 | ! |
sl <- lc[cns <- which(cns)[1]] |
809 | ! |
if (sl == "y") { |
810 | ! |
sl <- list(i = 1) |
811 | ! |
vfac <- txt$yax |
812 | ! |
dat$y <- factor(dat$y, labels = vfac) |
813 |
} else { |
|
814 | ! |
sl <- seg[[sl]] |
815 | ! |
vfac <- lvs(dat[, sl$i]) |
816 |
} |
|
817 | ! |
vl <- length(vfac) |
818 | ! |
ln <- levels[[n]] |
819 | ! |
lo <- NULL |
820 | ! |
if (is.list(ln)) { |
821 | ! |
if (length(ln) > 1) lo <- levels[[n]][[2]] |
822 | ! |
ln <- ln[[1]] |
823 |
} |
|
824 | ! |
if (is.numeric(ln)) ln <- vfac[ln] |
825 | ! |
if (vl == length(ln)) { |
826 | ! |
vl <- list(dat[, sl$i]) |
827 | ! |
if (all(ln %in% vfac)) { |
828 | ! |
vl$levels <- ln |
829 |
} else { |
|
830 | ! |
if (!is.null(lo)) { |
831 | ! |
vl$labels <- ln[lo] |
832 | ! |
vl$levels <- vfac[lo] |
833 |
} else { |
|
834 | ! |
vl$labels <- ln |
835 |
} |
|
836 |
} |
|
837 | ! |
dat[, sl$i] <- do.call(factor, vl) |
838 | ! |
if ("l" %in% names(sl)) seg[[lc[cns]]]$l <- levels(dat[, sl$i]) |
839 |
} else { |
|
840 | ! |
warning(n, " has ", vl, " levels but you provided ", length(ln), call. = FALSE) |
841 |
} |
|
842 | ! |
if (sl$i == 1) { |
843 | ! |
txt$yax <- lvs(dat$y) |
844 | ! |
dat$y <- as.numeric(dat$y) |
845 |
} |
|
846 |
} |
|
847 |
} |
|
848 |
}, |
|
849 | ! |
error = function(e) warning("setting levels failed: ", e$message, call. = FALSE) |
850 |
) |
|
851 |
} |
|
852 | 33x |
dsf <- list(c1 = "", sep = rep.int("^^", nr), c2 = "") |
853 | 11x |
if (seg$f1$e) dsf$c1 <- dat[, seg$f1$i] |
854 | 5x |
if (seg$f2$e) dsf$c2 <- dat[, seg$f2$i] |
855 | 33x |
cdat <- split(dat, dsf) |
856 | 33x |
if (seg$by$e) { |
857 | 17x |
cdat <- lapply(cdat, function(s) { |
858 | 37x |
if (length(unique(s$by)) > 1) { |
859 | 37x |
split(s, factor(as.character(s$by), lvs(s$by))) |
860 |
} else { |
|
861 | ! |
s <- lapply(seg$by$l, function(l) if (sum(s$by == l)) s else NULL) |
862 | ! |
names(s) <- seg$by$l |
863 | ! |
s |
864 |
} |
|
865 |
}) |
|
866 | 17x |
if (all((seg$n <- vapply(cdat, length, 0)) == seg$by$ll)) { |
867 | 17x |
seg$n <- vapply(cdat, function(s) vapply(s, NROW, 0), numeric(seg$by$ll)) |
868 |
} else { |
|
869 | ! |
drop["by"] <- FALSE |
870 |
} |
|
871 |
} else { |
|
872 | 16x |
seg$n <- vapply(cdat, nrow, 0) |
873 |
} |
|
874 | 33x |
if (seg$by$e && ck$t != 3 && drop["by"]) { |
875 | 10x |
seg$by$l <- if (is.null(rownames(seg$n))) { |
876 | ! |
structure(seg$n > 1, names = seg$by$l) |
877 |
} else { |
|
878 | 10x |
vapply(rownames(seg$n), function(r) any(seg$n[r, ] > 1), TRUE) |
879 |
} |
|
880 | 10x |
if (!any(seg$by$l)) { |
881 | ! |
if (ck$t == 2) stop("no level of by has more than 1 observation") |
882 | ! |
warning("no level of by has more than 1 observation so it was treated as colorby", call. = FALSE) |
883 | ! |
seg$by$e <- FALSE |
884 | ! |
seg$by$l <- "" |
885 | ! |
seg$by$ll <- 1 |
886 | ! |
if (ck$cb) { |
887 | ! |
colorby <- substitute(colorby) |
888 | ! |
colorby[[2]] <- dat$by |
889 |
} else { |
|
890 | ! |
colorby <- dat$by |
891 |
} |
|
892 | ! |
ck$cb <- TRUE |
893 | ! |
dat <- dat[, -seg$by$i] |
894 | ! |
cdat <- split(dat, dsf) |
895 | ! |
seg$n <- vapply(cdat, nrow, 0) |
896 |
} else { |
|
897 | 10x |
seg$by$l <- names(seg$by$l[seg$by$l]) |
898 | 10x |
seg$by$ll <- length(seg$by$l) |
899 |
} |
|
900 |
} |
|
901 | 33x |
if (!is.null(nrow(seg$n))) { |
902 | 17x |
cdat <- cdat[apply(seg$n, 2, function(r) any(r > 1))] |
903 | 17x |
if (nrow(seg$n) > 1) seg$n <- colSums(seg$n[, names(cdat), drop = FALSE]) |
904 |
} |
|
905 | 1x |
if (ck$mv) seg$n <- seg$n / length(ck$mvn) |
906 | 33x |
seg$ll <- length(seg$n) |
907 | 2x |
if (ck$mlvn && seg$by$e && (seg$by$s || !any(grepl("^[0-9]", seg$by$l)))) lvn <- FALSE |
908 | 33x |
ptxt <- c(txt[-c(1, 7)], l = lapply(seg[1:4], "[[", "l")) |
909 | 10x |
if (missing(labels.trim) && seg$ll == 1 && length(ptxt$l.x) < 2 && (seg$by$ll == 1 || ck$mv)) labels.trim <- 40 |
910 | 33x |
if (is.numeric(labels.trim) || is.character(labels.filter)) { |
911 | 32x |
vs <- c("y", "x", "by", "bet", "cov", "l.x", "l.f1", "l.f2", "l.by") |
912 | 32x |
ptxt <- lapply(vs, function(n) { |
913 | 288x |
n <- as.character(ptxt[[n]]) |
914 | 288x |
if (length(n) != 0 && all(n != "NULL" & n != "")) { |
915 | 144x |
names(n) <- n |
916 | 144x |
if (is.character(labels.filter)) n <- gsub(labels.filter, " ", n, perl = TRUE) |
917 | ! |
if (any(is.na(iconv(n)))) stop("labels appear to be misencoded -- check them with the iconv function") |
918 | ! |
if (is.numeric(labels.trim)) if (any(ln <- nchar(n) > (labels.trim + 3))) n[ln] <- sub("$", "...", strtrim(n[ln], labels.trim)) |
919 |
} |
|
920 | 288x |
n |
921 |
}) |
|
922 | 32x |
names(ptxt) <- vs |
923 |
} |
|
924 | ! |
if (is.character(labx)) ptxt$x <- labx else if (ck$t == 2) ptxt$x <- ptxt$y |
925 | ! |
if (is.character(laby)) ptxt$y <- laby else if (ck$t == 2) ptxt$y <- "Density" |
926 | 33x |
ck$ileg <- seg$by$e && ck$leg > 1 |
927 | 33x |
ptxt$leg <- ptxt$l.by |
928 | 33x |
fdat <- dat |
929 | 33x |
names(fdat) <- paste0(".", names(dat)) |
930 | 33x |
fdat <- if (!is.null(data)) if (nrow(data) == nr) cbind(data, fdat, odat) else data else cbind(fdat, odat) |
931 |
# figuring out colors |
|
932 | 33x |
csf <- if (is.function(color.summary)) { |
933 | ! |
color.summary |
934 | 33x |
} else if (grepl("^av|mea", color.summary, TRUE)) { |
935 | 33x |
splot.colormean |
936 | 33x |
} else if (grepl("^mode", color.summary, TRUE)) { |
937 | ! |
function(x) names(which.max(table(x))) |
938 |
} else { |
|
939 | ! |
function(x) lvs(x)[round(median(as.numeric(factor(x, lvs(x)))))] |
940 |
} |
|
941 | 33x |
colors <- substitute(colors) |
942 | 33x |
seg$cols <- if (ck$co) colors else if (any(paste(colors) %in% names(fdat))) NULL else tryCatch(tdc(colors), error = function(e) NULL) |
943 | 1x |
if (is.null(seg$cols)) seg$cols <- eval(colors, fdat, parent.frame(1)) |
944 | 33x |
ptxt$cbo <- substitute(colorby) |
945 | ! |
if (length(ptxt$cbo) > 1 && ptxt$cbo[[1]] == "list") ptxt$cbo <- ptxt$cbo[[2]] |
946 | 33x |
if (!is.character(ptxt$cbo)) ptxt$cbo <- deparse(ptxt$cbo) |
947 | 33x |
if (length(seg$cols) == 1) { |
948 | 32x |
if (grepl("^bri|^dar|^pas", seg$cols, TRUE) && (ck$cb || (seg$by$ll > 1 && seg$by$ll < 10))) { |
949 | 20x |
seg$cols <- splot.color(seed = seg$cols) |
950 | 12x |
} else if (ck$co || grepl("^gra|^grey", seg$cols, TRUE)) seg$cols <- splot.color(seg$by$ll, seed = "grey") |
951 |
} |
|
952 | 33x |
cl <- length(seg$cols) |
953 | 33x |
seg$lcols <- seg$cols |
954 | 33x |
ck[c("cbn", "cbb")] <- tg <- FALSE |
955 | 33x |
chl <- if (ck$cblegm) FALSE else ck$cbleg |
956 | 33x |
if (ck$cb) { |
957 | 3x |
sca <- names(formals(splot.color)) |
958 | 3x |
colorby <- substitute(colorby) |
959 | 3x |
cba <- if (any(paste(colorby) %in% names(fdat))) NULL else tryCatch(tdc(colorby), error = function(e) NULL) |
960 | 2x |
if (is.null(cba)) cba <- eval(substitute(colorby), fdat) |
961 | ! |
if (is.null(cba) || (is.character(cba) && length(cba) == 1)) cba <- tdc(colorby) |
962 | 3x |
if (!is.list(cba) || is.data.frame(cba)) { |
963 | 3x |
cba <- list(x = cba) |
964 | ! |
} else if (is.null(names(cba))) { |
965 | ! |
names(cba) <- names(formals(splot.color))[seq_along(cba)] |
966 | ! |
} else if (any(names(cba) == "")) { |
967 | ! |
tn <- names(cba) == "" |
968 | ! |
names(cba)[tn] <- sca[seq_len(sum(tn))] |
969 |
} |
|
970 | 3x |
if (!is.null(ncol(cba$x)) && ncol(cba$x) > 1) { |
971 | ! |
if (!"by" %in% names(cba)) cba$by <- cba$x[, 2] |
972 | ! |
cba$x <- cba$x[, 1] |
973 |
} |
|
974 | 3x |
cba$flat <- TRUE |
975 | 3x |
cn <- names(cba) |
976 | 3x |
ck$cbb <- "by" %in% cn |
977 | 3x |
if (ck$mv && length(cba$x) * ck$mvnl == nr) { |
978 | ! |
cba$x <- rep(cba$x, ck$mvnl) |
979 | ! |
if (ck$cbb) cba$by <- rep(cba$by, ck$mvnl) |
980 |
} |
|
981 | 3x |
if (ck$cbb) { |
982 | ! |
cba$by <- if (is.numeric(cba$by) && length(unique(cba$by)) > lim) { |
983 | ! |
ptxt$cbos <- if (missing(leg.title)) colorby else leg.title |
984 | ! |
ptxt$cbos <- if (is.call(ptxt$cbos)) { |
985 | ! |
deparse(ptxt$cbos[[if (cn[2] == "by" && length(ptxt$cbos) > 2) 3 else 2]]) |
986 |
} else { |
|
987 | ! |
deparse(ptxt$cbos) |
988 |
} |
|
989 | ! |
splt(cba$by, ck$sp) |
990 |
} else { |
|
991 | ! |
