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
AUTHOR(S):
Frank E Harrell Jr
SEE ALSO:
,
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)