Average Over Replicate Arrays
Condense a microarray data object so that technical replicate arrays are replaced with (weighted) averages.
## Default S3 method: avearrays(x, ID=colnames(x), weights=NULL) ## S3 method for class 'MAList' avearrays(x, ID=colnames(x), weights=x$weights) ## S3 method for class 'EList' avearrays(x, ID=colnames(x), weights=x$weights)
x |
a matrix-like object, usually a matrix, |
ID |
sample identifier. |
weights |
numeric matrix of non-negative weights |
A new data object is computed in which technical replicate arrays are replaced by their (weighted) averages.
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.
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 column for each unique value of ID.
Gordon Smyth
02.Classes gives an overview of data classes used in LIMMA.
x <- matrix(rnorm(8*3),8,3)
colnames(x) <- c("a","a","b")
avearrays(x)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.