s.kde2d {ade4}R Documentation

Scatter Plot with Kernel Density Estimate

Description

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

Value

The matched call.

Author(s)

Daniel Chessel

Examples

# 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)
}

Worked out examples


> library(ade4)
> ### Name: s.kde2d
> ### Title: Scatter Plot with Kernel Density Estimate
> ### Aliases: s.kde2d
> ### Keywords: multivariate hplot
> 
> ### ** Examples
> 
> # 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)
+ }
> 
> 
> 
> 

[Package ade4 Index]