Nothing
gofGroupTest.default <-
function (object, group, test = "sw", distribution = "norm",
est.arg.list = NULL, n.classes = NULL, cut.points = NULL,
param.list = NULL, estimate.params = ifelse(is.null(param.list),
TRUE, FALSE), n.param.est = NULL, correct = NULL, digits = .Options$digits,
exact = NULL, ws.method = "normal scores", data.name = NULL,
group.name = NULL, parent.of.data = NULL, subset.expression = NULL,
...)
{
if (is.null(data.name))
data.name <- deparse(substitute(object))
if (is.null(group.name))
group.name <- deparse(substitute(group))
y <- as.vector(unlist(object))
if (!is.numeric(y))
stop("All elements of 'object' must be numeric")
if (!is.factor(group))
group <- factor(unlist(group))
if (any(!is.finite(group)))
stop("NA's/Inf's not allowed in 'group'.")
if (length(y) != length(group))
stop("'y' and 'group' must have the same length.")
y.list <- split(y, group)
n.grps <- length(y.list)
if (n.grps == 1) {
warning("Only one group supplied, so the function 'gofTest' was called.")
ret.list <- gofTest(y = unlist(y.list), test = test,
distribution = distribution, est.arg.list = est.arg.list,
n.classes = n.classes, cut.points = cut.points, param.list = param.list,
estimate.params = estimate.params, n.param.est = n.param.est,
correct = correct, digits = digits, exact = exact,
ws.method = ws.method, data.name = data.name)
}
else {
c.names <- names(y.list)
if (identical(c.names, as.character(1:n.grps))) {
c.names <- paste(group.name, c.names, sep = ".")
}
dum.list <- lapply(y.list, gofTest, test = test, distribution = distribution,
est.arg.list = est.arg.list, n.classes = n.classes,
cut.points = cut.points, param.list = param.list,
estimate.params = estimate.params, n.param.est = n.param.est,
correct = correct, digits = digits, exact = exact,
ws.method = ws.method)
distribution <- dum.list[[1]]$distribution
dist.abb <- dum.list[[1]]$dist.abb
sample.size <- sapply(dum.list, function(x) x$sample.size)
names(sample.size) <- c.names
p.value.vec <- sapply(dum.list, function(x) x$p.value)
names(p.value.vec) <- c.names
bad.obs.vec <- sapply(dum.list, function(x) x$bad.obs)
names(bad.obs.vec) <- c.names
group.gof.list <- gofTest(p.value.vec, test = "ws", ws.method = ws.method)
group.statistic <- group.gof.list$statistic
group.sample.size <- group.gof.list$sample.size
group.parameters <- group.gof.list$parameters
group.p.value <- group.gof.list$p.value
group.alternative <- paste("At least one group", "does not come from a",
paste(distribution, "Distribution."), sep = paste("\n",
space(33), sep = ""))
group.method <- group.gof.list$method
group.bad.obs <- group.gof.list$bad.obs
names(group.bad.obs) <- "Group.bad.obs"
group.scores <- group.gof.list$scores
ret.list <- list(distribution = distribution, dist.abb = dist.abb,
statistic = group.statistic, sample.size = sample.size,
parameters = group.parameters, p.value = c(p.value.vec,
group.p.value), alternative = group.alternative,
method = group.method, data.name = data.name, grouping.variable = group.name)
if (!is.null(parent.of.data))
ret.list$parent.of.data <- parent.of.data
if (!is.null(subset.expression))
ret.list$subset.expression <- subset.expression
ret.list <- c(ret.list, list(bad.obs = c(bad.obs.vec,
group.bad.obs), n.groups = n.grps, group.names = c.names,
group.scores = group.scores))
oldClass(ret.list) <- "gofGroup"
}
ret.list
}
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