The ade4 Package - NexTag Supports Open Source Initiatives

12 add.scatter
Usage
data(acacia)
Format
acacia is a data frame with 15 variables :
se.T1, se.T2, se.T3, se.T4, se.T5 are five numeric vectors containing quadrats counts of seedlings
from transects 1 to 5 respectively;
sm.T1, sm.T2, sm.T3, sm.T4, sm.T5 are five numeric vectors containing quadrats counts of small
trees (crown < 1 m 2 in canopy) of transects 1 to 5 respectively;
la.T1, la.T2, la.T3, la.T4, la.T5 are five numeric vectors containing quadrats counts of trees with
large crown (crown > 1 m 2 in canopy) of transects 1 to 5 respectively.
Source
Greig-Smith, P. and Chadwick, M.J. (1965) Data on pattern within plant communities. III. Acacia-
Capparis semi-desert scrub in the Sudan. Journal of Ecology, 53, 465–474.
References
Hill, M.O. (1973) The intensity of spatial pattern in plant communities. Journal of Ecology, 61,
225–235.
Examples
data(acacia)
par(mfcol = c(5,3))
par(mar = c(2,2,2,2))
for(k in 1:15) {
barplot(acacia[,k], ylim = c(0,20), col = grey(0.8))
scatterutil.sub(names(acacia)[k], 1.5, "topleft")
}
par(mfcol = c(1,1))
add.scatter
Add graphics to an existing plot
Description
add.scatter is a function which defines a new plot area within an existing plot and displays
an additional graphicinside this area. The additional graphic is determined by a function which is
the first argument taken by add.scatter. It can be used in various ways, for instance to add a
screeplot to an ordination scatterplot (add.scatter.eig).
The function add.scatter.eig uses the following colors: black (represented axes), grey(axes
retained in the analysis) and white (others).