ggInterval_minmax: A min-max plot for interval data

In ggESDA: Exploratory Symbolic Data Analysis with 'ggplot2'

A min-max plot for interval data

Description

Visualize the range of the variables of each observations by marking minimal and maximal point.

Usage

ggInterval_minmax(data = NULL,mapping = aes(NULL),
          scaleXY = "local",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.
scaleXY	default "local", which means limits of x-axis and y-axis depend on their own variable. "global" means limits of them depend on all variables that user input.
plotAll	booleans, if TRUE, plot all variable together

Value

Return a ggplot2 object.

Examples

ggInterval_minmax(mtcars,aes(disp))

mydata2<-ggESDA::Cardiological
ggInterval_minmax(mydata2,aes(mydata2$Pulse,size=3))

d<-mapply(c(10,20,40,80,160),c(20,40,80,160,320),FUN=runif,n=1000)
d<-data.frame(qq=matrix(d,ncol=1))
ggInterval_minmax(d,aes(qq))

myIris<-classic2sym(iris,groupby="Species")
myIris<-myIris$intervalData
ggInterval_minmax(myIris,aes(myIris$Petal.Length))+
   theme_classic()

ggESDA documentation built on Aug. 19, 2022, 9:06 a.m.