factor(cba$by, lvs(cba$by)) |
992 |
} |
|
993 | ! |
if (seg$by$e && seg$by$ll <= lim && length(cba$by) == nr && !identical(as.character(dat$by), as.character(cba$by))) { |
994 | ! |
cba$by <- dat$by:cba$by |
995 | ! |
cbbl <- sub(":.*", "", lvs(cba$by)) |
996 | ! |
colorby[[3]] <- as.name(paste0(ptxt$by, ":", colorby[[3]])) |
997 | ! |
seg$lcols <- seg$cols <- splot.color(cbbl, seed = seg$cols) |
998 | ! |
if (!ck$b && ck$line) { |
999 | ! |
if (length(lty) < seg$by$ll) lty <- seq_len(seg$by$ll) |
1000 | ! |
ck[c("lty", "ltym")] <- FALSE |
1001 | ! |
lty <- rep(lty, table(cbbl)) |
1002 | ! |
seg$lty <- unique(lty) |
1003 |
} |
|
1004 |
} else { |
|
1005 | ! |
lby <- length(lvs(cba$by)) |
1006 | ! |
if (!color.lock && cl < lby) seg$cols <- splot.color(as.list(rep.int(round(lby / cl + .49), cl)), seed = seg$cols) |
1007 |
} |
|
1008 |
} |
|
1009 | 3x |
if (length(cba$x) == ck$orn) cba$x <- cba$x[ck$omitted$all] |
1010 | ! |
if (ck$cbb && length(cba$by) == ck$orn) cba$by <- cba$by[ck$omitted$all] |
1011 | 3x |
if (seg$by$e || !"seed" %in% cn) { |
1012 | 3x |
cba$seed <- seg$cols |
1013 | 3x |
if ("seed" %in% cn) { |
1014 | ! |
warning("colorby's seed is ignored because by is specified -- use colors to set seeds", call. = FALSE) |
1015 |
} |
|
1016 |
} |
|
1017 | 3x |
cn <- names(cba) |
1018 | 3x |
ckn <- cken <- is.numeric(cba$x) |
1019 | 3x |
if ((ck$t == 1 || any(seg$by$e, seg$f1$e)) && length(cba$x) == nr) { |
1020 | 1x |
seg$cbxls <- lvs(cba$x) |
1021 | 1x |
if (ck$t != 3 && (!seg$by$e || seg$by$ll > lim)) { |
1022 | 1x |
cba$x <- vapply(split(cba$x, if (seg$by$e) dat$by else dat$x), function(x) { |
1023 | 2x |
if (ckn) { |
1024 | 2x |
mean(x, na.rm = TRUE) |
1025 |
} else { |
|
1026 | ! |
names(which.max(table(x))) |
1027 |
} |
|
1028 | 1x |
}, if (ckn) 0 else "") |
1029 | 1x |
if (!ckn || length(seg$cbxls) <= lim) { |
1030 | ! |
cba$x <- if (ckn) { |
1031 | ! |
cba$x <- round(cba$x, 3) |
1032 | ! |
factor(cba$x, sort(unique(cba$x))) |
1033 |
} else { |
|
1034 | ! |
factor(cba$x, seg$cbxls) |
1035 |
} |
|
1036 | ! |
ckn <- FALSE |
1037 |
} |
|
1038 | 1x |
if (ck$cbb && length(cba$by) == nr) { |
1039 | ! |
cba$by <- factor(vapply(split(cba$by, if (seg$by$e) dat$by else dat$x), function(x) { |
1040 | ! |
names(which.max(table(x))) |
1041 | ! |
}, ""), lvs(cba$by)) |
1042 | ! |
if (length(cba$x) != length(cba$by)) { |
1043 | ! |
cba$by <- NULL |
1044 | ! |
ck$cbb <- FALSE |
1045 | ! |
warning("colorby's by was dropped as it was not the same length as x after being aligned with the formula's x", |
1046 | ! |
call. = FALSE |
1047 |
) |
|
1048 |
} |
|
1049 |
} |
|
1050 | 1x |
if (ckn && !ck$b && ck$t == 1 && length(cba$x) == 2) { |
1051 | ! |
cba$x <- c(mean(cba$x), cba$x) |
1052 | ! |
if (ck$cbb) cba$by <- factor(c(lvs(cba$by)[which.max(tabulate(cba$by))], as.character(cba$by)), lvs(cba$by)) |
1053 |
} |
|
1054 | ! |
} else if (!ck$cbb) { |
1055 | ! |
if (ck$t == 3) { |
1056 | ! |
cba$by <- dat$by |
1057 |
} else { |
|
1058 | ! |
cba$x <- data.frame(cba$x, dat$by) |
1059 | ! |
if (ck$b && seg$ll != 1) cba$x$x <- dat$x |
1060 | ! |
cba$x <- unlist(lapply(split(cba$x, dsf), function(x) { |
1061 | ! |
lapply( |
1062 | ! |
split(x[, 1], x[, -1]), function(x) if (!length(x)) NA else if (ckn) mean(x, na.rm = TRUE) else names(which.max(table(x))) |
1063 |
) |
|
1064 | ! |
}), TRUE, FALSE) |
1065 | ! |
if (length(cba$x) == seg$by$ll) names(cba$x) <- seg$by$l else seg$ill <- names(cba$x) |
1066 | ! |
if (!ckn) cba$x <- factor(cba$x, seg$cbxls) |
1067 | ! |
cba$by <- factor(rep_len(seg$by$l, length(cba$x)), seg$by$l) |
1068 | ! |
if (ck$cblegm) ck$cbleg <- FALSE |
1069 |
} |
|
1070 |
} |
|
1071 |
} |
|
1072 | 3x |
if (ck$cbb) { |
1073 | ! |
if (length(cba$by) == nr && length(cba$x) == seg$by$ll) { |
1074 | ! |
tn <- lapply(split(cba$by, dat$by), unique) |
1075 | ! |
if (all(vapply(tn, length, 0) == 1)) { |
1076 | ! |
cba$by <- unlist(tn, use.names = FALSE) |
1077 |
} else { |
|
1078 | ! |
cba$by <- NULL |
1079 | ! |
warning("colorby's by was dropped as its levels within levels of by are not unique", call. = FALSE) |
1080 |
} |
|
1081 |
} |
|
1082 | ! |
if (ck$cbleg) { |
1083 | ! |
chl <- TRUE |
1084 | ! |
if (missing(leg.title)) { |
1085 | ! |
leg.title <- substitute(colorby) |
1086 | ! |
leg.title <- if (is.call(leg.title) && length(leg.title) > 2) { |
1087 | ! |
deparse(leg.title[[if (cn[2] == "by") 3 else 2]]) |
1088 |
} else { |
|
1089 | ! |
deparse(leg.title) |
1090 |
} |
|
1091 |
} |
|
1092 | ! |
ptxt$leg <- lvs(cba$by) |
1093 |
} |
|
1094 |
} else { |
|
1095 | 3x |
if (ck$cbleg && (ck$t == 1 || !seg$by$e)) { |
1096 | 3x |
chl <- TRUE |
1097 | 3x |
tg <- ckn |
1098 | 3x |
ll <- all(ck$t != 1 || (length(seg$x$l) > 2 || seg$by$ll > 2)) |
1099 | 3x |
if (ll) { |
1100 | ! |
if (is.call(cba$x)) cba$x <- tdc(cba$x) |
1101 | 2x |
ll <- length(unique(cba$x)) > 2 |
1102 |
} |
|
1103 | 3x |
if (missing(leg.title) && length(ptxt$cbo) == 1) leg.title <- ptxt$cbo |
1104 | 3x |
ptxt$leg <- if (ckn) formatC(c(min(cba$x), if (ll) mean(cba$x), max(cba$x)), 2, format = "f") else lvs(cba$x) |
1105 | ! |
} else if (!seg$by$e) ck$leg <- 0 |
1106 |
} |
|
1107 | ! |
if (!ckn && length(cba$x) > lim && !"shuffle" %in% cn) cba$shuffle <- TRUE |
1108 | 3x |
sca <- cn %in% sca |
1109 | ! |
if (any(!sca)) warning(paste0("unused colorby arguments: ", paste(cn[!sca], collapse = ", ")), call. = FALSE) |
1110 | 3x |
seg$cols <- do.call(splot.color, cba[sca]) |
1111 | 1x |
if (!is.null(names(cba$x))) names(seg$cols) <- names(cba$x) |
1112 | 3x |
if (!chl || ck$cbb) { |
1113 | ! |
ck$cbn <- TRUE |
1114 | ! |
ptxt$cbn <- paste0("Colored by ", if (ckn || cken) "value of " else "levels of ", ptxt$cbo, ". ") |
1115 |
} |
|
1116 | 3x |
if (seg$by$e && !ck$cbb) { |
1117 | ! |
if (length(seg$cols) == length(ptxt$leg)) { |
1118 | ! |
seg$lcols <- seg$cols |
1119 | ! |
} else if (ckn && ck$cbb) { |
1120 | ! |
seg$lcols <- seg$cols[c(which.min(cba$x), which.max(cba$x))] |
1121 |
} |
|
1122 |
} |
|
1123 | 3x |
if (chl) { |
1124 | ! |
if (ck$legm && !ck$leg) ck$leg <- 1 + seg$ll > 1 |
1125 | 3x |
if ((ck$ltym || length(lty) == length(seg$cbxls)) && (!seg$by$e || seg$by$ll > length(ptxt$leg))) { |
1126 | 3x |
ck[c("lty", "ltym")] <- FALSE |
1127 | 3x |
if (!is.numeric(lty)) lty <- 1 |
1128 | 3x |
seg$lty <- rep_len(lty, seg$by$ll) |
1129 | 3x |
if (!ck$ltym) lty <- seq_along(seg$cbxls) |
1130 | 3x |
if (ck$ltym && seg$by$e && !ckn) { |
1131 | ! |
cbl <- cba[[if (ck$cbb) "by" else "x"]] |
1132 | ! |
for (g in seq_along(seg$cbxls)) seg$lty[cbl == seg$cbxls[[g]]] <- lty[[g]] |
1133 |
} |
|
1134 | 3x |
lty <- unique(seg$lty) |
1135 |
} |
|
1136 | 3x |
if (tg) { |
1137 | 3x |
l <- length(seg$cols) |
1138 | 3x |
seg$lcols <- seg$cols[order(cba$x)[c(1, if (ll) round(mean(seq_len(l))), l)]] |
1139 | ! |
} else if (seg$by$e && length(seg$cols) == seg$by$ll && length(ptxt$leg) == seg$by$ll) seg$lcols <- seg$cols |
1140 |
} else { |
|
1141 | ! |
ptxt$leg <- if (length(seg$cols) == seg$by$ll && !is.null(names(seg$cols))) names(seg$cols) else seg$by$l |
1142 | ! |
if (length(ptxt$leg) == length(seg$cols)) seg$lcols <- seg$cols else if (all(ptxt$leg %in% names(seg$cols))) seg$lcols <- seg$cols[ptxt$leg] else if (seg$by$e && length(seg$cols) == nr) seg$lcols <- vapply(split(seg$cols, dat$by), csf, "") |
1143 |
} |
|
1144 |
} else { |
|
1145 | 30x |
if (!color.lock && cl < seg$by$ll) { |
1146 | ! |
seg$cols <- |
1147 | ! |
splot.color(as.list(rep.int(round(seg$by$ll / cl + .49), cl)), seed = seg$cols) |
1148 |
} |
|
1149 | 30x |
if (ck$t != 2 && !any(length(seg$cols) == c(nr, seg$by$ll)) && (!ck$b || seg$by$e)) { |
1150 | 13x |
seg$cols <- rep_len(seg$cols, seg$by$ll) |
1151 |
} |
|
1152 |
} |
|
1153 | 33x |
if (seg$by$e && !all(seg$by$l %in% names(seg$cols))) { |
1154 | 17x |
if (length(seg$cols) == seg$by$ll) { |
1155 | 13x |
names(seg$cols) <- seg$by$l |
1156 | 13x |
if (!ck$cbb && !chl) seg$lcols <- seg$cols |
1157 | 4x |
} else if (length(seg$lcols) == seg$by$ll) { |
1158 | ! |
names(seg$lcols) <- seg$by$l |
1159 | 4x |
} else if (length(ptxt$leg) == seg$by$ll) { |
1160 | 4x |
if (length(seg$lcols) == nr) { |
1161 | ! |
seg$lcols <- split(seg$lcols, dat$by) |
1162 |
} else { |
|
1163 | 4x |
