| 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 eSets. 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 exprLists. 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
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