s.kde2d {ade4} | R Documentation |
performs a scatter of points without labels by a kernel Density Estimation in One or Two Dimensions
s.kde2d(dfxy, xax = 1, yax = 2, pch = 20, cpoint = 1, neig = NULL, cneig = 2, xlim = NULL, ylim = NULL, grid = TRUE, addaxes = TRUE, cgrid = 1, include.origin = TRUE, origin = c(0, 0), sub = "", csub = 1.25, possub = "bottomleft", pixmap = NULL, contour = NULL, area = NULL, add.plot = FALSE)
dfxy |
a data frame with at least two coordinates |
xax |
the column number for the x-axis |
yax |
the column number for the y-axis |
pch |
if cpoint > 0, an integer specifying the symbol or the
single character to be used in plotting points |
cpoint |
a character size for plotting the points, used with
par("cex")*cpoint . If zero, no points are drawn |
neig |
a neighbouring graph |
cneig |
a size for the neighbouring graph lines used with
par("lwd")*cneig |
xlim |
the ranges to be encompassed by the x axis, if NULL, they are computed |
ylim |
the ranges to be encompassed by the y axis, if NULL, they are computed |
grid |
a logical value indicating whether a grid in the background of the plot should be drawn |
addaxes |
a logical value indicating whether the axes should be plotted |
cgrid |
a character size, parameter used with par("cex")* 'cgrid' to indicate the mesh of the grid |
include.origin |
a logical value indicating whether the point "origin" should be belonged to the graph space |
origin |
the fixed point in the graph space, for example c(0,0) the origin axes |
sub |
a string of characters to be inserted as legend |
csub |
a character size for the legend, used with par("cex")*csub |
possub |
a string of characters indicating the sub-title position ("topleft", "topright", "bottomleft", "bottomright") |
pixmap |
an object pixmap displayed in the map background |
contour |
a data frame with 4 columns to plot the contour of the map : each row gives a segment (x1,y1,x2,y2) |
area |
a data frame of class 'area' to plot a set of surface units in contour |
add.plot |
if TRUE uses the current graphics window |
Daniel Chessel chessel@biomserv.univ-lyon1.fr
# To recognize groups of points data(casitas) casitas.fuz = fuzzygenet(casitas) casitas.pop <- as.factor(rep(c("dome", "cast", "musc", "casi"), c(24,11,9,30))) casitas.pca = dudi.pca(casitas.fuz, scannf = FALSE, scale = FALSE) if (require(MASS, quiet=TRUE)) {s.kde2d(casitas.pca$li) s.class(casitas.pca$li,casitas.pop, cell = 0, add.p = TRUE) }