ggInterval_boxplot {ggESDA} | R Documentation |
A interval Box plot
Description
Visualize the one continuous variable distribution by box represented by multiple rectangles.
Usage
ggInterval_boxplot(data = NULL,mapping = aes(NULL),plotAll=FALSE)
Arguments
data |
A ggESDA object. It can also be either RSDA object or classical data frame, which will be automatically convert to ggESDA data. |
mapping |
Set of aesthetic mappings created by aes() or aes_(). If specified and inherit. aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping. It is the same as the mapping of ggplot2. |
plotAll |
booleans, if TRUE, plot all variable together |
Value
Return a ggplot2 object.
Examples
p<-ggInterval_boxplot(iris,aes(iris$Petal.Length))
p
p+scale_fill_manual(values = c("red","yellow",
"green","blue","black"),
labels=c("0%","25%","50%","75%","100%"),
name="quantile")
mydata<-ggESDA::facedata
ggInterval_boxplot(mydata,aes(AD,col="black",alpha=0.5))
myMtcars<-classic2sym(mtcars)
myMtcars<-myMtcars$intervalData
ggInterval_boxplot(myMtcars,aes(disp))
[Package ggESDA version 0.2.0 Index]