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.
# S3 method for data.frame
hist(x, n.unique = 3, nclass = "compute",
na.big = FALSE, rugs = FALSE, freq=TRUE, mtitl = FALSE, ...)
a data frame
minimum number of unique values a variable must have before a histogram is drawn
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.
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
set to TRUE
to add rug plots at the top of each
histogram
see hist
. Default is to show frequencies.
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
the number of pages drawn
# 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)
# }
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