tmeanTwoWay: Two-Way ANOVA for Trimmed Means

In twowaytests: Two-Way Tests in Independent Groups Designs

Two-Way ANOVA for Trimmed Means

Description

tmeanTwoWay computes a two-way ANOVA for trimmed means.

Usage

tmeanTwoWay(formula, data, tr = 0.1, alpha = 0.05, na.rm = TRUE, verbose = TRUE)

Arguments

formula	a formula of the form lhs ~ rhs where lhs gives the sample values and rhs gives the two factors.
data	a data frame containing the variables in formula.
tr	the rate of observations trimmed from each tail of the distribution. Default is set to 0.1.
alpha	the level of significance to assess the statistical difference. Default is set to 0.05.
na.rm	a logical value indicating whether NA values should be stripped before the computation proceeds.
verbose	a logical for printing output to R console.

Value

A list containing the following components:

output	a data frame of output.
alpha	the level of significance to assess the statistical difference.
method	the method name.
data	a data frame containing the variables in which NA values (if exist) are removed.
formula	a formula of the form lhs ~ rhs where lhs gives the sample values and rhs gives the two factors.

Author(s)

Muhammed Ali Yilmaz, Osman Dag

References

Wilcox, R.R. (2011). Introduction to robust estimation and hypothesis testing. Academic press.

See Also

t2way

Examples

library(twowaytests)
data(alveolar)

tmeanTwoWay(cell ~ ovalbumin*treatment, data = alveolar)

out <- tmeanTwoWay(cell ~ ovalbumin*treatment, data = alveolar, verbose = FALSE)
paircompTwoWay(out)

out <- tmeanTwoWay(cell ~ treatment*ovalbumin, data = alveolar, verbose = FALSE)
paircompTwoWay(out)

twowaytests documentation built on March 31, 2023, 9:26 p.m.