Description Usage Arguments Value See Also Examples
Pairwise application of a function to the columns of a matrix/data.frame or elements of a list
1 |
x |
a matrix or data.frame |
FUN |
any function that takes two vectors as input and returs a single value |
... |
further arguments passed to FUN |
comm |
logical; is FUN commutative? If true, only the lower triangle, including the diagonal, is computed |
An n×n square matrix with n the number of columns
of x
.
similarity
for a few more examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | dtf <- data.frame(aa=c(1, 1, 2, 2, 3, 2, 4),
bb=c(1, 1, 2, 3, 3, 3, 4),
cc=c(3, 3, 2, 1, 1, 1, 1),
dd=c(1, 2, 2, 2, 1, 1, 2))
# Root Mean Square Deviation
pairwise(dtf, function(x, y) sqrt(mean((x-y)^2)))
# using with cor.test() to accompany cor()
pv <- pairwise(dtf, function(x, y) cor.test(x, y)$p.val)
pvn <- 6^(1.1-pv)-5
pvn[pvn<1] <- 1
set_mar(1, 1, 1, 1)
plot(0, xlim=c(0.5, 4.5), ylim=c(0.5, 4.5), cex=0, ann=FALSE, xaxt="n", yaxt="n")
text(rep(1:4, 4), rep(4:1, each=4), t(round(cor(dtf), 2)), cex=pvn,
col=c("black", "darkgrey")[(pv>0.1)+1])
|
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