corr.mplot: Multiple Scatter Plots

In adoocavo/Rstat_M1: Basic Statistical Methods in R

Multiple Scatter Plots

Description

Multiple Scatter Plots from Lists of Bivariate Data

Usage

corr.mplot(X, item, xl, yl, mt, step = 1:4, alp = 0.05, dig = 4)

Arguments

X	List vector of bivariate data with 2 columns
item	String vector of list names
xl	Label of x-axis (default="group1")
yl	Label of y-axis (default="group2")
mt	Plot title
step	Steps for correlation analysis, Default: 1:4
alp	Level of significance, Default: 0.05
dig	Number of digits below the decimal point, Default: 4

Value

None.

Examples

xd = list(cbind(iris[[1]], iris[[2]]), cbind(iris[[3]], iris[[4]]))
spec = c("Sepal", "Petal")
corr.mplot(X=xd, item=spec, xl="Length", yl="Width")

adoocavo/Rstat_M1 documentation built on March 19, 2022, 3:34 a.m.