ggInterval_indexImage: An index plot presented by color image for interval data.

In ggESDA: Exploratory Symbolic Data Analysis with 'ggplot2'

An index plot presented by color image for interval data.

Description

Visualize the range of the variables of each observations by using color image.The index image replace margin bar by color,thus it will be more visible for data.

Usage

ggInterval_indexImage(data = NULL,mapping = aes(NULL),
column_condition=TRUE,full_strip=FALSE, 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.
column_condition	Boolean variables, which mean the color present by column condition (if TRUE) or matrix condition (if FALSE)
full_strip	Boolean variables, which mean the strip present in full figure-width (if TRUE) or only in its variable values(if FALSE).
plotAll	Boolean, which determine if the heatmap type for visualizing full variables is used. default FALSE.

Value

Return a ggplot2 object.

Examples

d<-data.frame(qq=rnorm(1000,0,1))
ggInterval_indexImage(d,aes(qq))

mydata<-ggESDA::facedata
p<-ggInterval_indexImage(mydata,aes(AD),full_strip=TRUE,column_condition = TRUE)
#Recommend to add coord_flip() to make the plot more visible
p+coord_flip()

myIris<-classic2sym(iris,groupby="Species")
myIris<-myIris$intervalData
p<-ggInterval_indexImage(myIris,aes(myIris$Petal.Length),full_strip=FALSE,column_condition=TRUE)
p

ggInterval_indexImage(mtcars,aes(disp))+labs(x="anything")

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