hplot {Rlab} | R Documentation |
Plots a histogram in the same manner as hist
, but with the following changes:
freq = FALSE
by default, to print the density instead of the frequency and
nclass
specifies the exact number of bins to use (calculated by
equally seperating the distance between the min and max value to be graphed)
hplot(x, breaks = "Sturges", freq = FALSE, nclass = NULL, col = 8, ...)
x |
a vector of values for which the histogram is desired. |
breaks |
see hist for the use of this option. If both breaks and
nclass are specified, then breaks is ignored.
|
freq |
logical; if 'FALSE' (default), relative frequencies ("probabilities"), component 'density', are plotted; if 'TRUE', the histogram graphic is a representation of frequencies, the 'counts' component of the result. |
nclass |
numeric (integer); the number of bins for the histogram. If both breaks and
nclass are specified, then breaks is ignored.
|
col |
color of the histogram bars (8, the default, is grey). |
... |
Other arguments controlling the plot. Many graphical plotting
arguments may be used. See help on hist or plot
or par for more information.
|
hist, plot
# Create and graph some Normal data set.seed(100) set.panel(3,1) z<- rnorm(100) hplot(z, nclass=5, main="Standard Normal", xlim=c(-10,10), ylim=c(0,.4)) z<- rnorm(100, sd=2) hplot(z, nclass=10, main="Std Dev of 2", xlim=c(-10,10), ylim=c(0,.4)) z<- rnorm(100, sd=3) hplot(z, nclass=15, main="Std Dev of 3", xlim=c(-10,10), ylim=c(0,.4))