virtualArrayBuildSampleInfo: Build data.frame suitable as "pData" for several...
In virtualArray: Build virtual array from different microarray platforms

Description Usage Arguments Details Value Author(s) See Also Examples

A data.frame is created that holds the sample names and names of the ExpressionSets of the supplied list of ExpressionSets.

1	virtualArrayBuildSampleInfo(x)

`x`	A list of ExpressionSets. Each entry must be represented by a character vector.

This function is normally only called by "virtualArray.ExpressionSet".

A data.frame is returned. It consists of the columns "Array.name", "Sample.name", "Batch" and "Covariate.1". The "Batch" column represents the name of the originating ExpressionSet. The column "Covariate.1" is only a dummy holding running numbers, one for each sample. It has to be edited and filled with meaningful information when "virtualArray" is run in supervised mode. Finally the "sample_info" data.frame can be used to fill the "pData" slot for a merged ExpressionSet derived from several ones.

Andreas Heider (2011)

virtualArray-package, virtualArray.ExpressionSet, virtualArrayCompile

## first we need to load dummy data
library(affydata)
data(Dilution)
data(sample.ExpressionSet)
## we apply RMA to get an ExpressionSet
Dilution <- rma(Dilution,normalize=FALSE)
## we store the names of the ExpressionSets in a list
all_ExpressionSets <- list("Dilution","sample.ExpressionSet")
## now we generate a new data.frame suitable for "pData"
virtualArrayBuildSampleInfo(all_ExpressionSets)