The functions or methods listed here are no longer part of PMCMR. You will find functions and methods in the PMCMRplus package https://cran.r-project.org/package=PMCMRplus.
dunn.test.control(x, g, p.adjust.method = p.adjust.methods, ...)jonckheere.test(x, ...)
# S3 method for default
jonckheere.test(
x,
g,
alternative = c("monotonic", "increasing", "decreasing"),
...
)
posthoc.friedman.conover.test(y, ...)
# S3 method for default
posthoc.friedman.conover.test(
y,
groups,
blocks,
p.adjust.method = p.adjust.methods,
...
)
posthoc.friedman.nemenyi.test(y, ...)
# S3 method for default
posthoc.friedman.nemenyi.test(y, groups, blocks, ...)
# S3 method for formula
posthoc.friedman.nemenyi.test(formula, data, subset, na.action, ...)
durbin.test(y, ...)
# S3 method for default
durbin.test(y, groups, blocks, ...)
# S3 method for formula
durbin.test(formula, data, subset, na.action, ...)
posthoc.kruskal.conover.test(x, ...)
# S3 method for default
posthoc.kruskal.conover.test(x, g, p.adjust.method = p.adjust.methods, ...)
# S3 method for formula
posthoc.kruskal.conover.test(
formula,
data,
subset,
na.action,
p.adjust.method = p.adjust.methods,
...
)
posthoc.kruskal.dunn.test(x, ...)
# S3 method for default
posthoc.kruskal.dunn.test(x, g, p.adjust.method = p.adjust.methods, ...)
# S3 method for formula
posthoc.kruskal.dunn.test(
formula,
data,
subset,
na.action,
p.adjust.method = p.adjust.methods,
...
)
posthoc.kruskal.nemenyi.test(x, ...)
# S3 method for default
posthoc.kruskal.nemenyi.test(x, g, dist = c("Tukey", "Chisquare"), ...)
# S3 method for formula
posthoc.kruskal.nemenyi.test(
formula,
data,
subset,
na.action,
dist = c("Tukey", "Chisquare"),
...
)
posthoc.quade.test(y, ...)
# S3 method for default
posthoc.quade.test(
y,
groups,
blocks,
dist = c("TDist", "Normal"),
p.adjust.method = p.adjust.methods,
...
)
posthoc.vanWaerden.test(x, ...)
# S3 method for default
posthoc.vanWaerden.test(x, g, p.adjust.method = p.adjust.methods, ...)
# S3 method for formula
posthoc.vanWaerden.test(
formula,
data,
subset,
na.action,
p.adjust.method = p.adjust.methods,
...
)
vanWaerden.test(x, ...)
# S3 method for default
vanWaerden.test(x, g, ...)
# S3 method for formula
vanWaerden.test(formula, data, subset, na.action, ...)
a numeric vector of data values, or a list of numeric data vectors.
a vector or factor object giving
the group for the corresponding elements of x.
Ignored if x is a list.
Method for adjusting
p values (see p.adjust).
further arguments to be passed to or from methods.
The alternative hypothesis.
either a numeric vector of data values, or a data matrix.
a vector giving the group for
the corresponding elements of y if this is a vector;
ignored if y is a matrix. If not a factor object,
it is coerced to one.
a vector giving the block for
the corresponding elements of y if this is a vector;
ignored if y is a matrix. If not a factor object,
it is coerced to one
a formula of the form a ~ b | c,
where a, b and c give the data
values and corresponding groups and blocks, respectively.
an optional matrix or data frame
(or similar: see model.frame) containing the
variables in the formula formula.
By default the variables are taken from
environment(formula).
an optional vector specifying a subset of observations to be used.
a function which indicates what
should happen when the data contain NAs.
Defaults to getOption("na.action").<U+00B4>
the test distribution
NA