pairwise.logfc {MKomics} | R Documentation |
Compute pairwise log-fold changes
Description
The function computes pairwise log-fold changes.
Usage
pairwise.logfc(x, g, ave = mean, log = TRUE, base = 2, ...)
Arguments
x |
numeric vector. |
g |
grouping vector or factor |
ave |
function to compute the group averages. |
log |
logical. Is the data logarithmic? |
base |
If |
... |
optional arguments to |
Details
The function computes pairwise log-fold changes between groups, where
the group values are aggregated using the function which is
given by the argument ave
.
The implementation is in certain aspects analogously to pairwise.t.test
.
Value
Vector with pairwise log-fold changes.
Author(s)
Matthias Kohl Matthias.Kohl@stamats.de
See Also
Examples
set.seed(13)
x <- rnorm(100) ## assumed as log2-data
g <- factor(sample(1:4, 100, replace = TRUE))
levels(g) <- c("a", "b", "c", "d")
pairwise.logfc(x, g)
## some small checks
res <- by(x, list(g), mean)
res[[1]] - res[[2]] # a vs. b
res[[1]] - res[[3]] # a vs. c
res[[1]] - res[[4]] # a vs. d
res[[2]] - res[[3]] # b vs. c
res[[2]] - res[[4]] # b vs. d
res[[3]] - res[[4]] # c vs. d
[Package MKomics version 0.7 Index]