scatter.plot: Quick Scatterplot Function for Exploratory Analyses

In mathykathy26/kagRfun:

Description

Function to make many scatterplots for exploratory analyses. Includes Pearson correlation and sample size in the plot title.

Usage

scatter.plot(tdat, yname, xname, long.yname = NULL, long.xname = NULL,
  showr = TRUE, use.pch = 1, use.cex = 1, jitx = 0, jity = 0,
  addtomain = NULL, cex.xylab = 1.5, cex.title = 1.2, ...)

Arguments

yname	name of variable from tdat to plot on y-axis
xname	name of variable from tdat to plot on x-axis
long.yname	character string to be put on y-axis
long.xname	character string to be put on x-axis
showr	TRUE means include correlation and n on plot heading
use.pch	pch symbol to be used in plot
use.cex	cex (character expansion) for plotting symbols
jitx	factor component of jitter(x,factor=jitx)
jity	factor component of jitter(y,factor=jity)
addtomain	additional text for main title (if showr=FALSE, this is the entire title)
cex.xylab	cex for x and y axes
cex.title	cex for title (and correlation, if shown)
...	Other graphical parameters sent to plot

Examples

test.dat<-data.frame(x=rnorm(10),y=rbinom(10,2,.5))
scatter.plot(test.dat,yname="y",xname="x")

mathykathy26/kagRfun documentation built on May 29, 2019, 4:40 a.m.