Nothing
plot.gofGroup <-
function (x, plot.type = "Summary", captions = list(QQ = NULL,
MDQQ = NULL, ScoresQQ = NULL, ScoresMDQQ = NULL, Results = NULL),
x.labels = list(QQ = NULL, MDQQ = NULL, ScoresQQ = NULL,
ScoresMDQQ = NULL), y.labels = list(QQ = NULL, MDQQ = NULL,
ScoresQQ = NULL, ScoresMDQQ = NULL), same.window = FALSE,
ask = same.window & plot.type == "All", add.line = TRUE,
digits = ifelse(plot.type == "Summary", 2, .Options$digits),
test.result.font = 1, test.result.cex = ifelse(plot.type ==
"Summary", 0.9, 1) * par("cex"), test.result.mar = c(0,
0, 3, 0) + 0.1, individual.p.values = FALSE, cex.main = ifelse(plot.type ==
"Summary", 1.2, 1.5) * par("cex"), cex.axis = ifelse(plot.type ==
"Summary", 0.9, 1) * par("cex"), cex.lab = ifelse(plot.type ==
"Summary", 0.9, 1) * par("cex"), main = NULL, xlab = NULL,
ylab = NULL, xlim = NULL, ylim = NULL, add.om.title = TRUE,
oma = if (plot.type == "Summary" & add.om.title) c(0, 0,
5, 0) else c(0, 0, 0, 0), om.title = NULL, om.font = 2,
om.cex.main = 1.5 * par("cex"), om.line = 1, ...)
{
gof.obj <- x
plot.type <- match.arg(plot.type, c("Summary", "All", "Q-Q Plot",
"Tukey M-D Q-Q Plot", "Scores Q-Q Plot", "Scores Tukey M-D Q-Q Plot",
"Test Results"))
check.gp.list <- checkGraphicsPars(...)
gp.arg.list <- check.gp.list$gp.arg.list
gen.gp.list <- check.gp.list$gen.gp.list
data.name <- gof.obj$data.name
data.name.string <- data.name
parent.of.data <- gof.obj$parent.of.data
if (!is.null(parent.of.data))
data.name.string <- paste(data.name, "in", parent.of.data)
grouping.variable <- gof.obj$grouping.variable
user.main <- main
user.xlab <- xlab
user.ylab <- ylab
user.xlim <- xlim
user.ylim <- ylim
if (!missing(captions)) {
if (!is.list(captions))
stop("The argument 'captions' must be a list")
len <- length(captions)
if (len < 1 | len > 5)
stop("The argument 'captions' must be a list with 1 to 5 components")
if (!all(sapply(captions, length) == 1) || !all(sapply(captions,
is.character)))
stop("All components of the argument 'captions' must be character strings")
names.vec <- names(captions)
if (!all(names.vec %in% c("QQ", "MDQQ", "ScoresQQ", "ScoresMDQQ",
"Results")))
stop(paste("All components of the argument 'captions'",
"must have names, and the name must be one of",
"\"QQ\", \"MDQQ\", \"ScoresQQ\", \"ScoresMDQQ\", or \"Results\""))
if (length(unique(names.vec)) != length(names.vec))
stop(paste("The names of the components for the argument 'captions'",
"must be unique"))
old.captions <- captions
captions <- list(QQ = NULL, MDQQ = NULL, ScoresQQ = NULL,
ScoresMDQQ = NULL, Results = NULL)
captions[names.vec] <- old.captions
}
if (!missing(x.labels)) {
if (!is.list(x.labels))
stop("The argument 'x.labels' must be a list")
len <- length(x.labels)
if (len < 1 | len > 4)
stop("The argument 'x.labels' must be a list with 1 to 4 components")
if (!all(sapply(x.labels, length) == 1) || !all(sapply(x.labels,
is.character)))
stop("All components of the argument 'x.labels' must be character strings")
names.vec <- names(x.labels)
if (!all(names.vec %in% c("QQ", "MDQQ", "ScoresQQ", "ScoresMDQQ")))
stop(paste("All components of the argument 'x.labels'",
"must have names, and the name must be one of",
