PMCMR-defunct: PMCMR-defunct

In PMCMR: Calculate Pairwise Multiple Comparisons of Mean Rank Sums

Description

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.

Usage

dunn.test.control(x, g, p.adjust.method = p.adjust.methods, ...)

jonckheere.test(x, ...)

## Default S3 method:
jonckheere.test(
  x,
  g,
  alternative = c("monotonic", "increasing", "decreasing"),
  ...
)

posthoc.friedman.conover.test(y, ...)

## Default S3 method:
posthoc.friedman.conover.test(
  y,
  groups,
  blocks,
  p.adjust.method = p.adjust.methods,
  ...
)

posthoc.friedman.nemenyi.test(y, ...)

## Default S3 method:
posthoc.friedman.nemenyi.test(y, groups, blocks, ...)

## S3 method for class 'formula'
posthoc.friedman.nemenyi.test(formula, data, subset, na.action, ...)

durbin.test(y, ...)

## Default S3 method:
durbin.test(y, groups, blocks, ...)

## S3 method for class 'formula'
durbin.test(formula, data, subset, na.action, ...)

posthoc.kruskal.conover.test(x, ...)

## Default S3 method:
posthoc.kruskal.conover.test(x, g, p.adjust.method = p.adjust.methods, ...)

## S3 method for class 'formula'
posthoc.kruskal.conover.test(
  formula,
  data,
  subset,
  na.action,
  p.adjust.method = p.adjust.methods,
  ...
)

posthoc.kruskal.dunn.test(x, ...)

## Default S3 method:
posthoc.kruskal.dunn.test(x, g, p.adjust.method = p.adjust.methods, ...)

## S3 method for class 'formula'
posthoc.kruskal.dunn.test(
  formula,
  data,
  subset,
  na.action,
  p.adjust.method = p.adjust.methods,
  ...
)

posthoc.kruskal.nemenyi.test(x, ...)

## Default S3 method:
posthoc.kruskal.nemenyi.test(x, g, dist = c("Tukey", "Chisquare"), ...)

## S3 method for class 'formula'
posthoc.kruskal.nemenyi.test(
  formula,
  data,
  subset,
  na.action,
  dist = c("Tukey", "Chisquare"),
  ...
)

posthoc.quade.test(y, ...)

## Default S3 method:
posthoc.quade.test(
  y,
  groups,
  blocks,
  dist = c("TDist", "Normal"),
  p.adjust.method = p.adjust.methods,
  ...
)

posthoc.vanWaerden.test(x, ...)

## Default S3 method:
posthoc.vanWaerden.test(x, g, p.adjust.method = p.adjust.methods, ...)

## S3 method for class 'formula'
posthoc.vanWaerden.test(
  formula,
  data,
  subset,
  na.action,
  p.adjust.method = p.adjust.methods,
  ...
)

vanWaerden.test(x, ...)

## Default S3 method:
vanWaerden.test(x, g, ...)

## S3 method for class 'formula'
vanWaerden.test(formula, data, subset, na.action, ...)

Arguments

x	a numeric vector of data values, or a list of numeric data vectors.
g	a vector or factor object giving the group for the corresponding elements of x. Ignored if x is a list.
p.adjust.method	Method for adjusting p values (see p.adjust).
...	further arguments to be passed to or from methods.
alternative	The alternative hypothesis.
y	either a numeric vector of data values, or a data matrix.
groups	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.
blocks	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
formula	a formula of the form a ~ b | c, where a, b and c give the data values and corresponding groups and blocks, respectively.
data	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).
subset	an optional vector specifying a subset of observations to be used.
na.action	a function which indicates what should happen when the data contain NAs. Defaults to getOption("na.action").´
dist	the test distribution

.Defunct

NA

PMCMR documentation built on Oct. 2, 2021, 5:07 p.m.