\name{multi.hist} \alias{multi.hist} \alias{histo.density} \alias{histBy} \title{ Multiple histograms with density and normal fits on one page} \description{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. } \usage{multi.hist(x,nrow=NULL,ncol=NULL,density=TRUE,freq=FALSE,bcol="white", dcol=c("black","black"),dlty=c("dashed","dotted"), main=NULL,mar=c(2,1,1,1),breaks=21,global=TRUE,...) histBy(x,var,group,data=NULL,density=TRUE,alpha=.5,breaks=21,col,xlab, main="Histograms by group",freq=FALSE,...) } \arguments{ \item{x}{ matrix or data.frame} \item{var}{The variable in x to plot in histBy} \item{group}{The name of the variable in x to use as the grouping variable} \item{data}{Needs to be specified if using formula input to histBy} \item{nrow}{number of rows in the plot} \item{ncol}{number of columns in the plot} \item{density}{density=TRUE, show the normal fits and density distributions} \item{freq}{freq=FALSE shows probability densities and density distribution, freq=TRUE shows frequencies} \item{bcol}{Color for the bars} \item{dcol}{The color(s) for the normal and the density fits. Defaults to black. } \item{dlty}{The line type (lty) of the normal and density fits. (specify the optional graphic parameter lwd to change the line size)} \item{main}{title for each panel will be set to the column name unless specified} \item{mar}{Specify the lower, left, upper and right hand side margin in lines -- set to be tighter than normal default of c(5,4,4,2) + .1 } \item{xlab}{Label for the x variable} \item{breaks}{The number of breaks in histBy (see hist)} \item{global}{If TRUE, use the same x-axis for all plots} \item{alpha}{The degree of transparency of the overlapping bars in histBy} \item{col}{A vector of colors in histBy (defaults to the rainbow)} \item{...}{additional graphic parameters (e.g., col)} } \details{This allows for quick summaries of multiple distributions. Particularly useful when examining the results of multiple-split halves that come from the \code{\link{reliability}} function. By default, will try to make a square plot with equal number of rows and columns. However, the number of columns and rows may be specified for a particular plot. } \author{ William Revelle } \seealso{ \code{\link{bi.bars}} for drawing pairwise histograms and \code{\link{scatterHist}} for bivariate scatter and histograms. \code{\link{densityBy}}, \code{\link{violinBy}} and \code{\link{violin}} for density plots.} \examples{ 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) histBy(sat.act,"SATQ","gender") #input by variable names histBy(SATQ~ gender, data=sat.act) #formula input } \keyword{ multivariate }% at least one, from doc/KEYWORDS \keyword{ hplot }% __ONLY ONE__ keyword per line