### Accessor methods for LinearMResultBase class
## generic "annotation" defined in Biobase
setMethod("annotation", signature(object="LinearMResultBase"),
function(object) object@annotation)
setMethod("universeCounts", signature(r="LinearMResultBase"),
function(r) {
univ <- geneIdUniverse(r)
ans <- listLen(univ)
names(ans) <- names(univ)
ans
})
setMethod("universeMappedCount", signature(r="LinearMResultBase"),
function(r) length(unique(unlist(geneIdUniverse(r)))))
setMethod("geneMappedCount", signature(r="LinearMResultBase"),
function(r) length(geneIds(r)))
setMethod("geneIds", signature(object="LinearMResultBase"),
function(object, ...) object@geneIds)
setMethod("geneIdsByCategory", signature(r="LinearMResultBase"),
function(r, catids=NULL) {
ans <- geneIdUniverse(r)
if (!missing(catids) && !is.null(catids))
ans <- ans[catids]
lapply(ans, intersect, geneIds(r))
})
setMethod("sigCategories", signature(r="LinearMResultBase"),
function(r, p) {
if (missing(p))
p <- pvalueCutoff(r)
pv <- pvalues(r)
names(pv[pv < p])
})
setMethod("testName", signature(r="LinearMResultBase"),
function(r) r@testName)
setMethod("pvalueCutoff", signature(r="LinearMResultBase"),
function(r) r@pvalueCutoff)
setMethod("testDirection", signature(r="LinearMResultBase"),
function(r) r@testDirection)
setMethod("description",
signature(object="LinearMResultBase"),
function(object) {
cond <- "Conditional"
if (!conditional(object))
cond <- ""
desc <- paste("Gene to %s ", cond, " test for %s-regulation", sep = "")
desc <- sprintf(desc, paste(testName(object), collapse=" "),
testDirection(object))
desc
})
setMethod("conditional", "LinearMResultBase",
function(r) {
if (!("conditional" %in% slotNames(r)))
FALSE
else
r@conditional
})
setMethod("geneIdUniverse", signature(r="LinearMResultBase"),
function(r, cond=TRUE) {
im <- addHierarchyToIncidenceMatrix(incidence(r@gsc), r@graph)
split(colnames(im)[col(im)[as.logical(im)]],
factor(rownames(im)[row(im)[as.logical(im)]], nodes(r@graph)))
})
### Accessor methods for LinearMResult class
setMethod("pvalues", signature(r="LinearMResult"),
function(r) r@pvalues)
setMethod("effectSize", signature(r="LinearMResult"),
function(r) r@effectSize)
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