ggInterval_scaMatrix: scatter plot for all variable by interval data.

In ggESDA: Exploratory Symbolic Data Analysis with 'ggplot2'

scatter plot for all variable by interval data.

Description

Visualize the all continuous variable distribution by rectangle for both x-axis and y-axis with a matrix grid. Note: this function will automatically filter out the discrete variables,and plot all continuous in input data,so it can not be necessary that give the particularly variables in aes such like (aes(x = x, y = y)). It isn't also recommended to deal with too many variables because the big O in calculating full matrix will be too large.

Usage

ggInterval_scaMatrix(data = NULL,mapping = aes(NULL), showLegend=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.
showLegend	whether show the legend.

Value

Return a plot with no longer a ggplot2 object,instead of a marrangeGrob object.

Examples

a<-rnorm(1000,0,5)
b<-runif(1000,-20,-10)
c<-rgamma(1000,10,5)
d<-as.data.frame(cbind(norm=a,unif=b,gamma_10_5=c))
ggInterval_scaMatrix(d)


ggInterval_scaMatrix(mtcars[,c("mpg","wt","qsec")],
    aes(col="red",lty=2,fill="blue",alpha=0.3))


myIris <- classic2sym(iris,groupby = "Species")$intervalData
ggInterval_scaMatrix(myIris[,1:3])


mydata <- ggESDA::Cardiological
ggInterval_scaMatrix(mydata[,1:3],aes(fill="black",alpha=0.2))

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