seg$lcols <- rep_len(seg$lcols, seg$by$ll) |
1164 | 4x |
if (any(grepl(names(cdat)[1], names(seg$lcols), fixed = TRUE))) { |
1165 | ! |
for (g in names(cdat)) names(seg$lcols) <- sub(paste0(g, "."), "", names(seg$lcols), fixed = TRUE) |
1166 | ! |
if (all(seg$by$l %in% names(seg$lcols))) seg$lcols <- seg$lcols[seg$by$l] |
1167 |
} else { |
|
1168 | 4x |
names(seg$lcols) <- seg$by$l |
1169 |
} |
|
1170 |
} |
|
1171 |
} |
|
1172 | 17x |
if (ck$b && length(seg$cols) == nr) { |
1173 | ! |
seg$cols <- unlist(lapply( |
1174 | ! |
split(data.frame(seg$cols, dat$by), dat$x), |
1175 | ! |
function(d) vapply(split(d[, 1], d[, 2], drop = TRUE), csf, "") |
1176 | ! |
), use.names = FALSE) |
1177 |
} |
|
1178 |
} |
|
1179 | 33x |
if (ck$opacity && (ck$t != 3 || !points)) { |
1180 | ! |
if (is.list(seg$cols)) { |
1181 | ! |
lapply(seg$cols, adjustcolor, opacity) |
1182 |
} else { |
|
1183 | ! |
seg$cols[] <- adjustcolor(seg$cols, opacity) |
1184 |
} |
|
1185 |
} |
|
1186 | 15x |
if (lvn && length(ptxt$by)) ptxt$l.by[] <- paste0(paste0(ptxt$by, ": "), ptxt$l.by) |
1187 | 33x |
if (length(seg$cols) == nr) { |
1188 | 3x |
if (any(seg$by$e && !ck$b, seg$f1$e, seg$f2$e)) { |
1189 | 1x |
seg$scols <- split(if (seg$by$e && !ck$b) data.frame(seg$cols, dat$by) else seg$cols, dsf) |
1190 | 1x |
if (!ck$b) { |
1191 | ! |
if (seg$by$e) seg$scols <- lapply(seg$scols, function(d) split(d[, 1], d[, 2])) |
1192 | ! |
if (ck$t == 1) { |
1193 | ! |
seg$scols <- lapply(seg$scols, function(bl) { |
1194 | ! |
vapply(bl, function(bll) { |
1195 | ! |
if (length(bll)) csf(bll) else "" |
1196 |
}, "") |
|
1197 |
}) |
|
1198 |
} |
|
1199 |
} |
|
1200 |
} |
|
1201 | 30x |
} else if (seg$ll != 1 && "ill" %in% names(seg)) { |
1202 | ! |
seg$scols <- lapply(names(cdat), function(n) seg$cols[grepl(n, names(seg$cols), fixed = TRUE)]) |
1203 | ! |
names(seg$scols) <- names(cdat) |
1204 |
} |
|
1205 | 33x |
if (ck$t == 2 && seg$by$ll > 1 && !all(seg$by$l %in% names(seg$cols))) { |
1206 | 4x |
seg$cols <- if (length(seg$lcols) == seg$by$ll) { |
1207 | 4x |
seg$lcols |
1208 | 4x |
} else if (length(seg$cols) == 1) { |
1209 | ! |
splot.color(seq_len(seg$by$ll), seed = seg$cols) |
1210 |
} else { |
|
1211 | ! |
rep_len(seg$cols, seg$by$ll) |
1212 |
} |
|
1213 | ! |
if (is.null(names(seg$cols))) names(seg$cols) <- seg$by$l |
1214 |
} |
|
1215 |
# figuring out parts of the plot |
|
1216 | 33x |
ylab <- if (ck$ly) ptxt$y else "" |
1217 | 33x |
xlab <- if (ck$lx && length(ptxt$x)) ptxt$x else "" |
1218 | 33x |
main <- if (is.logical(title) && title) { |
1219 | 31x |
paste0(if (ck$t == 2) { |
1220 | 9x |
paste("Density of", ptxt$x) |
1221 |
} else { |
|
1222 | 22x |
paste( |
1223 | 22x |
ptxt$y, |
1224 | 22x |
"by", ptxt$x |
1225 |
) |
|
1226 | 31x |
}, if (seg$by$e && !ck$mv) paste(" at levels of", ptxt$by), if (length(ptxt$bet) != 0) { |
1227 | 10x |
paste( |
1228 | 10x |
" between", |
1229 | 10x |
paste(ptxt$bet, collapse = " & ") |
1230 |
) |
|
1231 |
}) |
|
1232 | 33x |
} else if (is.character(title)) title else "" |
1233 | 33x |
if (!is.character(note)) { |
1234 | 32x |
if (!is.logical(note) || note) { |
1235 | 32x |
ck$er <- ck$t == 1 && ck$el |
1236 | 32x |
ck$spm <- txt$split != "none" |
1237 | 32x |
if (ck$er && all(vapply(cdat, function(d) { |
1238 | 4x |
if (!is.data.frame(d)) all(vapply(d, function(dd) !anyDuplicated(dd$x), TRUE)) else !anyDuplicated(d$x) |
1239 | 32x |
}, TRUE))) { |
1240 | ! |
ck[c("el", "er")] <- FALSE |
1241 |
} |
|
1242 | 32x |
if (any(ck$cbn, ck$spm, ck$er, ck$t == 3 && ck$ltck)) { |
1243 | 21x |
if (ck$spm) { |
1244 | 5x |
tv <- unique(c( |
1245 | 5x |
if (seg$x$s) ptxt$x, |
1246 | 5x |
if (seg$by$s) ptxt$by, |
1247 | 5x |
if (seg$f1$s) ptxt$bet[1], |
1248 | 5x |
if (seg$f2$s) ptxt$bet[2], |
1249 | 5x |
if ("cbos" %in% names(ptxt)) ptxt$cbos |
1250 |
)) |
|
1251 | 5x |
tv <- sub(", (?=[A-z0-9]+$)", if (length(tv) > 2) ", & " else " & ", paste(tv, collapse = ", "), perl = TRUE) |
1252 |
} |
|
1253 | 21x |
note <- paste0( |
1254 | 21x |
if (ck$spm) paste0(tv, " split by ", txt$split, ". "), |
1255 | 21x |
if (ck$er) paste("Error bars show", ifelse(ck$e, "standard error. ", "95% confidence intervals. ")), |
1256 | 21x |
if (ck$cbn) ptxt$cbn, |
1257 | 21x |
if (ck$t == 3 && ck$ltck) { |
1258 | 11x |
paste0("Line type: ", switch(ck$ltco, |
1259 | 11x |
li = "lm", |
1260 | 11x |
lo = "loess", |
1261 | 11x |
sm = "spline", |
1262 | 11x |
e = "connected", |
1263 | 11x |
pr = "probability" |
1264 |
), ".") |
|
1265 |
} |
|
1266 |
) |
|
1267 |
} |
|
1268 |
} else { |
|
1269 | ! |
note <- "" |
1270 |
} |
|
1271 |
} |
|
1272 | 33x |
ck$sud <- (!is.logical(sud) || sud) && (is.character(sud) || ck$su || ck$c) |
1273 | 33x |
ck$sub <- (!is.logical(sub) || sub) && (is.character(sub) || seg$ll > 1 || ndisp) |
1274 | 33x |
pdo <- list(...) |
1275 | 33x |
l2m <- function(l) { |
1276 | 1x |
tl <- round(l^.5) |
1277 | 1x |
c(tl + all(l > c(tl^2, tl * (tl - 1))), tl) |
1278 |
} |
|
1279 | 33x |
seg$dim <- if (any(ckl <- c("mfrow", "mfcol") %in% names(pdo))) { |
1280 | ! |
pdo[[if (ckl[1]) "mfrow" else "mfcol"]] |
1281 | 33x |
} else if (!seg$f1$e) { |
1282 | 22x |
c(1, 1) |
1283 | 33x |
} else if (!seg$f2$e) { |
1284 | 6x |
if (seg$f1$ll > 2) l2m(seg$f1$ll) else c(2, 1) |
1285 |
} else { |
|
1286 | 5x |
c(seg$f1$ll, seg$f2$ll) |
1287 |
} |
|
1288 | 33x |
seg$l <- t(data.frame(strsplit(names(cdat), ".^^.", fixed = TRUE))) |
1289 | 33x |
if (seg$f1$e) { |
1290 | 11x |
rownames(seg$l) <- match(seg$l[, 1], seg$f1$l) |
1291 | 11x |
seg[c("f1", "f2")] <- lapply(c("f1", "f2"), function(n) { |
1292 | 22x |
nl <- seg[[n]] |
1293 | 16x |
if (nl$e) nl$l <- unique(seg$l[, if (n == "f1") 1 else 2]) |
1294 | 16x |
if (nl$e) nl$ll <- length(nl$l) |
1295 | 22x |
nl |
1296 |
}) |
|
1297 |
} |
|
1298 | 33x |
nc <- seg$dim[1] * seg$dim[2] |
1299 | 13x |
if (length(ptxt$leg) == 1 && ptxt$leg == "NA") ck$leg <- 0 |
1300 | 33x |
if (ck$leg == 1 && ck$legm && (dev.size(units = "in")[1] < 2 || |
1301 | 33x |
(all(seg$dim == 1) && (ck$t != 1 || seg$by$ll < 9)))) { |
1302 | 10x |
ck$leg <- 2 |
1303 |
} |
|
1304 | 10x |
if (ck$leg == 1) if (is.logical(leg) || is.character(leg)) leg <- nc + 1 |
1305 | 33x |
dop <- par(no.readonly = TRUE) |
1306 | 33x |
if (drop["bet"] && !any(ckl) && any(nc - seg$ll >= seg$dim)) { |
1307 | 1x |
seg$dim <- l2m(seg$ll) |
1308 | 1x |
nc <- seg$dim[1] * seg$dim[2] |
1309 |
} |
|
1310 | 33x |
seg$dmat <- matrix(seq_len(nc), seg$dim[2], seg$dim[1]) |
1311 | 33x |
if (!drop["bet"] && seg$f2$e) { |
1312 | ! |
seg$lc <- vapply(seg$f1$l, function(l) seg$f2$l %in% seg$l[seg$l[, 1] == l, 2], logical(seg$f2$ll)) |
1313 |
} else { |
|
1314 | 33x |
seg$lc <- seg$dmat == 0 |
1315 | 33x |
seg$lc[seq_len(seg$ll)] <- TRUE |
1316 |
} |
|
1317 | 33x |
if (nc > seg$ll) { |
1318 | ! |
if (any(ckl)) { |
1319 | ! |
tm <- lapply(dim(seg$lc), seq_len) |
1320 | ! |
mm <- matrix(FALSE, seg$dim[2], seg$dim[1]) |
1321 | ! |
mm[tm[[1]], tm[[2]]] <- seg$lc |
1322 | ! |
seg$lc <- mm |
1323 |
} |
|
1324 | ! |
if (!drop["bet"]) { |
1325 | ! |
seg$dmat[seg$lc] <- seq_len(seg$ll) |
1326 | ! |
seg$dmat[!seg$lc] <- seq_len(sum(!seg$lc)) + seg$ll |
1327 |
} |
|
1328 |
} |
|
1329 | 33x |
ck$legcol <- FALSE |
1330 | 33x |
if (lpos == "auto") "topright" |
1331 | 33x |
lega <- list(x = lpos, col = seg$lcols, cex = cex["leg"], text.font = font["leg"], bty = "n", x.intersp = .5, xjust = .5, legend = ptxt$leg) |
1332 | 33x |
if (ck$legt && (is.character(leg.title) && length(leg.title) == 1 || length(ptxt$by) == 1)) { |
1333 | 19x |
lega$title <- if (is.character(leg.title)) leg.title else ptxt$by |
1334 |
} |
|
1335 | 33x |
l <- length(lega$legend) |
1336 | 33x |
seg$lwd <- rep_len(if (is.numeric(lwd)) lwd else 2, seg$by$ll) |
1337 | 30x |
if (!"lty" %in% names(seg)) seg$lty <- rep_len(if (!ck$ltym && !ck$lty) lty else if (ck$cbleg && ck$cbb && seg$by$ll == length(cba$by)) as.numeric(cba$by) else if (ck$lty && lty) seq_len(6) else 1, seg$by$ll) |
1338 | 31x |
if (length(seg$cols) == length(seg$lcols)) names(seg$lcols) <- names(seg$cols) |
1339 | 17x |
if (seg$by$e || ck$cbb) names(seg$lwd) <- names(seg$lty) <- if (length(seg$lcols) == seg$by$ll) names(seg$lcols) else if (all(c(length(seg$lwd), length(seg$lty)) == length(seg$cols))) names(seg$cols) else seg$by$l |
