| multi.hist {psych} | R Documentation |
Given a matrix or data.frame, produce histograms for each variable in a "matrix" form. Include normal fits and density distributions for each plot.
The number of rows and columns may be specified, or calculated.
May be used for single variables.
multi.hist(x,nrow=NULL,ncol=NULL,density=TRUE,freq=FALSE,bcol="white",
dcol=c("black","black"),dlty=c("dashed","dotted"),
main="Histogram, Density, and Normal Fit",...)
x |
matrix or data.frame |
nrow |
number of rows in the plot |
ncol |
number of columns in the plot |
density |
density=TRUE, show the normal fits and density distributions |
freq |
freq=FALSE shows probability densities and density distribution, freq=TRUE shows frequencies |
bcol |
Color for the bars |
dcol |
The color(s) for the normal and the density fits. Defaults to black. |
dlty |
The line type (lty) of the normal and density fits. (specify the optional graphic parameter lwd to change the line size) |
main |
title for each panel |
... |
additional graphic parameters (e.g., col) |
William Revelle
bi.bars for drawing pairwise histograms
multi.hist(sat.act)
multi.hist(sat.act,bcol="red")
multi.hist(sat.act,dcol="blue") #make both lines blue
multi.hist(sat.act,dcol= c("blue","red"),dlty=c("dotted", "solid"))
multi.hist(sat.act,freq=TRUE) #show the frequency plot
multi.hist(sat.act,nrow=2)