ErrorBarPlotPanel: Plots a panel of error bars

Description

Plots a panel of error bars to compare the means of several variables in the levels of a factor using confidence intervals.

Usage

ErrorBarPlotPanel(X, groups = NULL, nrows = NULL, panel = TRUE, 
GroupsTogether = TRUE, Confidence = 0.95, p.adjust.method = "None", 
UseANOVA = FALSE, Colors = "blue", Title = "Error Bar Plot", 
sort = TRUE, ...)

Value

A panel of error bars plots.

Arguments

X: A matrix containing several variables
groups: A factor defining groups of individuals
nrows: Number of rows of the panel. The function calculates the number of columns needed.
panel: The plots are shown on a panel (TRUE) or in separated graphs (FALSE)
GroupsTogether: The groups appear together on the same plot
Confidence: Confidence levels for the error bars (confidence intervals)
p.adjust.method: Method for adjusting the p-value to cope with multiple comparisons.
UseANOVA: If TRUE the function uses the residual variance of the ANOVA to calculate the confidence interval. ("None", "Bonferroni" or "Sidak")
Colors: Colors to identyfy the groups
Title: Title of the graph
sort: Should short the means before plotting
...: Other graphical parameters

Author

Jose Luis Vicente Villardon

Details

The funtion plots a panel of error bars plots to compare several groups for several variables.

Examples

Run this code

ErrorBarPlotPanel(wine[4:9], wine$Group, UseANOVA=TRUE, Title="", sort=FALSE)

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