1340 | 33x |
lega$lwd <- if (seg$by$ll == l) seg$lwd else rep_len(if (is.numeric(lwd)) lwd else 2, l) |
1341 | 33x |
lega$lty <- if (seg$by$ll == l) seg$lty else rep_len(if (!ck$ltym && !ck$lty) lty else if (ck$lty && lty) seq_len(6) else 1, l) |
1342 | ! |
if (!missing(leg.args)) lega[names(leg.args)] <- leg.args |
1343 | 33x |
if (any(tck <- !names(lega) %in% names(formals(legend)))) { |
1344 | ! |
warning("dropped items from leg.args: ", paste(names(lega)[tck], collapse = ", "), call. = FALSE) |
1345 | ! |
lega <- lega[!tck] |
1346 |
} |
|
1347 | 33x |
if ((ck$legm || !ck$leg) && missing(leg.args) && (sum(strheight(lega$legend, "i")) * cex["leg"] * 1.5 / if ("ncol" %in% names(pdo)) { |
1348 | ! |
pdo$ncol |
1349 |
} else { |
|
1350 | 33x |
1 |
1351 | 33x |
}) > dev.size()[2]) { |
1352 | ! |
ck$leg <- 0 |
1353 | ! |
if (ck$ltym) seg$lty[] <- 1 |
1354 |
} |
|
1355 | 33x |
if (ck$leg == 1) { |
1356 | ! |
if (ck$legm && nc > seg$ll) leg <- which(!seg$lc)[1] |
1357 | 10x |
if (nc > seg$ll && leg <= nc) { |
1358 | ! |
if (seg$lc[leg] && !drop["bet"]) { |
1359 | ! |
mm <- which(!seg$lc) |
1360 | ! |
leg <- mm[which.min(abs(mm - leg))] |
1361 |
} |
|
1362 | ! |
if (seg$lc[leg]) { |
1363 | ! |
seg$lc[] <- TRUE |
1364 | ! |
seg$lc[leg] <- FALSE |
1365 | ! |
seg$lc[seg$lc][bsq <- seq_len(nc - seg$ll - 1) + seg$ll] <- FALSE |
1366 | ! |
seg$dmat[seg$lc] <- seq_len(seg$ll) |
1367 | ! |
seg$dmat[leg] <- seg$ll + 1 |
1368 | ! |
seg$lc[leg] <- TRUE |
1369 | ! |
seg$dmat[!seg$lc] <- bsq + 1 |
1370 |
} else { |
|
1371 | ! |
seg$lc[leg] <- TRUE |
1372 | ! |
seg$dmat[leg] <- seg$ll + 1 |
1373 | ! |
seg$dmat[!seg$lc] <- seq_len(sum(!seg$lc)) + seg$ll + 1 |
1374 |
} |
|
1375 | ! |
if (ck$lp) lega$x <- "center" |
1376 | 10x |
} else if (ck$lp) lega$x <- "right" |
1377 | 10x |
if (nc == seg$ll || leg > nc) { |
1378 | 10x |
seg$dmat[seg$dmat == seg$ll + 1] <- nc + 1 |
1379 | 10x |
seg$dmat <- rbind(seg$dmat, rep.int(seg$ll + 1, seg$dim[1])) |
1380 | 10x |
ck$legcol <- TRUE |
1381 |
} |
|
1382 |
} |
|
1383 | 33x |
seg[c("dmat", "lc")] <- lapply(seg[c("dmat", "lc")], t) |
1384 | 33x |
seg$prat <- if (missing(prat) && ck$legcol) { |
1385 | 10x |
lw <- max(.4, if (ck$legt) strwidth(lega$title, "i"), strwidth(ptxt$leg, "i") / if (seg$ll > 1) 1.3 else 1.7) + |
1386 | 10x |
if (all(seg$dim == 1)) .5 else .2 |
1387 | 10x |
fw <- (dev.size(units = "in")[1] - lw) / seg$dim[2] |
1388 | 10x |
c(fw, max(fw / 10, lw)) |
1389 |
} else { |
|
1390 | 23x |
prat |
1391 |
} |
|
1392 | 33x |
op <- list( |
1393 | 33x |
oma = c( |
1394 | 33x |
sum(is.character(note) && note != "", ck$lx) + .15, ck$ly * .9, |
1395 | 33x |
max(sum((main != "") * 1.8 + if (sum(seg$dim) > 2) .5 else 0, ck$sud), 1), .5 |
1396 |
), |
|
1397 | 33x |
mar = c( |
1398 | 33x |
if (ck$lx) 2 else 1.5, if (ck$ly) 3 else 2.4, (ck$sud && (ck$su || ck$c)) * |
1399 | 33x |
ifelse(seg$ll > 1, 2, 0) + (ck$sub && sum(seg$dim) > 2) * 1.3, 0 |
1400 |
), |
|
1401 | 33x |
mgp = c(3, .3, 0), |
1402 | 33x |
font.main = 1, |
1403 | 33x |
font.lab = 2, |
1404 | 33x |
cex.main = 1, |
1405 | 33x |
cex.lab = 1, |
1406 | 33x |
cex.axis = 1, |
1407 | 33x |
tcl = -.2, |
1408 | 33x |
pch = 19, |
1409 | 33x |
xpd = NA |
1410 |
) |
|
1411 | 33x |
if (length(pdo) != 0) { |
1412 | ! |
if (any(cpdo <- (npdo <- names(pdo)) %in% names(dop))) { |
1413 | ! |
ck$mai <- "mai" %in% npdo |
1414 | ! |
op[npdo[cpdo]] <- pdo[cpdo] |
1415 | ! |
if ("font.sub" %in% names(op)) op$font.main <- op$font.sub |
1416 | ! |
if ("cex.sub" %in% names(op)) op$cex.main <- op$cex.sub |
1417 | ! |
if ("col.sub" %in% names(op)) op$col.main <- op$col.sub |
1418 |
} |
|
1419 | ! |
pdo <- pdo[!cpdo] |
1420 |
} |
|
1421 | 33x |
if (!"horiz" %in% names(pdo) && !"ncol" %in% names(leg.args)) lega$ncol <- 1 |
1422 | 33x |
if (length(pdo) != 0) { |
1423 | ! |
if (any(cpdo <- (npdo %in% names(formals(legend)) & !npdo %in% names(leg.args)))) lega[npdo[cpdo]] <- pdo[cpdo] |
1424 | ! |
if (any(!cpdo)) { |
1425 | ! |
warning("unused argument", if (sum(!cpdo) == 1) ": " else "s: ", |
1426 | ! |
paste(names(pdo)[!cpdo], collapse = ", "), |
1427 | ! |
call. = FALSE |
1428 |
) |
|
1429 |
} |
|
1430 |
} |
|
1431 | 33x |
expand_color_code <- function(e) { |
1432 | 363x |
if (is.character(e) && all(grepl("^#[0-9a-f]{3}$", e, TRUE))) paste0(e, substring(e, 2)) else e |
1433 |
} |
|
1434 | 33x |
pdo <- lapply(pdo, expand_color_code) |
1435 | 33x |
op <- lapply(op, expand_color_code) |
1436 | 33x |
if (dark) { |
1437 | ! |
op$fg <- op$col <- op$col.axis <- op$col.main <- op$col.sub <- op$col.sub <- "white" |
1438 | ! |
if (is.null(op$bg) && par("bg") == "white") warning("foreground and background are both white") |
1439 |
} |
|
1440 | 33x |
par(op) |
1441 | 33x |
on.exit(par(dop)) |
1442 | 33x |
layout(seg$dmat, c(rep.int(seg$prat[1], seg$dim[2]), if (ck$legcol) seg$prat[if (length(seg$prat) > 1) 2 else 1])) |
1443 | 33x |
success <- FALSE |
1444 | 33x |
ck$scol <- "scols" %in% names(seg) |
1445 | 33x |
for (i in names(cdat)) { |
1446 | 53x |
tryCatch( |
1447 |
{ |
|
1448 |
# plotting |
|
1449 | 53x |
cl <- (if ("list" %in% class(cdat[[i]])) vapply(cdat[[i]], NROW, 0) else nrow(cdat[[i]])) > 0 |
1450 | 53x |
if (any(!cl)) { |
1451 | ! |
cdat[[i]] <- cdat[[i]][cl] |
1452 | ! |
if (length(cdat[[i]]) == 0) next |
1453 |
} |
|
1454 | 1x |
if (ck$scol) seg$cols <- seg$lcols <- seg$scols[[i]] |
1455 | 53x |
cl <- strsplit(i, ".^^.", fixed = TRUE)[[1]] |
1456 | 53x |
ptxt$sub <- if (is.character(sub)) { |
1457 | ! |
sub |
1458 | 53x |
} else if (ck$sub) { |
1459 | 52x |
if (seg$ll > 1 || (!missing(ndisp) && ndisp)) { |
1460 | 30x |
paste0( |
1461 | 30x |
if (seg$f1$e) { |
1462 | 30x |
paste0( |
1463 | 30x |
if (lvn || (ck$mlvn && grepl("^[0-9]", cl[1]))) paste0(ptxt$bet[1], ": "), cl[1], |
1464 | 30x |
if (seg$f2$e) paste0(", ", if (lvn || (ck$mlvn && grepl("^[0-9]", cl[2]))) paste0(ptxt$bet[2], ": "), cl[2]) |
1465 |
) |
|
1466 | 30x |
}, if ((length(names(cdat)) > 1 || !missing(ndisp)) && ndisp) paste(", n =", seg$n[i]) |
1467 |
) |
|
1468 |
} else { |
|
1469 |
"" |
|
1470 |
} |
|
1471 |
} |
|
1472 | 53x |
if (!is.null(sort) && ck$t != 2 && any(class(if (seg$by$e) cdat[[i]][[1]][, "x"] else cdat[[i]][, "x"]) %in% |
1473 | 53x |
c("factor", "character"))) { |
1474 | 1x |
nsl <- grepl("^[Ff]", as.character(sort)) |
1475 | 1x |
sdir <- grepl("^[DdTt]", as.character(sort)) |
1476 | 1x |
td <- if (seg$by$e) do.call(rbind, cdat[[i]]) else cdat[[i]] |
1477 | 1x |
td[, "x"] <- as.character(td[, "x"]) |
1478 | 1x |
cdat[[i]] <- do.call(rbind, lapply( |
1479 | 1x |
if (nsl) { |
1480 | 1x |
lvs(td[, "x"]) |
1481 |
} else { |
|
1482 | ! |
names(sort(vapply(split(td[, "y"], td[, "x"]), mean, 0, na.rm = TRUE), sdir)) |
1483 |
}, |
|
1484 | 1x |
function(l) td[td[, "x"] == l, , drop = FALSE] |
1485 |
)) |
|
1486 | 1x |
seg$x$l <- ptxt$l.x <- lvs(cdat[[i]][, "x"]) |
1487 | 1x |
cdat[[i]][, "x"] <- factor(cdat[[i]][, "x"], seg$x$l) |
1488 | ! |
if (seg$by$e) cdat[[i]] <- split(cdat[[i]], cdat[[i]][, "by"]) |
1489 |
} |
|
1490 | 53x |
if (ck$t == 1) { |
1491 |
# bar and line |
|
1492 | 20x |
flipped <- FALSE |
1493 | 20x |
if (missing(byx) && ck$mv && any(vapply(cdat[[i]], function(d) { |
1494 | ! |
any(vapply( |
1495 | ! |
split(d$y, as.character(d$x)), |
1496 | ! |
function(dl) if (length(dl) == 1) 0 else var(dl), 0 |
1497 | ! |
) == 0) |
1498 | 20x |
}, TRUE))) { |
1499 | ! |
byx <- FALSE |
1500 |
} |
|
1501 | 20x |
if (byx && lim < Inf && seg$by$e && (is.list(cdat[[i]]) && length(cdat[[i]]) > 1)) { |
1502 | 14x |
flipped <- TRUE |
1503 | 14x |
cdat[[i]] <- do.call(rbind, cdat[[i]]) |
1504 | 14x |
cdat[[i]][c("x", "by")] <- cdat[[i]][c("by", "x")] |
1505 | ! |
if (is.numeric(cdat[[i]]$x)) cdat[[i]]$x <- as.character(cdat[[i]]$x) |
1506 | 14x |
cdat[[i]] <- split(cdat[[i]], cdat[[i]]$by)[lvs(cdat[[i]]$by)] |
1507 |
} |
|
1508 | 20x |
dl <- if (cl <- "list" %in% class(cdat[[1]])) length(cdat[[i]]) else 1 |
1509 | 20x |
mot <- paste0("y~0+", paste(names(if (cl) cdat[[i]][[1]] else cdat[[i]])[c(2, cvar)], collapse = "+")) |
1510 | 20x |
m <- pe <- ne <- matrix(NA, seg$by$ll, max(c(1, length(seg$x$l))), dimnames = list(seg$by$l, seg$x$l)) |
