hist {base} | R Documentation |
Histograms
Description
The generic function hist
computes and plots (if plot=T
) a
histogram of the given data values.
Usage
hist(x, ...)
hist.default(x, breaks, freq = NULL, probability = !freq,
include.lowest = TRUE, right = TRUE,
col = NULL, border = par("fg"),
main = paste("Histogram of", deparse(substitute(x))),
xlim = range(breaks), ylim = range(counts, 0),
xlab = deparse(substitute(x)), ylab,
axes = TRUE, plot = TRUE, labels = FALSE,
nclass = NULL, ...)
Arguments
x |
a vector of values for which the histogram is desired. |
breaks |
either a single number giving the approximate number of cells for the histogram or a vector giving the breakpoints between histogram cells. |
freq |
logical; if |
probability |
an alias for |
include.lowest |
logical; if |
right |
logical; if |
col |
a colour to be used to fill the bars.
The default of |
border |
the color of the border around the bars. |
main , xlab , ylab |
these arguments to |
xlim , ylim |
the range of x and y values with sensible defaults. |
plot |
logical. If |
labels |
logical. Additionally draw labels on top of bars,
if |
nclass |
numeric (integer). For S compatibility only,
|
... |
further graphical parameters to |
Details
If right = TRUE
(default), the histogram cells are intervals
of the form (a,b]
, i.e. they include their right-hand endpoint,
but not their left one, with the exception of the first cell when
include.lowest
is TRUE
.
For right = FALSE
, the intervals are of the form [a,b)
,
and include.lowest
really has the meaning of
“include highest”.
Value
a list with components:
breaks |
the |
counts |
|
intensities |
values |
mids |
the |
Note
The resulting value does not depend on the values of
the arguments freq
(or probability
)
or plot
. This is intentionally different from S.
See Also
stem
, density
.
Examples
data(islands)
op <- par(mfrow=c(2,2))
hist(islands)
str(hist(islands, col="gray", labels = TRUE))
hist(sqrt(islands), br = 12, col="lightblue", border="pink")
##-- For non-equidistant breaks, counts should NOT be graphed unscaled:
r <- hist(sqrt(islands), br = c(4* 0:5,10* 3:5,70,100,140), col='blue1')
text(r$mids, r$intensities, r$counts, adj=c(.5,-.5), col='blue3')
sapply(r[2:3],sum)
sum(r$intensities * diff(r$breaks)) # == 1
par(op)
str(hist(islands, plot= F))
str(hist(islands, br=12, plot= F))
str(hist(islands, br=c(12,20,36,80,200,1000,17000), plot = F))
str(hist(islands, br=c(12,20,36,80,200,1000,17000), freq = TRUE))#warning