biv.test  R Documentation 
biv.plot
displays a bivariate plot.
biv.test
displays the results of a bivariate randomisation test.
biv.plot(dfxy, br = 10, points = TRUE, density = TRUE,
kernel = TRUE, o.include = FALSE, pch, cex, col, h, sub,
side = c("top", "bottom", "none"), ...)
biv.test(dfxy, point, br = 10, points = TRUE, density = TRUE,
kernel = TRUE, o.include = FALSE, pch, cex, col, Pcol, h, sub,
side = c("top", "bottom", "none"), ...)
dfxy 
a data frame with N lines (couples of values) and two columns 
br 
a parameter used to define the numbers of breaks of the histograms. A larger value leads to a larger number of breaks 
points 
logical. Whether the points should be displayed 
density 
logical. Whether the kernel density estimation should be displayed for the marginal histograms 
kernel 
logical. Whether the kernel density estimation should be displayed for the bivariate plot 
o.include 
logical. If 
pch 
plotting "character", i.e., symbol to use for the points. (see

cex 
character expansion for the points 
col 
color code or name for the points, see 
h 
vector of bandwidths for x and y directions, used in the
function 
sub 
a character string to be inserted in the plot as a title 
side 
if 
point 
a vector of length 2, representing the observation to be compared with the simulated values of the randomisation test 
Pcol 
color code or name for the observed point 
... 
further arguments passed to or from other methods 
biv.test
is used to display the results of a bivariate
randomisation test. An example of use of the function is provided in
the function niche.test
.
The xaxis of the main window corresponds to the first column of
dfxy
; the yaxis corresponds to the second column. Kernel
density is estimated to indicate the contours of the distribution of
randomised values. The two marginal histograms correspond to the
univariate tests on each axis, for which the pvalues are computed with
as.randtest
(package ade4, onesided tests).
biv.plot
and biv.test
use the function kde2d
of the
package MASS
.
Mathieu Basille basille@aseresearch.org
as.randtest
(package ade4)
x = rnorm(1000,2)
y = 2*x+rnorm(1000,2)
dfxy = data.frame(x, y)
biv.plot(dfxy)
biv.plot(dfxy, points=FALSE, col="lightblue", br=20)
p = c(3, 4)
biv.test(dfxy, p)
biv.test(dfxy, p, points=FALSE, Pcol="darkred", col="lightblue", br=20)
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