colpairs {gclus} | R Documentation |
Applies a function to all pairs of columns
Description
Given an nxp matrix m
and a function f
,
returns the pxp matrix got by applying f
to all pairs of columns of m
.
Usage
colpairs(m, f, diag = 0, na.omit = FALSE, ...)
Arguments
m |
a matrix |
f |
a function of two vectors, which returns a single result. |
diag |
if supplied, this value is placed on the diagonal of the result. |
na.omit |
If |
... |
argments are passed to |
Value
a matrix matrix got by applying f
to all pairs of columns of m
.
Author(s)
Catherine B. Hurley
See Also
gave
, partition.crit
,
order.single
,order.endlink
Examples
data(state)
state.m <- colpairs(state.x77,
function(x,y) cor.test(x,y,"two.sided","kendall")$estimate, diag=1)
state.col <- dmat.color(state.m)
# This is equivalent to state.m <- cor(state.x77,method="kendall")
layout(matrix(1:2,nrow=1,ncol=2))
cparcoord(state.x77, panel.color= state.col)
# Get rid of the panels with lots of line crossings (yellow) by reorderings
cparcoord(state.x77, order.endlink(state.m), state.col)
layout(matrix(1,1))
# m is a homogeneity measure of each pairwise variable plot
m <- -colpairs(scale(state.x77), gave)
o<- order.single(m)
pcols = dmat.color(m)
# Color panels by level of m and reorder variables so that
# pairs with high m are near the diagonal.
cpairs(state.x77,order=o, panel.colors=pcols)
# In this case panels showing either of Area or Population
# exhibit the most clumpiness because these variables
# are skewed.
[Package gclus version 1.3.2 Index]