PMCMR-defunct {PMCMR}

PMCMR-defunct

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