osrtTest

osrtTest.default

osrtTest.formula

a numeric vector of data values, or a list of numeric data
vectors.

further arguments to be passed to or from methods.

&#8230;

a vector or factor object giving the group for the
corresponding elements of <code>"x"</code>.
Ignored with a warning if <code>"x"</code> is a list.

a formula of the form <code>response ~ group</code> where
<code>response</code> gives the data values and <code>group</code> a vector or
factor of the corresponding groups.

formula

an optional matrix or data frame (or similar: see
<code><a rd-options="" href="/link/model.frame?package=PMCMRplus&version=1.3.0" data-mini-rdoc="PMCMRplus::model.frame">model.frame</a></code>) containing the variables in the
formula <code>formula</code>. By default the variables are taken from
<code>environment(formula)</code>.

data

an optional vector specifying a 
subset of observations to be used.

subset

a function which indicates what should happen when
the data contain <code>NA</code>s. Defaults to <code>getOption("na.action")</code>.

na.action

Performs Hayter's one-sided studentised range
test against an ordered alternative for normal data
with equal variances.

htest

For one-way layout experiments the one-way ANOVA can
be performed as an omnibus test. All-pairs multiple comparisons
tests (Tukey-Kramer test, Scheffe test, LSD-test)
and many-to-one tests (Dunnett test) for normally distributed
residuals and equal within variance are available. Furthermore,
all-pairs tests (Games-Howell test, Tamhane's T2 test,
Dunnett T3 test, Ury-Wiggins-Hochberg test) and many-to-one
(Tamhane-Dunnett Test) for normally distributed residuals
and heterogeneous variances are provided. Van der Waerden's normal
scores test for omnibus, all-pairs and many-to-one tests is
provided for non-normally distributed residuals and homogeneous
variances. The Kruskal-Wallis, BWS and Anderson-Darling
omnibus test and all-pairs tests
(Nemenyi test, Dunn test, Conover test, Dwass-Steele-Critchlow-
Fligner test) as well as many-to-one (Nemenyi test, Dunn test,
U-test) are given for the analysis of variance by ranks.
Non-parametric trend tests (Jonckheere test, Cuzick test,
Johnson-Mehrotra test, Spearman test) are included.
In addition, a Friedman-test for one-way ANOVA with repeated
measures on ranks (CRBD) and Skillings-Mack test for unbalanced
CRBD is provided with consequent all-pairs tests (Nemenyi test,
Siegel test, Miller test, Conover test, Exact test)
and many-to-one tests (Nemenyi test, Demsar test, Exact test).
A trend can be tested with Pages's test. Durbin's test
for a two-way balanced incomplete block design (BIBD) is given
in this package as well as Gore's test for CRBD with multiple
observations per cell is given.  Outlier tests, Mandel's k- and
h statistic as well as functions for Type I error and Power
analysis as well as generic summary, print and plot methods
are provided.

Thorsten Pohlert

PMCMRplus

Calculate Pairwise Multiple Comparisons of Mean Rank Sums
Extended

osrtTest function

an optional matrix or data frame (or similar: see
<code><a rd-options='' href='model.frame'>model.frame</a></code>) containing the variables in the
formula <code>formula</code>. By default the variables are taken from
<code>environment(formula)</code>.

osrtTest: One-Sided Studentised Range Test

Description

Usage

Arguments

Value

References

Examples