sweep | R Documentation |
Return an array obtained from an input array by sweeping out a summary statistic.
sweep(x, MARGIN, STATS, FUN = "-", check.margin = TRUE, ...)
x |
an array, including a matrix. |
MARGIN |
a vector of indices giving the extent(s) of |
STATS |
the summary statistic which is to be swept out. |
FUN |
the function to be used to carry out the sweep. |
check.margin |
logical. If |
... |
optional arguments to |
FUN
is found by a call to match.fun
. As in the
default, binary operators can be supplied if quoted or backquoted.
FUN
should be a function of two arguments: it will be called
with arguments x
and an array of the same dimensions generated
from STATS
by aperm
.
The consistency check among STATS
, MARGIN
and x
is stricter if STATS
is an array than if it is a vector.
In the vector case, some kinds of recycling are allowed without a
warning. Use sweep(x, MARGIN, as.array(STATS))
if STATS
is a vector and you want to be warned if any recycling occurs.
An array with the same shape as x
, but with the summary
statistics swept out.
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
apply
on which sweep
used to be based;
scale
for centering and scaling.
require(stats) # for median med.att <- apply(attitude, 2, median) sweep(data.matrix(attitude), 2, med.att) # subtract the column medians ## More sweeping: A <- array(1:24, dim = 4:2) ## no warnings in normal use sweep(A, 1, 5) (A.min <- apply(A, 1, min)) # == 1:4 sweep(A, 1, A.min) sweep(A, 1:2, apply(A, 1:2, median)) ## warnings when mismatch sweep(A, 1, 1:3) # STATS does not recycle sweep(A, 1, 6:1) # STATS is longer ## exact recycling: sweep(A, 1, 1:2) # no warning sweep(A, 1, as.array(1:2)) # warning ## Using named dimnames dimnames(A) <- list(fee=1:4, fie=1:3, fum=1:2) mn_fum_fie <- apply(A, c("fum", "fie"), mean) mn_fum_fie sweep(A, c("fum", "fie"), mn_fum_fie)
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