boxPlot: Produce a quick boxplot

In AnguloB/SubscaleExplorer: Psychometric scale explorer and management

Description

Produce a quick boxplot from a data frame or matrix and if wanted a vector with group membership.

Usage

boxPlot(df, group=NULL, out="default", missing=TRUE, color="#F4A460", labList=TRUE, legendLab="Group", title1="", xOrder=TRUE, numBreaks=10)

Arguments

df	vector, data frame or matrix
group	A vector of the same length as df (p.ex df$group) Default (NULL)
out	For groups. If "default" a boxplot with all groups is printed. If "rearranged" one graph with a plot for each group is printed
missing	If FALSE, na.omit is used before ploting for variable group. Default TRUE
labList	default NULL uses factor levels as group membership label.Else list (p.eg c("group1", "group2"))
color	color when group is NULL (default "#F4A460")
colorBox	boxplot color for group (default = "Spectral" from RColorBrewer)
alpha	transparency, defaults .3
legendLab	Legend title label (default="Group")
title1	Plot title (default="")
xOrder	x labels ordered alphabetically (default=TRUE)
numBreaks	when there are more than 15 response values breaks are modified for better visualization (default=10)

Value

plot	Single plot
pdf	One plot per each group (same=FALSE)

Author(s)

Ariadna Angulo-Brunet ([e-mail]), Carme Viladrich

See Also

violinPlot, ggplot2

Examples

#generate some random data
x<-1:5
y<-1:2
v1<-sample(x,80,replace=TRUE)
v2<-sample(x,80,replace=TRUE)
v3<-sample(x,80,replace=TRUE)
v4<-sample(x,80,replace=TRUE)
gender<- sample(y, 80, replace=TRUE)
df <- data.frame(v1, v2,v3,v4)


#Run boxplot
boxPlot(df)

#Run boxplot by group 
boxPlot(df, group=gender, labList=c("Male", "Female"), legendLab="Gender", title1="Boxplot by gender")

#Run a boxplot for each group
boxPlot(df, group=gender, out="rearrange")

AnguloB/SubscaleExplorer documentation built on Jan. 3, 2021, 2:57 p.m.