"\"QQ\", \"MDQQ\", \"ScoresQQ\", or \"ScoresMDQQ\""))
if (length(unique(names.vec)) != length(names.vec))
stop(paste("The names of the components for the argument 'x.labels'",
"must be unique"))
old.x.labels <- x.labels
x.labels <- list(QQ = NULL, MDQQ = NULL, ScoresQQ = NULL,
ScoresMDQQ = NULL)
x.labels[names.vec] <- old.x.labels
}
if (!missing(y.labels)) {
if (!is.list(y.labels))
stop("The argument 'y.labels' must be a list")
len <- length(y.labels)
if (len < 1 | len > 4)
stop("The argument 'y.labels' must be a list with 1 to 4 components")
if (!all(sapply(y.labels, length) == 1) || !all(sapply(y.labels,
is.character)))
stop("All components of the argument 'y.labels' must be character strings")
names.vec <- names(y.labels)
if (!all(names.vec %in% c("QQ", "MDQQ", "ScoresQQ", "ScoresMDQQ")))
stop(paste("All components of the argument 'y.labels'",
"must have names, and the name must be one of",
"\"QQ\", \"MDQQ\", \"ScoresQQ\", or \"ScoresMDQQ\""))
if (length(unique(names.vec)) != length(names.vec))
stop(paste("The names of the components for the argument 'y.labels'",
"must be unique"))
old.y.labels <- y.labels
y.labels <- list(QQ = NULL, MDQQ = NULL, ScoresQQ = NULL,
ScoresMDQQ = NULL)
y.labels[names.vec] <- old.y.labels
}
if (is.element(plot.type, c("Summary", "All", "Q-Q Plot"))) {
if (plot.type == "All" & same.window) {
devAskNewPage(ask = ask)
}
else if (plot.type == "Summary") {
o.par1 <- par(c("cex", "mex", "mgp"))
o.par2 <- par(mfrow = c(2, 2), mar = c(4, 4, 3, 1) +
0.1, oma = oma)
par(cex = 0.8 * o.par1$cex, mex = 0.8 * o.par1$mex,
mgp = c(2.75, 0.5, 0))
on.exit(par(c(o.par1, o.par2)))
}
if (is.null(user.xlab) & !is.null(x.labels[[1]]))
xlab <- x.labels[[1]]
else xlab <- user.xlab
if (is.null(user.ylab)) {
if (!is.null(y.labels[[1]]))
ylab <- y.labels[[1]]
else {
ylab <- paste("Quantiles of P-values")
}
}
else ylab <- user.ylab
qqPlot(gof.obj$p.value[1:gof.obj$n.groups], distribution = "unif",
param.list = list(min = 0, max = 1), digits = digits,
add.line = add.line, qq.line.type = "0-1", ..., cex.axis = cex.axis,
cex.lab = cex.lab, xlab = user.xlab, ylab = ylab,
main = "", xlim = user.xlim, ylim = user.ylim)
if (is.null(user.main)) {
if (!is.null(captions[[1]]))
main <- captions[[1]]
else {
main <- paste("Quantile-Quantile Plot of P-values for\n",
paste(data.name, "Grouped by", grouping.variable))
}
}
arg.list <- c(list(cex.main = cex.main), gen.gp.list,
list(main = main))
do.call("title", arg.list)
}
if (is.element(plot.type, c("All", "Tukey M-D Q-Q Plot"))) {
if (plot.type == "All" & !same.window)
dev.new()
if (is.null(user.xlab) & !is.null(x.labels[[2]]))
xlab <- x.labels[[2]]
else xlab <- user.xlab
if (is.null(user.ylab) & !is.null(y.labels[[2]]))
ylab <- y.labels[[2]]
else ylab <- user.ylab
qqPlot(gof.obj$p.value[1:gof.obj$n.groups], distribution = "unif",
param.list = list(min = 0, max = 1), plot.type = "Tukey Mean-Difference Q-Q",
digits = digits, add.line = add.line, ..., cex.axis = cex.axis,
cex.lab = cex.lab, xlab = user.xlab, ylab = ylab,
main = "", xlim = user.xlim, ylim = user.ylim)
if (is.null(user.main)) {
if (!is.null(captions[[2]]))
main <- captions[[2]]
else main <- paste("Tukey Mean-Difference Q-Q Plot of P-values for\n",
