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xps (version 1.32.0)

prefilter: Function for Applying a PreFilter to an ExprTreeSet

Description

This function applies a PreFilter to an ExprTreeSet.

Usage

prefilter(xps.expr, filename  = character(0), filedir  = getwd(), filter  = NULL, minfilters = 999, logbase  = "log2", treename  = "PreFilter", xps.call  = NULL, verbose  = TRUE)
xpsPreFilter(object, ...)

Arguments

xps.expr
object of class ExprTreeSet.
filename
file name of ROOT filter file.
filedir
system directory where ROOT filter file should be stored.
filter
object of class PreFilter.
minfilters
minimum number of initialized filter methods to satisfy (default is all filters).
logbase
convert data to logarithm of base: "0", "log", "log2" (default), "log10"
treename
tree name to be used in ROOT filter file.
xps.call
optional object of class CallTreeSet.
verbose
logical, if TRUE print status information.
object
object of class ExprTreeSet.
...
same arguments as function prefilter.

Value

A FilterTreeSet

Details

This function applies the different filters initialized with constructor PreFilter to the ExprTreeSet xps.expr.

Slot minfilters determines the minimum number of initialized filters, which must be satisfied so that the mask is set to flag=1. For minfilters=1 at least one filter must be satisfied, equivalent to logical ‘OR’; for minfilters=999 all filters must be satisfied, equivalent to logical ‘AND’.

If method callFilter was initialized with constructor PreFilter then CallTreeSet xps.call must be supplied, usually created with function mas5.call.

See Also

PreFilter, unifilter

Examples

Run this code
## Not run: 
# ## first, load ROOT scheme file and ROOT data file
# scheme.test3 <- root.scheme(paste(path.package("xps"),"schemes/SchemeTest3.root",sep="/"))
# data.test3 <- root.data(scheme.test3, paste(path.package("xps"),"rootdata/DataTest3_cel.root",sep="/"))
# 
# ## second, create an ExprTreeSet
# data.rma <- rma(data.test3,"tmp_TestRMA",tmpdir="",background="pmonly",normalize=TRUE,verbose=FALSE)
# ## note: do not copy/paste this code, it is necessary only because R CMD check fails since it does not find tmp_TestRMA.root:
# data.rma@rootfile <- paste(path.package("xps"),"rootdata/tmp_Test3RMA.root",sep="/")
# data.rma@filedir  <- paste(path.package("xps"),"rootdata",sep="/")
# 
# ## third, construct a PreFilter
# prefltr <- PreFilter(mad=c(0.5,0.01),lothreshold=c(6.0,0.02,"mean"),hithreshold=c(10.5,80.0,"percent"))
# 
# ## finally, create a FilterTreeSet
# rma.pfr <- prefilter(data.rma,"tmp_Test3Prefilter",getwd(),prefltr,2,verbose=FALSE)
# str(rma.pfr)
# ## End(Not run)

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