| scatter.hist {psych} | R Documentation |
Draw a X Y scatter plot with associated X and Y histograms with estimated densities. Partly a demonstration of the use of layout. Also includes lowess smooth or linear model slope, as well as correlation. Adapted from addicted to R example 78
scatter.hist(x,y=NULL,smooth=TRUE,ab=FALSE,correl=TRUE,density=TRUE,ellipse=TRUE, digits=2, method,cex.cor=1,title="Scatter plot + histograms",xlab=NULL,ylab=NULL,...)
x |
The X vector, or the first column of a data.frame or matrix. |
y |
The Y vector, of if X is a data.frame or matrix, the second column of X |
smooth |
if TRUE, then loess smooth it |
ab |
if TRUE, then show the best fitting linear fit |
correl |
TRUE: Show the correlation |
density |
TRUE: Show the estimated densities |
ellipse |
TRUE: draw 1 and 2 sigma ellipses and smooth |
digits |
How many digits to use if showing the correlation |
method |
Which method to use for correlation ("pearson","spearman","kendall") defaults to "pearson" |
cex.cor |
Adjustment for the size of the correlation |
xlab |
Label for the x axis |
ylab |
Label for the y axis |
title |
An optional title |
... |
Other parameters for graphics |
Just a straightforward application of layout and barplot, with some tricks taken from pairs.panels. The various options allow for correlation ellipses (1 and 2 sigma from the mean), lowess smooths, linear fits, density curves on the histograms, and the value of the correlation. ellipse = TRUE implies smooth = TRUE )
Adapted from Addicted to R example 78
William Revelle
pairs.panels for multiple plots, multi.hist for multiple histograms.
data(sat.act)
with(sat.act,scatter.hist(SATV,SATQ))
#or for something a bit more splashy
scatter.hist(sat.act[5:6],pch=(19+sat.act$gender),col=c("blue","red")[sat.act$gender])