1511 | 14x |
if (flipped) m <- pe <- ne <- t(m) |
1512 | 20x |
rn <- if (nrow(m) == 1) 1 else rownames(m) |
1513 | 20x |
cn <- if (seg$by$e && flipped) seg$by$l else colnames(m) |
1514 | 20x |
for (l in seq_len(dl)) { |
1515 | 34x |
ri <- rn[l] |
1516 | 34x |
td <- if (cl) cdat[[i]][[ri]] else cdat[[i]] |
1517 | ! |
if (is.null(td)) next |
1518 | 34x |
if (nrow(td) > 1 && length(unique(td$x)) > 1) { |
1519 | 34x |
mo <- lm(mot, data = td) |
1520 | 34x |
ccn <- sub("^x", "", names(mo$coef)) |
1521 | 34x |
sus <- which(ccn %in% cn) |
1522 | 34x |
su <- ccn[sus] |
1523 | 34x |
m[ri, su] <- mo$coef[sus] |
1524 | 34x |
if (nrow(td) > 2 && anyDuplicated(td$x)) { |
1525 | 33x |
if (ck$e) { |
1526 | 33x |
e <- suppressWarnings(summary(update(mo, ~ . - 0))$coef[sus, 2]) |
1527 | 33x |
e <- e[c(2, seq_along(e)[-1])] |
1528 | 33x |
pe[ri, su] <- m[l, su] + e |
1529 | 33x |
ne[ri, su] <- m[l, su] - e |
1530 |
} else { |
|
1531 | ! |
e <- confint(mo)[sus, ] |
1532 | ! |
pe[ri, su] <- e[, 2] |
1533 | ! |
ne[ri, su] <- e[, 1] |
1534 |
} |
|
1535 |
} |
|
1536 |
} else { |
|
1537 | ! |
if (nrow(td) == 0) next |
1538 | ! |
mo <- lapply(split(td, td["x"]), function(s) if (nrow(s) == 0) NA else mean(s[is.finite(s[, "y"]), "y"])) |
1539 | ! |
m[ri, ] <- unlist(mo[colnames(m)]) |
1540 |
} |
|
1541 |
} |
|
1542 | 20x |
re <- if (flipped) list(m = t(m), ne = t(ne), pe = t(pe)) else list(m = m, ne = ne, pe = pe) |
1543 | 20x |
if (ck$ltm && all(apply(is.na(re$m), 2, any))) { |
1544 | ! |
drop["x"] <- FALSE |
1545 | ! |
line.type <- "b" |
1546 |
} |
|
1547 | 20x |
dx <- !apply(is.na(re$m), 2, all) |
1548 | 20x |
if (drop["x"]) re <- lapply(re, function(s) s[, dx, drop = FALSE]) |
1549 | 20x |
m <- re$m |
1550 | 20x |
ne <- re$ne |
1551 | 20x |
pe <- re$pe |
1552 | ! |
if (all(mna <- is.na(m))) next |
1553 | 20x |
re <- lapply(re, function(s) { |
1554 | 60x |
na <- is.na(s) |
1555 | 60x |
s[na] <- m[na] |
1556 | 60x |
s[!mna] |
1557 |
}) |
|
1558 | 19x |
if (ck$el) ck$el <- all(round(re$m - re$ne, 8) != 0) |
1559 | 20x |
lb <- min(re$m) - if (!ck$el) round((max(re$m) - min(re$m)) / 10) else max(abs(re$m - re$ne)) * 1.2 |
1560 | 2x |
if (ck$b && !ck$el) lb <- lb - (max(re$m) - min(re$m)) * .1 |
1561 | 20x |
dm <- dim(m) |
1562 | 20x |
ylim <- if (missing(myl)) c(lb, max(re$m) + if (ck$el) max(abs(re$m - re$pe)) else 0) else myl |
1563 | 20x |
if (ck$leg == 2 && ck$lp) { |
1564 | 3x |
if (!seg$by$e && ncol(m) == 2) { |
1565 | 1x |
lega$x <- "top" |
1566 |
} else { |
|
1567 | 2x |
lega$x <- apply(m, 2, function(r) { |
1568 | 4x |
na <- !is.na(r) |
1569 | ! |
if (any(na)) max(r[na]) else -Inf |
1570 |
}) |
|
1571 | 2x |
stw <- ncol(m) |
1572 | 2x |
oyl <- if (stw %% 2) 3 else 2 |
1573 | 2x |
lega$x <- c("topleft", "top", "topright")[if (oyl == 2) -2 else 1:3][which.min(vapply(split(lega$x, rep(seq_len(oyl), |
1574 | 2x |
each = stw / oyl |
1575 | 2x |
)[seq_len(stw)]), mean, 0, na.rm = TRUE))] |
1576 | ! |
if (is.na(lega$x)) lega$x <- "topright" |
1577 |
} |
|
1578 |
} |
|
1579 | ! |
if (any(is.na(ylim))) next |
1580 | 20x |
oyl <- axTicks(2, c(ylim[1], ylim[2], par("yaxp")[3])) |
1581 | 20x |
rn <- if (nrow(m) == 1) colnames(m) else rownames(m) |
1582 | 20x |
colnames(m) <- if (drop["x"] && sum(dx) == ncol(m)) ptxt$l.x[dx] else ptxt$l.x |
1583 | 20x |
stw <- strwidth(colnames(m), "i") |
1584 | 20x |
if ((missing(xlas) || xlas > 1) && sum(stw) > par("fin")[1] - sum(par("omi")[c(2, 4)]) - dm[2] * .1 && par("fin")[1] > 2.5) { |
1585 | ! |
xlas <- 3 |
1586 | ! |
if (missing(mxl)) mxl <- c(1, dm[2]) |
1587 | ! |
mh <- c(par("fin")[2] / 2, max(stw)) |
1588 | ! |
par(mai = if (ck$mai) op$mai else c(min(mh) + .25, par("mai")[-1])) |
1589 | ! |
if (mh[1] < mh[2] && missing(labels.trim)) { |
1590 | ! |
mh <- round(mh[1] / .1) |
1591 | ! |
n <- colnames(m) |
1592 | ! |
ln <- nchar(n) > mh |
1593 | ! |
colnames(m)[ln] <- sub("$", "...", strtrim(n[ln], mh)) |
1594 |
} |
|
1595 |
} |
|
1596 | 2x |
if (min(re$ne, na.rm = TRUE) >= 0) autori <- FALSE |
1597 | 20x |
rck <- !is.list(seg$cols) && all(rn %in% names(seg$cols)) |
1598 | ! |
if (rck && length(seg$cols) < dm[1]) seg$cols <- rep_len(seg$cols, dm[1]) |
1599 | 1x |
if (!rck && ck$ltm && !ck$el) line.type <- "b" |
1600 | 20x |
if (ck$b) { |
1601 | 7x |
if (autori) { |
1602 | 5x |
a <- if (missing(myl)) lb else myl[1] |
1603 | 5x |
a <- a * -1 |
1604 | 5x |
m <- m + a |
1605 | 5x |
ne <- ne + a |
1606 | 5x |
pe <- pe + a |
1607 | 5x |
ayl <- oyl + a |
1608 | 5x |
aj <- lapply(re, "+", a) |
1609 | 5x |
ylim <- if (missing(myl)) { |
1610 | 5x |
if (!ck$el) { |
1611 | ! |
ylim + a |
1612 |
} else { |
|
1613 | 5x |
c( |
1614 | 5x |
min(aj$m) - max(abs(aj$m - aj$ne)) * 1.2, |
1615 | 5x |
max(aj$m) + max(abs(aj$m - aj$pe)) * if (ck$leg == 2 && seg$by$ll > 1) seg$by$ll^.3 + .7 else 1.2 |
1616 |
) |
|
1617 |
} |
|
1618 |
} else { |
|
1619 | ! |
myl + a |
1620 |
} |
|
1621 |
} |
|
1622 | 4x |
if (dm[1] != 1) rownames(m) <- ptxt$l.by[rn] |
1623 | 7x |
lega[c("lwd", "lty")] <- NULL |
1624 | 7x |
lega[c("pch", "pt.cex", "x.intersp", "y.intersp", "adj")] <- list(15, 2, 1, 1.2, c(0, .35)) |
1625 | 7x |
p <- barplot(m, |
1626 | 7x |
beside = TRUE, col = if (rck) seg$cols[rn] else seg$cols, axes = FALSE, axisnames = FALSE, |
1627 | 7x |
border = NA, ylab = NA, xlab = NA, ylim = ylim, main = if (ck$sub) ptxt$sub else NA, |
1628 | 7x |
xpd = if ("xpd" %in% names(pdo)) pdo$xpd else if (autori) NA else FALSE |
1629 |
) |
|
1630 |
} else { |
|
1631 | 13x |
p <- matrix(rep.int(seq_len(dm[2]), dm[1]), nrow = dm[1], byrow = TRUE) |
1632 | 13x |
plot(NA, |
1633 | 13x |
ylim = ylim, xlim = if (missing(mxl)) c(1 - stw[1] / 3, dm[2] + stw[length(stw)] / 3) else mxl, ylab = NA, xlab = NA, |
1634 | 13x |
main = if (ck$sub) ptxt$sub else NA, axes = FALSE |
1635 |
) |
|
1636 | 13x |
for (a in if (dm[1] == 1) 1 else if (all(rn %in% names(seg$cols))) rn else seq_len(dm[1])) { |
1637 | 23x |
graphics::lines(m[a, ], col = seg$cols[[a]], lty = seg$lty[[a]], lwd = seg$lwd[[a]], type = line.type) |
1638 |
} |
|
1639 |
} |
|
1640 | ! |
if (ck$ileg) lega$legend <- rn |
1641 | 20x |
if (xaxis) axis(1, colMeans(p), colnames(m), FALSE, las = xlas, cex = par("cex.axis"), fg = par("col.axis")) |
1642 | 20x |
a2a <- list(2, las = ylas, cex = par("cex.axis"), fg = par("col.axis")) |
1643 | 20x |
if (ck$b && autori) { |
1644 | 5x |
a2a$at <- ayl |
1645 | 5x |
a2a$labels <- formatC(oyl, 2, format = "f") |
1646 |
} |
|
1647 | 20x |
if (yaxis) do.call(axis, a2a) |
1648 | 20x |
if (ck$el) { |
1649 | 18x |
te <- round(Reduce("-", list(ne, pe)), 8) |
1650 | 18x |
te[is.na(te)] <- 0 |
1651 | 18x |
te <- te == 0 |
1652 | ! |
if (any(te)) ne[te] <- pe[te] <- NA |
1653 | 18x |
arrows(p, ne, p, pe, lwd = error.lwd, col = error.color, angle = 90, code = 3, length = .05) |
1654 |
} |
|
1655 | 33x |
} else if (ck$t == 2) { |
1656 |
# density |
|
1657 | ! |
if (!is.list(density.args)) density.args <- list() |
1658 | 14x |
fdan <- names(formals(stats::density.default)) |
1659 | 14x |
dan <- names(density.args) |
1660 | 14x |
if (any(mdan <- !dan %in% fdan)) { |
1661 | ! |
warning(paste("unused density argument(s):", paste(dan[mdan], collapse = ", ")), call. = FALSE) |
1662 | ! |
density.args <- density.args[!mdan] |
1663 |
} |
|
1664 | 14x |
density.args$give.Rkern <- FALSE |
1665 | 14x |
if (!missing(mxl)) { |
1666 | ! |
if (!"from" %in% dan) density.args$from <- mxl[1] |
1667 | ! |
if (!"to" %in% dan) density.args$to <- mxl[2] |
1668 |
} |
|
1669 | 10x |
if (!"n" %in% dan) density.args$n <- 512 |
1670 | 14x |
n <- density.args$n |
1671 | 14x |
m <- list() |
1672 | 14x |
dl <- if (cl <- "list" %in% class(cdat[[i]])) length(cdat[[i]]) else 1 |
1673 | 14x |
rnl <- logical(dl) |
1674 | 14x |
rn <- if (is.data.frame(cdat[[i]])) names(ptxt$l.by) else names(cdat[[i]]) |
1675 | 14x |
dx <- dy <- numeric(n * seg$by$ll) |
1676 | 14x |
for (l in seq_len(dl)) { |
1677 | 22x |
tryCatch( |
1678 |
{ |
|
1679 | 22x |
density.args$x <- (if (cl) cdat[[i]][[l]] else cdat[[i]])[, "y"] |
1680 | 22x |
m[[l]] <- do.call(stats::density, density.args) |
1681 | 22x |
dx[seq_len(n) + n * (l - 1)] <- m[[l]]$x |
1682 | 22x |
dy[seq_len(n) + n * (l - 1)] <- m[[l]]$y |
1683 | 22x |
rnl[l] <- TRUE |
1684 |
}, |
|
