multtest.gp.bin: Univariate comparison of groups for multiple binary variables

In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

Univariate comparison of groups for multiple binary variables

Description

Performs group comparisons for multiple binary variables using a parametric or an exact test, and corrects p-values. Gives also group proportions and standards errors for each variable.

Usage

multtest.gp.bin(tab, fac, test = c("LRT", "Fisher"),
  p.method = "fdr", ordered = TRUE, ...)

## S3 method for class 'multtest.gp.bin'
plot(x, signif = FALSE, alpha = 0.05,
  vars = NULL, xlab = "Group", ylab = "Mean (+/- SE) proportion",
  titles = NULL, groups = NULL, ...)

Arguments

tab	data frame containing response variables.
fac	factor defining groups to compare.
test	type of test to use: likelihood ratio test based on binomial GLM ("LRT", default) or Fisher's exact test ("Fisher").
p.method	method for p-values correction. See help of p.adjust.
ordered	logical indicating if variables should be ordered based on p-values.
x	object returned from multtest.gp.bin.
signif	logical indicating if only variables with significant P-value should be plotted.
alpha	significance threshold.
vars	numeric vector giving variables to plot (rows of x). Default to all, which can lead to errors if too many variables.
xlab	legend of the x axis.
ylab	legend of the y axis
titles	titles of the graphs (name of the variables by default).
groups	names of the bars (levels of fac by default).
...	additional arguments to testing functions in multtest.gp.bin (especially for Anova and fisher.test) and to barplot in plot.

Author(s)

Maxime HERVE <[e-mail]>

See Also

multtest.gp, Anova, fisher.test

RVAideMemoire documentation built on Nov. 6, 2023, 5:07 p.m.