Scatter Plot with Kernel Density Estimate
s.kde2d.Rd
performs a scatter of points without labels by a kernel Density Estimation in One or Two Dimensions
Usage
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)
Arguments
- 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
Examples
# To recognize groups of points
if(!adegraphicsLoaded()) {
data(rpjdl)
coa1 <- dudi.coa(rpjdl$fau, scannf = FALSE, nf = 3)
s.kde2d(coa1$li)
}