1685 | 22x |
error = function(e) NULL |
1686 |
) |
|
1687 |
} |
|
1688 | 14x |
names(m) <- rn <- rn[rnl] |
1689 | 14x |
if (seg$by$ll > 1 || (ck$polyo && ck$poly)) { |
1690 | 8x |
plot(NA, |
1691 | 8x |
xlim = if (missing(mxl)) range(c(dx, dx)) else mxl, ylim = if (missing(myl)) c(0, max(dy)) else myl, |
1692 | 8x |
main = if (ck$sub) ptxt$sub else NA, ylab = NA, xlab = NA, axes = FALSE, xpd = if ("xpd" %in% names(pdo)) pdo$xpd else FALSE |
1693 |
) |
|
1694 | 8x |
for (l in if (seg$by$ll > 1 && all(rn %in% names(seg$cols))) rn else seq_along(m)) { |
1695 | 16x |
if (ck$poly) polygon(m[[l]], col = adjustcolor(seg$cols[[l]], density.opacity), border = NA) |
1696 | 16x |
if (!is.logical(lines) || lines) graphics::lines(m[[l]], col = seg$cols[[l]], lwd = seg$lwd[[l]], lty = seg$lty[[l]]) |
1697 |
} |
|
1698 | ! |
if (ck$ileg) lega$legend <- rn |
1699 |
} else { |
|
1700 | 6x |
col <- if (length(seg$lcols) > 2) "#555555" else seg$lcols[1] |
1701 | 6x |
if (ck$leg) { |
1702 | ! |
lega[c("lwd", "lty")] <- NULL |
1703 | ! |
lega[c("pch", "pt.cex", "x.intersp", "y.intersp", "adj")] <- list(15, 2, 1, 1.2, c(0, .35)) |
1704 |
} |
|
1705 | 6x |
y <- (if (cl) cdat[[i]][[1]] else cdat[[i]])[, "y"] |
1706 | 6x |
hp <- hist(y, breaks, plot = FALSE) |
1707 | 6x |
if (ck$cb && length(seg$cols) == nr) { |
1708 | ! |
nb <- length(hp$counts) |
1709 | ! |
seg$cols <- vapply(split(seg$cols[order(y)], sort(rep_len(seq_len(nb), nr))), csf, "") |
1710 | ! |
if (!ckn) seg$cols <- adjustcolor(seg$cols, 1, color.offset, color.offset, color.offset) |
1711 | 6x |
} else if (!color.lock && (ck$co || length(seg$cols) == 1)) { |
1712 | 6x |
seg$cols[2] <- adjustcolor(seg$cols[1], 1, color.offset, color.offset, color.offset) |
1713 |
} |
|
1714 | 6x |
hist( |
1715 | 6x |
y, breaks, FALSE, |
1716 | 6x |
border = if ("border" %in% names(pdo)) pdo$border else par("bg"), main = if (ck$sub) ptxt$sub else NA, |
1717 | 6x |
ylab = NA, xlab = NA, axes = FALSE, col = if (length(seg$cols) == 2) seg$cols[2] else seg$cols, |
1718 | 6x |
xlim = if (missing(mxl)) range(hp$breaks) else mxl, |
1719 | 6x |
ylim = if (missing(myl)) c(0, max(c(dy, hp$density))) else myl |
1720 |
) |
|
1721 | 6x |
if (!is.logical(lines) || lines) { |
1722 | 6x |
graphics::lines(m[[1]], col = col, lwd = lwd, xpd = if ("xpd" %in% names(pdo)) { |
1723 | ! |
pdo$xpd |
1724 |
} else { |
|
1725 | 6x |
FALSE |
1726 |
}) |
|
1727 |
} |
|
1728 |
} |
|
1729 | 2x |
if (ck$lp && ck$leg == 2) lega$x <- if (mean(dx) > mean(range(dx))) "topleft" else "topright" |
1730 | 14x |
if (xaxis) axis(1, las = xlas, cex = par("cex.axis"), fg = par("col.axis")) |
1731 | 14x |
if (yaxis) axis(2, las = ylas, cex = par("cex.axis"), fg = par("col.axis")) |
1732 |
} else { |
|
1733 |
# scatter |
|
1734 | 19x |
dl <- if (cl <- "list" %in% class(cdat[[i]])) length(cdat[[i]]) else 1 |
1735 | 19x |
rn <- if (is.data.frame(cdat[[i]])) seg$by$l else names(cdat[[i]]) |
1736 | 19x |
td <- if (cl) do.call(rbind, cdat[[i]]) else cdat[[i]] |
1737 | 19x |
cx <- td[, "x"] |
1738 | 19x |
cy <- td[, "y"] |
1739 | 19x |
xch <- if (is.numeric(cx) || is.logical(cx)) cx else as.numeric(factor(cx)) |
1740 | 19x |
a2a <- list(cex = par("cex.axis"), fg = par("col.axis")) |
1741 | 19x |
if (length(ptxt$l.x) != 0) { |
1742 | ! |
a2a$tick <- FALSE |
1743 | ! |
a2a$at <- seq_along(ptxt$l.x) |
1744 | ! |
a2a$labels <- ptxt$l.x |
1745 | ! |
if (missing(xlas) || xlas > 1) { |
1746 | ! |
xlas <- 3 |
1747 | ! |
par(mai = if (ck$mai) { |
1748 | ! |
op$mai |
1749 |
} else { |
|
1750 | ! |
c( |
1751 | ! |
min(c(par("fin")[2] / 2, max(strwidth(ptxt$l.x, "i")))) + .25, par("mai")[-1] |
1752 |
) |
|
1753 |
}) |
|
1754 |
} |
|
1755 |
} |
|
1756 | 19x |
plot( |
1757 | 19x |
NA, |
1758 | 19x |
xlim = if (missing(mxl)) range(xch, na.rm = TRUE) else mxl, |
1759 | 19x |
ylim = if (missing(myl)) { |
1760 | 19x |
c(min(cy, na.rm = TRUE), max(cy, na.rm = TRUE) + max(cy, na.rm = TRUE) * |
1761 | 19x |
if (ck$leg == 1 && seg$by$ll < lim) seg$by$ll / 20 else 0) |
1762 |
} else { |
|
1763 | ! |
myl |
1764 |
}, |
|
1765 | 19x |
main = if (ck$sub) ptxt$sub else NA, ylab = NA, xlab = NA, axes = FALSE |
1766 |
) |
|
1767 | 19x |
if (yaxis) { |
1768 | 19x |
do.call(axis, c(list(2, las = ylas), c( |
1769 | 19x |
a2a[c("cex", "fg")], |
1770 | 19x |
if ("yax" %in% names(txt)) list(at = seq_along(txt$yax), labels = txt$yax, tick = FALSE) |
1771 |
))) |
|
1772 |
} |
|
1773 | 19x |
if (xaxis) do.call(axis, c(list(1, las = xlas), a2a)) |
1774 | 19x |
if (ck$leg > 1) { |
1775 | 5x |
up <- xch[cy >= quantile(cy, na.rm = TRUE)[4]] |
1776 | 5x |
mr <- quantile(xch, na.rm = TRUE) |
1777 | 5x |
if (ck$lp) lega$x <- if (sum(up < mr[2]) > sum(up > mr[4])) "topright" else "topleft" |
1778 | ! |
if (ck$ileg) lega$legend <- rn |
1779 |
} |
|
1780 | 19x |
padj <- if (color.lock || ck$cb || (missing(color.offset) && !ck$ltck)) 1 else color.offset |
1781 | 19x |
ckcn <- all(rn %in% names(seg$cols)) |
1782 | 19x |
ckln <- all(rn %in% names(seg$lcols)) |
1783 | 19x |
if (!ckln) { |
1784 | 4x |
if (ckcn) { |
1785 | ! |
seg$lcols <- seg$cols |
1786 |
} else { |
|
1787 | 4x |
seg$lcols[] <- if (opacity != 1) { |
1788 | ! |
adjustcolor("#555555", opacity) |
1789 |
} else { |
|
1790 | 4x |
"#555555" |
1791 |
} |
|
1792 |
} |
|
1793 |
} |
|
1794 | 19x |
lwd <- rep_len(if (is.numeric(lwd)) lwd else 2, dl) |
1795 | 19x |
for (l in if (ckcn) rn else seq_len(dl)) { |
1796 | 34x |
td <- if (cl) cdat[[i]][[l]] else cdat[[i]] |
1797 | ! |
if (is.null(td)) next |
1798 | 34x |
x <- td[, "x"] |
1799 | 34x |
y <- td[, "y"] |
1800 | 34x |
col <- if (ckcn) seg$cols[[l]] else seg$cols |
1801 | 32x |
if (opacity != 1 || padj != 1) col <- adjustcolor(col, opacity, padj, padj, padj) |
1802 | 34x |
if (points && points.first) points(x, y, col = col, cex = cex["points"]) |
1803 | 34x |
if (ck$ltck) { |
1804 | 34x |
lt <- if (ck$ltco == "pr" && length(unique(y)) != 2) "li" else ck$ltco |
1805 | 34x |
fit <- if (lt == "e") { |
1806 | ! |
y |
1807 |
} else { |
|
1808 | 34x |
tryCatch( |
1809 |
{ |
|
1810 | 34x |
if (ck$c) { |
1811 | ! |
lm(y ~ x + as.matrix(td[, cvar, drop = FALSE]))$fitted |
1812 | 34x |
} else if (lt == "pr") { |
1813 | ! |
yr <- range(y) |
1814 | ! |
y <- factor(y, labels = c(0, 1)) |
1815 | ! |
fit <- predict(glm(y ~ x, binomial)) |
1816 | ! |
fit <- exp(fit) / (1 + exp(fit)) |
1817 | ! |
if (!all(yr == c(0, 1))) fit <- (fit - mean(fit)) * (yr[2] - yr[1]) + mean(yr) |
1818 | ! |
if (max(fit) > yr[2]) fit - (max(fit) - yr[2]) else fit |
1819 |
} else { |
|
1820 | 34x |
predict(switch(lt, |
1821 | 34x |
li = lm, |
1822 | 34x |
lo = loess, |
1823 | 34x |
sm = smooth.spline |
1824 | 34x |
)(y ~ x)) |
1825 |
} |
|
1826 |
}, |
|
1827 | 34x |
error = function(e) { |
1828 | ! |
warning("error estimating line: ", e$message, call. = FALSE) |
1829 | ! |
NULL |
1830 |
} |
|
1831 |
) |
|
1832 |
} |
|
1833 | 34x |
if (!is.null(fit)) { |
1834 | 34x |
if (lt == "e") { |
1835 | ! |
xo <- x |
1836 | 34x |
} else if (lt == "sm") { |
1837 | ! |
xo <- fit$x |
1838 | ! |
fit <- fit$y |
1839 |
} else { |
|
1840 | 34x |
or <- order(x) |
1841 | 34x |
xo <- x[or] |
1842 | 34x |
fit <- fit[or] |
1843 |
} |
|
1844 | 34x |
graphics::lines(xo, fit, col = seg$lcols[[l]], lty = seg$lty[[l]], lwd = seg$lwd[[l]]) |
1845 |
} |
|
1846 |
} |
|
1847 | ! |
if (points && !points.first) points(x, y, col = col, cex = cex["points"]) |
1848 |
} |
|
1849 |
} |
|
1850 | 53x |
if (ck$leg == 2) { |
1851 | 10x |
if (ck$lpm) { |
1852 | ! |
message("click to place the legend") |
1853 | ! |
lega[c("x", "y")] <- locator(1) |
1854 | ! |
if (is.null(lega$x)) { |
1855 | ! |
warning("placing the legend with locator(1) failed") |
1856 | ! |
lega$y <- NULL |
1857 | ! |
lega$x <- if (seg$ll > 1) "topright" else "right" |
1858 |
} |
|
1859 |
} |
|
1860 | 10x |
tf <- par("font") |
1861 | 10x |
par(font = font["leg.title"]) |
1862 | 10x |
do.call(legend, lega) |
1863 | 10x |
par(font = tf) |
1864 |
} |
|
1865 | 53x |
success <- TRUE |
1866 | 53x |
if (!missing(add)) { |
1867 | 1x |
add_attempt <- tryCatch(eval(substitute(add), fdat), error = function(e) list(failed = TRUE)) |
1868 | 1x |
if (is.list(add_attempt) && isTRUE(add_attempt$failed)) { |
1869 | ! |
tryCatch( |
