eSet-class {Biobase} | R Documentation |
A second attempt at a universal definition of experimental data, combined with phenotypic data and in some cases probe data.
Objects can be created by calls of the form new("eSet", ...)
.
These objects are basically structured to provide a unified and
simplified set of methods for handling experimental data. This might be
gene expression data, array CGH data or SELD-TOF/MALDI-TOF data.
eList
:"exprList"
containing
the experimental data. phenoData
:"phenoData"
containing the phenotypic or sample level data.signature(x = "eSet")
: basic subsetting. It returns
an object of class eSet
. The first index subsets
experimental units while the second subsets samples. signature(x = "eSet", y = "eSet")
: a method
for merging two eSet
s. Substantial checking is carried out. signature(x = "eSet", y = "ANY")
: As above. signature(object = "eSet")
: a container for the
experimental data. This can accomodate multiple channels etc. signature(object = "eSet", value =
"exprList")
: An assignment function for exprList
s. signature(object = "eSet", value =
"environment")
: as abovesignature(object = "eSet", value = "list")
: as
above.signature(object = "eSet")
: extract the
experimental data. signature(object = "eSet", name =
"character")
: extract the experimental data.signature(object = "eSet")
: get the actual
data.frame
containing the phenotypic data. signature(object = "eSet")
: replace the actual
data.frame
containing the phenotypic data.signature(object = "eSet")
: extract the
phenoData object (data frame plus descriptions of the covariates). signature(object = "eSet", value =
"phenoData")
: a replacement method for the phenoData
object. signature(object = "eSet")
: a print method, to
control printing vast amounts of data. The data structures etc. were designed by a consensus view of Biocore.
Biocore
##---- Should be DIRECTLY executable !! ----