paste(data.name, "Grouped by", grouping.variable))
}
arg.list <- c(list(cex.main = cex.main), gen.gp.list,
list(main = main))
do.call("title", arg.list)
}
if (is.element(plot.type, c("Summary", "All", "Scores Q-Q Plot"))) {
method <- gof.obj$method
n.char <- nchar(method)
score.type <- ifelse(substr(method, n.char - 13, n.char -
1) == "Normal Scores", "Normal", "Chi-square")
if (plot.type == "All" & !same.window)
dev.new()
if (is.null(user.xlab) & !is.null(x.labels[[3]]))
xlab <- x.labels[[3]]
else xlab <- user.xlab
if (is.null(user.ylab)) {
if (!is.null(y.labels[[3]]))
ylab <- y.labels[[3]]
else {
ylab <- paste("Quantiles of the", score.type,
"Scores")
}
}
else ylab <- user.ylab
if (score.type == "Normal") {
qqPlot(gof.obj$group.scores, distribution = "norm",
param.list = list(mean = 0, sd = 1), digits = digits,
add.line = add.line, qq.line.type = "0-1", ...,
cex.axis = cex.axis, cex.lab = cex.lab, xlab = user.xlab,
ylab = ylab, main = "", xlim = user.xlim, ylim = user.ylim)
}
else {
qqPlot(gof.obj$group.scores, distribution = "chisq",
param.list = list(df = 2), digits = digits, add.line = add.line,
qq.line.type = "0-1", ..., cex.axis = cex.axis,
cex.lab = cex.lab, xlab = user.xlab, ylab = ylab,
main = "", xlim = user.xlim, ylim = user.ylim)
}
if (is.null(user.main)) {
if (!is.null(captions[[3]]))
main <- captions[[3]]
else {
main <- paste("Quantile-Quantile Plot of ", score.type,
" Scores for\n", paste(data.name, "Grouped by",
grouping.variable), sep = "")
}
}
arg.list <- c(list(cex.main = cex.main), gen.gp.list,
list(main = main))
do.call("title", arg.list)
}
if (is.element(plot.type, c("All", "Scores Tukey M-D Q-Q Plot"))) {
method <- gof.obj$method
n.char <- nchar(method)
score.type <- ifelse(substr(method, n.char - 13, n.char -
1) == "Normal Scores", "Normal", "Chi-square")
if (plot.type == "All" & !same.window)
dev.new()
if (is.null(user.xlab) & !is.null(x.labels[[4]]))
xlab <- x.labels[[4]]
else xlab <- user.xlab
if (is.null(user.ylab) & !is.null(y.labels[[4]]))
ylab <- y.labels[[4]]
else ylab <- user.ylab
if (score.type == "Normal") {
qqPlot(gof.obj$group.scores, distribution = "norm",
param.list = list(mean = 0, sd = 1), plot.type = "Tukey Mean-Difference Q-Q",
add.line = add.line, digits = digits, ..., cex.axis = cex.axis,
cex.lab = cex.lab, main = "", xlab = user.xlab,
ylab = user.ylab, xlim = user.xlim, ylim = user.ylim)
}
else {
qqPlot(gof.obj$group.scores, distribution = "chisq",
param.list = list(df = 2), plot.type = "Tukey Mean-Difference Q-Q",
add.line = add.line, digits = digits, ..., cex.axis = cex.axis,
cex.lab = cex.lab, main = "", xlab = user.xlab,
ylab = user.ylab, xlim = user.xlim, ylim = user.ylim)
}
if (is.null(user.main)) {
if (!is.null(captions[[2]]))
main <- captions[[2]]
else main <- paste("Tukey Mean-Difference Q-Q Plot of ",
score.type, " Scores for\n", paste(data.name,
"Grouped by", grouping.variable), sep = "")
}
arg.list <- c(list(cex.main = cex.main), gen.gp.list,
list(main = main))
do.call("title", arg.list)
}
if (is.element(plot.type, c("Summary", "All", "Test Results"))) {
if (plot.type == "All" & !same.window)
dev.new()
par(usr = c(0, 1, 0, 1))
o.mar <- par(mar = test.result.mar)
