Usage
xhistogram(x, data = NULL, panel = panel.xhistogram,
type = "density", center = NULL, width = NULL, breaks,
nint, ...) xhistogramBreaks(x, center = NULL, width = NULL, nint)
panel.xhistogram(x,
dcol = trellis.par.get("plot.line")$col, dlwd = 2,
gcol = trellis.par.get("add.line")$col, glwd = 2,
fcol = trellis.par.get("superpose.polygon")$col,
dmath = dnorm, verbose = FALSE, dn = 100, args = NULL,
labels = FALSE, density = FALSE, fit = NULL,
start = NULL, type = "density", v, h, groups = NULL,
center = NULL, width = NULL, breaks,
nint = round(1.5 * log2(length(x)) + 1),
stripes = c("vertical", "horizontal", "none"),
alpha = 1, ...)
Arguments
x
a formula or a numeric vector
data
a data frame in which to evaluate x
type
one of 'density'
, 'count'
, or
'percent'
nint
approximate number of bins
breaks
break points for histogram bins, a function
for computing such, or a method hist
knows
about given as a character string. If missing,
xhistogramBreak
dcol
color of density curve
fcol
fill color for histogram rectangles
dmath
density function for density curve overlay
dn
number of points to sample from density curve
dlwd,glwd
like lwd
but affecting the
density line and guide lines, respectively
args
a list of additional arguments for
dmath
labels
should counts/densities/precents be
displayed or each bin?
fit
a character string describing the distribution
to fit. Known distributions include
"exponential"
, "normal"
, "lognormal"
, "poisson"
, "beta"
, "geometric"
,
"t"
,
center
center of one of the bins
stripes
one of "vertical"
,
"horizontal"
, or "none"
, indicating how
bins should be striped when groups
is not
NULL
h,v
a vector of values for additional horizontal
and vertical lines