hist.data.frame

0th

Percentile

Histograms for Variables in a Data Frame

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.

Keywords
hplot, distribution, dplot
Usage
# S3 method for 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

See Also

hist, scat1d

Aliases
  • hist.data.frame
Examples
# NOT RUN {
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)
# }
Documentation reproduced from package Hmisc, version 4.0-3, License: GPL (>= 2)

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