plot(0:1, 0:1, type = "n", axes = FALSE, main = "")
if (is.null(user.main)) {
if (!is.null(captions[[5]]))
main <- captions[[5]]
else main <- paste("Results of", gof.obj$method)
}
arg.list <- c(list(cex.main = cex.main), gen.gp.list,
list(main = main))
do.call("title", arg.list)
o.par <- par(cex = test.result.cex, font = test.result.font)
char.ht <- par("cxy")[2] * test.result.cex
text(0, 1, "Hypothesized\nDistribution:", adj = c(0,
1))
text(1, 1 - char.ht, gof.obj$distribution, adj = c(1,
1))
mf <- 3
if (!is.null(gof.obj$n.param.est) && gof.obj$n.param.est >
0) {
text(0, 1 - mf * char.ht, "Estimated Parameters:",
adj = c(0, 1))
text(1, 1 - mf * char.ht, paste(format(names(gof.obj$distribution.parameters),
justify = "left"), " = ", format(format(gof.obj$distribution.parameters,
digits = digits, nsmall = 0)), "\n", sep = "",
collapse = ""), adj = c(1, 1))
mf <- mf + 2 + length(gof.obj$distribution.parameters) -
1
}
text(0, 1 - mf * char.ht, "Data:", adj = 0)
text(1, 1 - mf * char.ht, gof.obj$data.name, adj = 1)
mf <- mf + 2
text(0, 1 - mf * char.ht, "Grouped With:", adj = 0)
text(1, 1 - mf * char.ht, grouping.variable, adj = 1)
mf <- mf + 2
if (!is.null(gof.obj$subset.expression)) {
text(0, 1 - mf * char.ht, "Subset With:", adj = 0)
text(1, 1 - mf * char.ht, gof.obj$subset.expression,
adj = 1)
mf <- mf + 2
}
if (!is.null(gof.obj$parent.of.data)) {
text(0, 1 - mf * char.ht, "Data Source:", adj = 0)
text(1, 1 - mf * char.ht, gof.obj$parent.of.data,
adj = 1)
mf <- mf + 2
}
text(0, 1 - mf * char.ht, "Number of Groups:", adj = 0)
text(1, 1 - mf * char.ht, gof.obj$n.groups, adj = 1)
mf <- mf + 2
text(0, 1 - mf * char.ht, "Test Statistic:", adj = 0)
text(1, 1 - mf * char.ht, paste(format(names(gof.obj$statistic),
justify = "left"), " = ", format(format(gof.obj$statistic,
digits = digits, nsmall = 0)), sep = "", collapse = ""),
adj = 1)
mf <- mf + 2 + length(gof.obj$statistic) - 1
if (!is.null(gof.obj$parameters)) {
text(0, 1 - mf * char.ht, "Test Statistic Parmeter:",
adj = 0)
text(1, 1 - mf * char.ht, paste(format(names(gof.obj$parameters),
justify = "left"), format(gof.obj$parameters,
digits = digits, nsmall = 0), sep = " = "), adj = 1)
mf <- mf + 2
}
if (individual.p.values) {
index <- 1:gof.obj$n.groups
text(0, 1 - mf * char.ht, "Individual P-values:",
adj = c(0, 1))
text(1, 1 - mf * char.ht, paste(format(names(gof.obj$p.value[index]),
justify = "left"), " = ", format(format(gof.obj$p.value[index],
digits = digits, nsmall = 0)), "\n", sep = "",
collapse = ""), adj = c(1, 1))
mf <- mf + 2 + gof.obj$n.groups
}
index <- 1 + gof.obj$n.groups
text(0, 1 - mf * char.ht, "P-value:", adj = 0)
text(1, 1 - mf * char.ht, format(gof.obj$p.value[index],
digits = digits, nsmall = 0), adj = 1)
par(c(o.mar, o.par))
}
if (plot.type == "Summary" & add.om.title) {
if (is.null(om.title)) {
string1 <- paste("Results of", gof.obj$method, "for",
gof.obj$distribution, "Distribution for")
string2 <- paste(data.name.string, "Grouped with ",
grouping.variable)
om.title <- paste(string1, string2, sep = "\n")
}
mtext(om.title, side = 3, line = om.line, outer = TRUE,
cex = om.cex.main, font = om.font)
}
invisible(gof.obj)
}
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