1870 | ! |
eval(substitute(add), parent.frame(1)), |
1871 | ! |
error = function(e) warning("error from add: ", e$message, call. = FALSE) |
1872 |
) |
|
1873 |
} |
|
1874 |
} |
|
1875 |
}, |
|
1876 | 53x |
error = function(e) { |
1877 | ! |
dev.off() |
1878 | ! |
stop(e) |
1879 |
} |
|
1880 |
) |
|
1881 |
} |
|
1882 | ! |
if (!success) stop("failed to make any plots with the current input", call. = FALSE) |
1883 | 33x |
if (ck$leg == 1) { |
1884 | 10x |
if (all(par("mfg")[1:2] != 0)) { |
1885 | 10x |
plot.new() |
1886 | 1x |
if (ck$b) lega[c("pch", "pt.cex", "x.intersp", "y.intersp", "adj")] <- list(15, 2, 1, 1.2, c(0, .35)) |
1887 | 10x |
if (ck$lpm) { |
1888 | ! |
message("click to place the legend") |
1889 | ! |
lega[c("x", "y")] <- locator(1) |
1890 | ! |
if (is.null(lega$x)) { |
1891 | ! |
warning("placing the legend with locator(1) failed") |
1892 | ! |
lega$y <- NULL |
1893 | ! |
lega$x <- if (seg$ll > 1) "topright" else "right" |
1894 |
} |
|
1895 |
} |
|
1896 | 10x |
tf <- par("font") |
1897 | 10x |
par(font = font["leg.title"]) |
1898 | 10x |
do.call(legend, lega) |
1899 | 10x |
par(font = tf) |
1900 |
} else { |
|
1901 | ! |
warning("legend positioning failed", call. = FALSE) |
1902 |
} |
|
1903 |
} |
|
1904 | 33x |
if (ck$sud && any(ck$su, ck$c, is.character(sud))) { |
1905 | ! |
mtext( |
1906 | ! |
if (is.character(sud)) { |
1907 | ! |
sud |
1908 |
} else { |
|
1909 | ! |
gsub(", (?=[A-z0-9 ]+$)", ifelse(length(ptxt$cov) > 2, ", & ", " & "), gsub("^ | $", "", paste0(if (ck$su) { |
1910 | ! |
paste("Subset:", paste0(txt$su[1], if (length(txt$su) != 1) "...")) |
1911 | ! |
}, if (ck$su && ck$c) ", ", if (ck$c) { |
1912 | ! |
paste(if (ck$t == 1) "Covariates:" else "Line adjustment:", paste(ptxt$cov, collapse = ", ")) |
1913 | ! |
})), TRUE, TRUE) |
1914 |
}, |
|
1915 | ! |
3, 0, TRUE, |
1916 | ! |
cex = cex["sud"], font = font["sud"] |
1917 |
) |
|
1918 |
} |
|
1919 | 33x |
mtext(main, 3, if (ck$sud) 1.5 else .5, TRUE, cex = cex["title"], font = font["title"]) |
1920 | 33x |
mtext(ylab, 2, -.2, TRUE, cex = par("cex.lab"), font = par("font.lab")) |
1921 | 33x |
mtext(xlab, 1, 0, TRUE, cex = par("cex.lab"), font = par("font.lab")) |
1922 | 22x |
if (is.character(note)) mtext(note, 1, ck$lx, TRUE, adj = if (ck$ly) 0 else .01, font = font["note"], cex = cex["note"]) |
1923 | 33x |
if (save || (missing(save) && any(!missing(format), !missing(file.name), !missing(dims)))) { |
1924 | 1x |
tryCatch( |
1925 |
{ |
|
1926 | 1x |
if (is.character(format) || is.name(format)) { |
1927 | 1x |
t <- as.character(format) |
1928 | 1x |
format <- eval(parse(text = t)) |
1929 |
} else { |
|
1930 | ! |
t <- deparse(substitute(format)) |
1931 |
} |
|
1932 | 1x |
if (is.function(format)) t <- sub("^[^:]*::", "", t) |
1933 | 1x |
tt <- if (any(grepl("cairo", t, TRUE))) { |
1934 | ! |
paste0(".", tolower(strsplit(t, "_|Cairo")[[1]][2])) |
1935 | 1x |
} else if (t == "postscript") ".ps" else paste0(".", t) |
1936 | ! |
if (missing(dims) && grepl("jpeg|png|tiff|bmp|bit", t, TRUE)) dims <- dev.size(units = "px") |
1937 | 1x |
fn <- paste0(if (main == "" || !missing(file.name)) { |
1938 | 1x |
sub("\\.[^.]+$", "", file.name) |
1939 |
} else { |
|
1940 | ! |
gsub("\\s+", "_", gsub("^ +| +$| ", "", main)) |
1941 | 1x |
}, tt) |
1942 | 1x |
dev.copy(format, fn, width = dims[1], height = dims[2]) |
1943 | 1x |
dev.off() |
1944 | ! |
if (file.exists(fn)) message("image saved: ", fn) else warning("failed to save image") |
1945 |
}, |
|
1946 | 1x |
error = function(e) warning("unable to save image: ", e$message, call. = FALSE) |
1947 |
) |
|
1948 |
} |
|
1949 | 33x |
invisible(list(dat = dat, cdat = cdat, txt = txt, ptxt = ptxt, seg = seg, ck = ck, lega = lega, fmod = fmod)) |
1950 |
} |
1 |
#' splot color average |
|
2 |
#' |
|
3 |
#' Calculates the average of a set of colors, returning its Hex code. |
|
4 |
#' @param ... color codes or names as characters. |
|
5 |
#' @return The calculated color code. |
|
6 |
#' @examples |
|
7 |
#' # average of red and blue |
|
8 |
#' plot( |
|
9 |
#' 1:3, numeric(3), |
|
10 |
#' pch = 15, cex = 20, xlim = c(0, 4), |
|
11 |
#' col = c("red", splot.colormean("red", "blue"), "blue") |
|
12 |
#' ) |
|
13 |
#' |
|
14 |
#' # average of a set |
|
15 |
#' x <- rnorm(100) |
|
16 |
#' set <- splot.color(x, method = "related") |
|
17 |
#' splot( |
|
18 |
#' x ~ rnorm(100), |
|
19 |
#' colors = set, |
|
20 |
#' add = points(0, 0, pch = 15, cex = 10, col = splot.colormean(set)) |
|
21 |
#' ) |
|
22 |
#' @export |
|
23 | ||
24 |
splot.colormean <- function(...) { |
|
25 | 1x |
hdc <- c(0:9, LETTERS[1:6]) |
26 | 1x |
hdc <- outer(hdc, hdc, paste0) |
27 | 1x |
s <- seq_len(16) |
28 | 1x |
ccs <- adjustcolor(unlist(list(...), use.names = FALSE)) |
29 | 1x |
paste(c("#", apply(Reduce("+", lapply(ccs, function(cc) { |
30 | 2x |
cc <- strsplit(cc, "")[[1]][2:7] |
31 | 2x |
cc <- paste0(cc[c(TRUE, FALSE)], cc[c(FALSE, TRUE)]) |
32 | 2x |
vapply(cc, function(c) which(hdc == c, TRUE), numeric(2)) |
33 | 1x |
})) / length(ccs), 2, function(cc) { |
34 | 3x |
hdc[which.min(abs(s - cc[1])), which.min(abs(s - cc[2]))] |
35 | 1x |
})), collapse = "") |
36 |
} |
1 |
#' splot color contrast ratio |
|
2 |
#' |
|
3 |
#' Calculates the color contrast ratio between two sets of colors, as defined by the |
|
4 |
#' \href{https://www.w3.org/TR/WCAG20/#contrast-ratiodef}{World Wide Web Consortium}. |
|
5 |
#' @param color,background A character vector of colors, or a matrix with RGB values across rows. |
|
6 |
#' @param plot Logical; if \code{FALSE}, will not plot the results. |
|
7 |
#' @return A list with entries for \code{ratio} (contrast ratio), |
|
8 |
#' \code{AA} (ratios of at least 4.5), and \code{AAA} (ratios of at least 7). |
|
9 |
#' Each entry contains a matrix with colors in rows and backgrounds in columns. |
|
10 |
#' @examples |
|
11 |
#' # check colors against dark and light backgrounds |
|
12 |
#' splot.colorcontrast(c("#FF0000", "#00FF00", "#0000FF"), c("black", "white")) |
|
13 |
#' |
|
14 |
#' # check contrast between colors |
|
15 |
#' splot.colorcontrast(c("red", "green", "blue"), c("red", "green", "blue")) |
|
16 |
#' |
|
17 |
#' # see when shades of a color cross thresholds on a given background |
|
18 |
#' splot.colorcontrast(splot.color(1:10, seed = "#a388b5"), "#101010") |
|
19 |
#' @export |
|
20 | ||
21 |
splot.colorcontrast <- function(color, background = "#ffffff", plot = TRUE) { |
|
22 | 1x |
oc <- color |
23 | 1x |
ob <- background |
24 | 1x |
adj <- c(0.2126, 0.7152, 0.0722) |
25 | 1x |
if (is.character(color)) color <- col2rgb(color) |
26 | ! |
if (is.null(dim(color))) color <- matrix(color, 3) |
27 | 1x |
if (is.character(background)) background <- col2rgb(background) |
28 | ! |
if (is.null(dim(background))) background <- matrix(background, 3) |
29 | 1x |
color <- color / 255 |
30 | 1x |
su <- color <= .03928 |
31 | ! |
if (any(su)) color[su] <- color[su] / 12.92 |
32 | 1x |
color[!su] <- ((color[!su] + .055) / 1.055)^2.4 |
33 | 1x |
color <- colSums(color * adj) |
34 | 1x |
background <- background / 255 |
35 | 1x |
su <- background <= .03928 |
36 | ! |
if (any(su)) background[su] <- background[su] / 12.92 |
37 | 1x |
background[!su] <- ((background[!su] + .055) / 1.055)^2.4 |
38 | 1x |
background <- colSums(background * adj) |
39 | 1x |
r <- vapply(background, function(bg) { |
40 | 1x |
su <- bg > color |
41 | 1x |
color[su] <- (bg + .05) / (color[su] + .05) |
42 | 1x |
color[!su] <- (color[!su] + .05) / (bg + .05) |
43 | 1x |
color |
44 | 1x |
}, color) |
45 | 1x |
if (is.null(dimnames(r))) r <- matrix(r, length(color)) |
46 | 1x |
rownames(r) <- if (is.character(oc)) oc else paste0("color_", seq_along(color)) |
47 | 1x |
colnames(r) <- if (is.character(ob)) ob else paste0("background_", seq_along(background)) |
48 | 1x |
if (plot) { |
49 | 1x |
data <- data.frame( |
50 | 1x |
Contrast = as.numeric(r), |
51 | 1x |
Background = rep(colnames(r), each = nrow(r)), |
52 | 1x |
Color = rep(rownames(r), ncol(r)) |
53 |
) |
|
54 | 1x |
splot( |
55 | 1x |
Contrast ~ Color, data, |
56 | 1x |
between = "Background", |
57 | 1x |
type = "bar", title = FALSE, colors = data$Color, ndisp = FALSE, sort = FALSE, |
58 | 1x |
