Description Objects from the Class Slots Extends Methods Author(s) See Also Examples
Class PreFilter allows to apply different filters to class ExprTreeSet,
i.e. to the expression level data.frame data.
Objects can be created by calls of the form new("PreFilter", ...).
Alternatively, the contructor PreFilter can be used.
mad:Object of class "list" describing parameters for madFilter.
cv:Object of class "list" describing parameters for cvFilter.
variance:Object of class "list" describing parameters for varFilter.
difference:Object of class "list" describing parameters for diffFilter.
ratio:Object of class "list" describing parameters for ratioFilter.
gap:Object of class "list" describing parameters for gapFilter.
hithreshold:Object of class "list" describing parameters for highFilter.
lothreshold:Object of class "list" describing parameters for lowFilter.
quantile:Object of class "list" describing parameters for quantileFilter.
prescall:Object of class "list" describing parameters for callFilter.
numfilters:Object of class "numeric" giving the number of filters applied.
Class "Filter", directly.
signature(object = "PreFilter"): extracts slot prescall.
signature(object = "PreFilter", value = "character"): replaces
slot prescall with character vector c(cutoff, samples, condition).
signature(object = "PreFilter"): extracts slot cv.
signature(object = "PreFilter", value = "numeric"): replaces
slot cv with numeric vector c(cutoff, trim, epsilon).
signature(object = "PreFilter"): extracts slot difference.
signature(object = "PreFilter", value = "numeric"): replaces
slot difference with numeric vector c(cutoff, trim, epsilon).
signature(object = "PreFilter"): extracts slot gap.
signature(object = "PreFilter", value = "numeric"): replaces
slot gap with numeric vector c(cutoff, window, trim, epsilon).
signature(object = "PreFilter"): extracts slot hithreshold.
signature(object = "PreFilter", value = "character"): replaces
slot hithreshold with character vector c(cutoff, parameter, condition).
signature(object = "PreFilter"): extracts slot lothreshold.
signature(object = "PreFilter", value = "character"): replaces
slot lothreshold with character vector c(cutoff, parameter, condition).
signature(object = "PreFilter"): extracts slot mad.
signature(object = "PreFilter", value = "numeric"): replaces
slot mad with numeric vector c(cutoff, epsilon).
signature(object = "PreFilter"): extracts slot quantile.
signature(object = "PreFilter", value = "numeric"): replaces
slot quantile with numeric vector c(cutoff, loquantile, hiquantile).
signature(object = "PreFilter"): extracts slot ratio.
signature(object = "PreFilter", value = "numeric"): replaces
slot ratio with numeric vector c(cutoff).
signature(object = "PreFilter"): extracts slot variance.
signature(object = "PreFilter", value = "numeric"): replaces
slot variance with numeric vector c(cutoff, trim, epsilon).
Christian Stratowa
related classes Filter, UniFilter.
1 2 3 4 5 6 7 8 9 10 11 12 13 | ## for demonstration purposes only: initialize all pre-filters
prefltr <- new("PreFilter")
madFilter(prefltr) <- c(0.5,0.01)
cvFilter(prefltr) <- c(0.3,0.0,0.01)
varFilter(prefltr) <- c(0.6,0.02,0.01)
diffFilter(prefltr) <- c(2.2,0.0,0.01)
ratioFilter(prefltr) <- c(1.5)
gapFilter(prefltr) <- c(0.3,0.05,0.0,0.01)
lowFilter(prefltr) <- c(4.0,3,"samples")
highFilter(prefltr) <- c(14.5,75.0,"percent")
quantileFilter(prefltr) <- c(3.0, 0.05, 0.95)
callFilter(prefltr) <- c(0.02,80.0,"percent")
str(prefltr)
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