Hmisc (version 3.0-1)

hist.data.frame: Histograms for Variables in a Data Frame

Description

This functions tries to compute the maximum number of histograms that will fit on one page, then it draws a matrix of histograms. If there are more qualifying variables than will fit on a page, the function waits for a mouse click before drawing the next page.

Usage

## S3 method for class 'data.frame':
hist(x, n.unique = 3, nclass = "compute",
                na.big = FALSE, rugs = FALSE, mtitl = FALSE, ...)
# For S-Plus you must use hist.data.frame( ) as hist is not generic there

Arguments

x

a data frame

n.unique

minimum number of unique values a variable must have before a histogram is drawn

nclass

number of bins. Default is max(2,trunc(min(n/10,25*log(n,10))/2)), where n is the number of non-missing values for a variable.

na.big

set to TRUE to draw the number of missing values on the top of the histogram in addition to in a subtitle. In the subtitle, n is the number of non-missing values and m is the number of missing values

rugs

set to TRUE to add rug plots at the top of each histogram

mtitl

set to a character string to set aside extra outside top margin and to use the string for an overall title

...

arguments passed to scat1d

Value

• the number of pages drawn

See Also

hist, scat1d

Examples

d <- data.frame(a=runif(200), b=rnorm(200),
                w=factor(sample(c('green','red','blue'), 200, TRUE)))
hist.data.frame(d)   # in R, just say hist(d)

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