add = { |
59 | 1x |
abline(h = 4.5, col = "#a52600", xpd = FALSE) |
60 | 1x |
abline(h = 7, col = "#0050a5", xpd = FALSE, lty = 2) |
61 |
}, |
|
62 | 1x |
note = "The solid red line is the AA threshold, and the dashed blue line is the AAA threshold." |
63 |
) |
|
64 |
} |
|
65 | 1x |
list(ratio = r, AA = r >= 4.5, AAA = r >= 7) |
66 |
} |
1 |
#' splot benchmarker |
|
2 |
#' |
|
3 |
#' Time one or more expressions over several iteration, then plot the distributions of their times. |
|
4 |
#' @param ... accepts any number of expressions to be timed. See examples. |
|
5 |
#' @param runs the number of overall iterations. Increase to stabilize estimates. |
|
6 |
#' @param runsize the number of times each expression is evaluated within each run. Increase to |
|
7 |
#' differentiate estimates (particularly for very fast operations). |
|
8 |
#' @param cleanup logical; if \code{TRUE}, garbage collection will be performed before each run. |
|
9 |
#' Garbage collection greatly increases run time, but may result in more stable timings. |
|
10 |
#' @param print.names logical; if \code{FALSE}, the entered expressions will be included in the plot |
|
11 |
#' as legend names. Otherwise, (and if the number of expressions is over 5 or the length of any |
|
12 |
#' expression is over 50 characters) expressions are replaced with numbers corresponding to their |
|
13 |
#' entered position. |
|
14 |
#' @param limit.outliers logical; if \code{TRUE} (default), times over an upper bound for the given |
|
15 |
#' expression will be set to that upper bound, removing aberrant extremes. |
|
16 |
#' @param check_output logical; if \code{TRUE}, the output of each expression is checked with |
|
17 |
#' \code{\link[base]{all.equal}} against that of the first. A warning indicates if any are not |
|
18 |
#' equal, and results are invisibly returned. |
|
19 |
#' @param check_args a list of arguments to be passed to \code{\link[base]{all.equal}}, if |
|
20 |
#' \code{check_output} is \code{TRUE}. |
|
21 |
#' @param options a list of options to pass on to splot. |
|
22 |
#' @return A list: |
|
23 |
#' \tabular{ll}{ |
|
24 |
#' plot \tab splot output\cr |
|
25 |
#' checks \tab a list of result from all.equal, if \code{check_output} was \code{TRUE}\cr |
|
26 |
#' expressions \tab a list of the entered expressions \cr |
|
27 |
#' summary \tab a matrix of the printed results \cr |
|
28 |
#' } |
|
29 |
#' @examples |
|
30 |
#' # increase the number of runs for more stable estimates |
|
31 |
#' |
|
32 |
#' # compare ways of looping through a vector |
|
33 |
#' splot.bench( |
|
34 |
#' sapply(1:100, "*", 10), |
|
35 |
#' mapply("*", 1:100, 10), |
|
36 |
#' vapply(1:100, "*", 0, 10), |
|
37 |
#' unlist(lapply(1:100, "*", 10)), |
|
38 |
#' runs = 20, runsize = 200 |
|
39 |
#' ) |
|
40 |
#' |
|
41 |
#' # compare ways of setting all but the maximum value of each row in a matrix to 0 |
|
42 |
#' \donttest{ |
|
43 |
#' |
|
44 |
#' mat <- matrix(c(rep(1, 4), rep(0, 8)), 4, 3) |
|
45 |
#' splot.bench( |
|
46 |
#' t(vapply(seq_len(4), function(r) { |
|
47 |
#' mat[r, mat[r, ] < max(mat[r, ])] <- 0 |
|
48 |
#' mat[r, ] |
|
49 |
#' }, numeric(ncol(mat)))), |
|
50 |
#' do.call(rbind, lapply(seq_len(4), function(r) { |
|
51 |
#' mat[r, mat[r, ] < max(mat[r, ])] <- 0 |
|
52 |
#' mat[r, ] |
|
53 |
#' })), |
|
54 |
#' do.call(rbind, lapply(seq_len(4), function(r) { |
|
55 |
#' nr <- mat[r, ] |
|
56 |
#' nr[nr < max(nr)] <- 0 |
|
57 |
#' nr |
|
58 |
#' })), |
|
59 |
#' { |
|
60 |
#' nm <- mat |
|
61 |
#' for (r in seq_len(4)) { |
|
62 |
#' nr <- nm[r, ] |
|
63 |
#' nm[r, nr < max(nr)] <- 0 |
|
64 |
#' } |
|
65 |
#' nm |
|
66 |
#' }, |
|
67 |
#' { |
|
68 |
#' nm <- mat |
|
69 |
#' for (r in seq_len(4)) nm[r, nm[r, ] < max(nm[r, ])] <- 0 |
|
70 |
#' nm |
|
71 |
#' }, |
|
72 |
#' { |
|
73 |
#' nm <- matrix(0, dim(mat)[1], dim(mat)[2]) |
|
74 |
#' for (r in seq_len(4)) { |
|
75 |
#' m <- which.max(mat[r, ]) |
|
76 |
#' nm[r, m] <- mat[r, m] |
|
77 |
#' } |
|
78 |
#' nm |
|
79 |
#' }, |
|
80 |
#' { |
|
81 |
#' ck <- do.call(rbind, lapply(seq_len(4), function(r) { |
|
82 |
#' nr <- mat[r, ] |
|
83 |
#' nr < max(nr) |
|
84 |
#' })) |
|
85 |
#' nm <- mat |
|
86 |
#' nm[ck] <- 0 |
|
87 |
#' nm |
|
88 |
#' }, |
|
89 |
#' t(apply(mat, 1, function(r) { |
|
90 |
#' r[r < max(r)] <- 0 |
|
91 |
#' r |
|
92 |
#' })), |
|
93 |
#' runs = 50, |
|
94 |
#' runsize = 200 |
|
95 |
#' ) |
|
96 |
#' } |
|
97 |
#' @export |
|
98 | ||
99 |
splot.bench <- function( |
|
100 |
..., runs = 20, runsize = 200, cleanup = FALSE, print.names = FALSE, |
|
101 |
limit.outliers = TRUE, check_output = TRUE, check_args = list(), options = list()) { |
|
102 | 1x |
e <- sapply(as.character(substitute(list(...)))[-1], function(t) parse(text = t)) |
103 | 1x |
e <- e[!duplicated(names(e))] |
104 | 1x |
es <- length(e) |
105 | ! |
if (!es) stop("no expressions found", call. = FALSE) |
106 | 1x |
ne <- names(e) |
107 | 1x |
seconds <- matrix(NA, runs, es, dimnames = list(NULL, ne)) |
108 | 1x |
rs <- seq_len(runsize) |
109 | 1x |
ops <- tryCatch( |
110 | 1x |
lapply(e, eval, parent.frame(3)), |
111 | 1x |
error = function(e) stop("one of your expressions breaks:\n", e, call. = FALSE) |
112 |
) |
|
113 | 1x |
checks <- if (check_output && length(e) != 1) { |
114 | 1x |
if (!"check.attributes" %in% names(check_args)) check_args$check.attributes <- FALSE |
115 | 1x |
if (!"check.names" %in% names(check_args)) check_args$check.names <- FALSE |
116 | 1x |
lapply(ops[-1], function(r) { |
117 | 1x |
tryCatch( |
118 | 1x |
do.call(all.equal, c(list(r), list(ops[[1]]), check_args)), |
119 | 1x |
error = function(e) FALSE |
120 |
) |
|
121 |
}) |
|
122 |
} else { |
|
123 | ! |
NULL |
124 |
} |
|
125 | 1x |
if (!is.null(checks) && !all(vapply(checks, isTRUE, TRUE))) { |
126 | ! |
warning( |
127 | ! |
"some of your expressions do not seem to have similar results as the first;", |
128 | ! |
" see the `checks` output.", |
129 | ! |
call. = FALSE |
130 |
) |
|
131 |
} |
|
132 | 1x |
ost <- proc.time()[3] |
133 | 1x |
cat("benchmarking", es, "expression(s) in chunks of", runsize, "per run... \nrun 0 of", runs) |
134 | 1x |
fun <- function(e) { |
135 | 40x |
eval(e, .GlobalEnv) |
136 | 40x |
NULL |
137 |
} |
|
138 | 1x |
for (r in seq_len(runs)) { |
139 | 20x |
for (f in sample(seq_len(es))) { |
140 | ! |
if (cleanup) gc(FALSE) |
141 | 40x |
st <- proc.time()[[3]] |
142 | 40x |
for (i in rs) fun(e[[f]]) |
143 | 40x |
seconds[r, f] <- proc.time()[[3]] - st |
144 |
} |
|
145 | 20x |
cat("\rrun", r, "of", runs) |
146 |
} |
|
147 | 1x |
cat("\rfinished", runs, "runs in", round(proc.time()[3] - ost, 2), "seconds \n\n") |
148 | 1x |
cat("expressions:\n\n") |
149 | 1x |
icn <- seq_len(es) |
150 | 1x |
ne <- gsub("\n", "\n ", ne, fixed = TRUE) |
151 | 1x |
for (i in icn) cat(i, ". ", ne[i], "\n", sep = "") |
152 | 1x |
cat("\n") |
153 | 1x |
res <- rbind(colSums(seconds), colMeans(seconds)) |
154 | 1x |
res <- rbind(res, if (min(res[1, ], na.rm = TRUE) == 0) res[1, ] + 1 else res[1, ] / min(res[1, ], na.rm = TRUE)) |
155 | 1x |
dimnames(res) <- list(c("total time (seconds)", "mean time per run", "times the minimum"), icn) |
156 | 1x |
print(round(res, 4)) |
157 | 1x |
if (!print.names) { |
158 | 1x |
if (!missing(print.names) || es > 5 || any(nchar(names(e)) > 50)) { |
159 | ! |
colnames(seconds) <- icn |
160 |
} |
|
161 |
} |
|
162 | 1x |
if (limit.outliers) { |
163 | 1x |
for (f in seq_len(es)) { |
164 | 2x |
qr <- quantile(seconds[, f], c(.25, .75), TRUE) |
165 | 2x |
qrc <- qr[2] + (qr[2] - qr[1]) * 1.5 |
166 | 2x |
seconds[seconds[, f] > qrc, f] <- qrc |
167 |
} |
|
168 |
} |
|
169 | 1x |
if (es == 1 && runs == 1) { |
170 | ! |
return(list(plot = NULL, summary = res)) |
171 |
} |
|
172 | 1x |
title <- paste("timing of", runs, "runs of", runsize, "calls each") |
173 | 1x |
if (nrow(seconds) == 1) { |
174 | ! |
options$x <- colnames(seconds) |
175 | ! |
seconds <- seconds[1, ] |
176 |
} |
|
177 | 1x |
invisible(list( |
178 | 1x |
plot = splot(seconds, title = title, labels.filter = FALSE, labels.trim = FALSE, options = options), |
179 | 1x |
checks = checks, |
180 | 1x |
expressions = as.list(unname(e)), |
181 | 1x |
summary = res |
182 |
)) |
|
183 |
} |