ggcorplot: Correlation matrix

In Deducer: A Data Analysis GUI for R

Description

Plots a correlation matrix

Usage

ggcorplot(cor.mat,data=NULL,lines=TRUE,line.method=c("lm","loess"),type="points",
		alpha=.25,main="auto",var_text_size=5,
		cor_text_limits=c(5,25),level=.05)

Arguments

cor.mat	a cor.matrix object to plot
data	the data.frame used to compute the correlation matrix
lines	Logical. Should regression lines be drawn.
type	type of plot. "points" or "bins"
line.method	Character. Type of regression line.
alpha	numeric. level of alpha transparency for the points.
main	Title of the plot. defaults to the method of cor.mat.
var_text_size	size of the diagonal variable names.
cor_text_limits	lower and upper bounds for the size of the correlation text.
level	the size of the test differentiated by text color.

Author(s)

Mike Lawrence and Ian Fellows

See Also

cor.matrix qscatter_array

Examples

data(mtcars)
corr.mat1<-cor.matrix(variables=d(mpg,carb,carb+rnorm(length(carb))),,
	 data=mtcars,
	 test=cor.test,
	 method='spearman',
	alternative="two.sided",exact=FALSE)
	
p<-ggcorplot(corr.mat1,data = mtcars)
print(p)
## Not run: 

has.hex<-require("hexbin")
if(has.hex){
	data(diamonds)
	corr.mat<-cor.matrix(variables=d(price,carat,color),,
		 data=diamonds,
		 test=cor.test,
		 method='spearman',
		alternative="two.sided")

	p1 <- ggcorplot(cor.mat=corr.mat,data=diamonds,type="bins",
		cor_text_limits=c(5,15),
		lines=FALSE)
	print(p1)
	rm('corr.mat')

}

## End(Not run)

Deducer documentation built on May 2, 2019, 8:35 a.m.