Nothing
#==============================================================================#
# mas4.R:
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# mas4: MAS4 preprocessing
#==============================================================================#
"mas4" <-
function(xps.data,
filename = character(0),
filedir = getwd(),
tmpdir = "",
normalize = FALSE,
sc = 500,
option = "transcript",
exonlevel = "",
update = FALSE,
xps.scheme = NULL,
add.data = TRUE,
verbose = TRUE)
{
## check for valid normalize
if (!is.logical(normalize)) {
stop(paste(sQuote("normalize"), "must be TRUE or FALSE"));
}#if
## check for valid update
if (!is.logical(update)) {
stop(paste(sQuote("update"), "must be TRUE or FALSE"));
}#if
if (update == TRUE) {
tmpname <- filename;
} else {
tmpname <- paste(filename, "_adf", sep="");
}#if
## new class containing MAS5 preprocessed data
if (is(xps.data, "DataTreeSet")) {
set <- xpsMAS4(xps.data,
filename = tmpname,
filedir = filedir,
tmpdir = tmpdir,
option = option,
exonlevel = exonlevel,
xps.scheme = xps.scheme,
add.data = add.data,
verbose = verbose);
} else {
stop(paste(sQuote("xps.data"), "is not a class", sQuote("DataTreeSet")));
}#if
## normalize MAS4 data using trimmed mean
if (normalize) {
## check for valid sc
if (!is.numeric(sc)) {
stop(paste("parameter", sQuote("sc"), "must be numeric"));
}#if
## new class containing scaled MAS5 data
set <- xpsNormalize(set,
filename = filename,
filedir = filedir,
tmpdir = tmpdir,
update = update,
select = "separate",
method = "mean",
logbase = "0",
#old option = "all",
option = paste(option, "all", sep=":"),
exonlevel = exonlevel,
refindex = 1,
refmethod = "mean",
params = c(0.02, sc),
add.data = add.data,
verbose = verbose);
}#if
return(set);
}#mas4
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