s1d.density {adegraphics}  R Documentation 
This function represents a score with a density curve for each level of a factor.
s1d.density(score, fac = gl(1, NROW(score)), kernel = c("normal", "box", "epanech", "biweight", "triweight"), bandwidth = NULL, gridsize = 450, col = NULL, fill = TRUE, facets = NULL, plot = TRUE, storeData = TRUE, add = FALSE, pos = 1, ...)
score 
a numeric vector (or a data frame) used to produce the plot 
fac 
a factor (or a matrix of factors) to split 
kernel 
the smoothing kernel used, see 
bandwidth 
the kernel bandwidth smoothing parameter 
gridsize 
the number of equally spaced points at which to estimate the density 
col 
a logical, a color or a colors vector for labels, rugs, lines and polygons according to their factor level. Colors are recycled whether there are not one color by factor level. 
fill 
a logical to yield the polygons density curves filled 
facets 
a factor splitting 
plot 
a logical indicating if the graphics is displayed 
storeData 
a logical indicating if the data are stored in
the returned object. If 
add 
a logical. If 
pos 
an integer indicating the position of the
environment where the data are stored, relative to the environment
where the function is called. Useful only if 
... 
additional graphical parameters (see

kernel
, bandwidth
and gridsize
are passed as parameters to bkde
function of the KernSmooth
package.
Graphical parameters for rugs are available in plines
of adegpar
and the ones for density curves filled in ppolygons
.
Some appropriated graphical parameters in p1d
are also available.
An object of class ADEg
(subclass C1.density
) or ADEgS
(if add
is TRUE
and/or
if facets or data frame for score
or data frame for fac
are used).
The result is displayed if plot
is TRUE
.
Alice JulienLaferriere, Aurelie Siberchicot aurelie.siberchicot@univlyon1.fr and Stephane Dray
score < c(rnorm(1000, mean = 0.5, sd = 0.5), rnorm(1000, mean = 1)) fac < rep(c("A", "B"), each = 1000) s1d.density(score, fac, col = c(2, 4), p1d.reverse = TRUE)