Description Usage Arguments Details Aesthetics Computed variables See Also Examples
A kernel density estimate, useful for displaying the distribution of variables with underlying smoothness.
1 2 3 4 5 6 7 8  geom_bkde(mapping = NULL, data = NULL, stat = "bkde",
position = "identity", bandwidth = NULL, range.x = NULL,
na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, ...)
stat_bkde(mapping = NULL, data = NULL, geom = "area",
position = "stack", kernel = "normal", canonical = FALSE,
bandwidth = NULL, gridsize = 410, range.x = NULL, truncate = TRUE,
na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, ...)

mapping 
Set of aesthetic mappings created by 
data 
The data to be displayed in this layer. There are three options: If A A 
position 
Position adjustment, either as a string, or the result of a call to a position adjustment function. 
bandwidth 
the kernel bandwidth smoothing parameter. see

range.x 
vector containing the minimum and maximum values of x at which
to compute the estimate. see 
na.rm 
If 
show.legend 
logical. Should this layer be included in the legends?

inherit.aes 
If 
... 
other arguments passed on to 
geom, stat 
Use to override the default connection between

kernel 
character string which determines the smoothing kernel. see

canonical 
logical flag: if TRUE, canonically scaled kernels are used.
see 
gridsize 
the number of equally spaced points at which to estimate the
density. see 
truncate 
logical flag: if TRUE, data with x values outside the range
specified by range.x are ignored. see 
A sample of the output from geom_bkde()
:
geom_bkde
understands the following aesthetics (required aesthetics
are in bold):
x
y
alpha
color
fill
linetype
size
density estimate
density * number of points  useful for stacked density plots
density estimate, scaled to maximum of 1
See geom_histogram
, geom_freqpoly
for
other methods of displaying continuous distribution.
See geom_violin
for a compact density display.
1 2 3 4 5 6 7 8 9 10 11 12 13 
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