aovTwoWay: Two-Way ANOVA

In twowaytests: Two-Way Tests in Independent Groups Designs

Two-Way ANOVA

Description

aovTwoWay computes a two-way ANOVA for main effects and interaction effect.

Usage

aovTwoWay(formula, data, 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.
alpha	the level of significance to assess the statistical difference. Default is set to alpha = 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

Toutenburg, H., Shalabh, S., Shalabh, H. (2002). Statistical analysis of designed experiments. Springer.

Examples

library(twowaytests)
data(alveolar)

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

out <- aovTwoWay(cell ~ ovalbumin*treatment, data = alveolar)
paircompTwoWay(out)

out <- aovTwoWay(cell ~ ovalbumin*treatment, data = alveolar, alpha = 0.10)
paircompTwoWay(out)

out <- aovTwoWay(cell ~ treatment*ovalbumin, data = alveolar, alpha = 0.10)
paircompTwoWay(out)

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