avereps {limma} | R Documentation |
Condense a microarray data object so that values for within-array replicate probes are replaced with their average.
## Default S3 method: avereps(x, ID=rownames(x), ...) ## S3 method for class 'MAList' avereps(x, ID=NULL, ...) ## S3 method for class 'EList' avereps(x, ID=NULL, ...)
x |
a matrix-like object, usually a matrix, |
ID |
probe identifier. |
... |
other arguments are not currently used. |
A new data object is computed in which each probe ID is represented by the average of its replicate spots or features.
For an MAList
object, the components M
and A
are both averaged in this way, as are weights
and any matrices found in object$other
.
For an MAList
object, ID
defaults to MA$genes$ID
is that exists, otherwise to rownames(MA$M)
.
EList
objects are similar, except that the E
component is averaged instead of M
and A
.
If x
is of mode "character"
, then the replicate values are assumed to be equal and the first is taken as the average.
A data object of the same class as x
with a row for each unique value of ID
.
This function should only be applied to normalized log-expression values, and not to raw unlogged expression values.
It will generate an error message if applied to RGList
or EListRaw
objects.
Gordon Smyth
avedups
, avearrays
. Also rowsum
in the base package.
02.Classes gives an overview of data classes used in LIMMA.
x <- matrix(rnorm(8*3),8,3) colnames(x) <- c("S1","S2","S3") rownames(x) <- c("b","a","a","c","c","b","b","b") avereps(x)