Hmisc: hist.data.frame – R documentation

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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, freq=TRUE, mtitl = FALSE, ...)

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
`freq`	see `hist`. Default is to show frequencies.
`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

Author(s)

Frank E Harrell Jr

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)

Hmisc

Harrell Miscellaneous

v4.5-0

GPL (>= 2)

Authors

Frank E Harrell Jr <fh@fharrell.com>, with contributions from Charles Dupont and many others.

Initial release

2021-02-27