StatisticsForPREDAFromfile: Function to create a StatisticsForPREDA objet from a txt file

In PREDA: Position Related Data Analysis

Description

Function to create a StatisticsForPREDA objet from a txt file

Usage

StatisticsForPREDAFromfile(file, ids_column = NULL,
statistic_columns = NULL, analysesNames = NULL, testedTail =
c("upper", "lower", "both"), ...)

Arguments

file	Path to the input txt file containing statistics on genomics data
ids_column	Specify the column from the input txt file with gene (or other genomic features) ids. Can be specified using column index (numeric) or column name (character).
statistic_columns	Specify the column (or columns) from the input txt file with gsta.enomic data statistics that will be included in the statisticsForPREDA object. Can be specified using column index (numeric) or column name (character). If NULL (default), all columns excluding ids_column will be considered as input statistics
analysesNames	Names (labels) to be associated to each input statistic. If NULL the column names for statistics_columns will be used.
testedTail	Specify what tail of the distribution will be tested for significantly extreme values in PREDA analysis. Possible values are "both", "upper" or "lower".
...	any other parameter for read.table function that could be useful for parsing the input file, such as "sep", "quote", "header", "na.strings" and other parameters.

Details

A txt file is parsed and a statisticsForPREDA object is built using contained data.

Value

A statisticsForPREDA object

Author(s)

Francesco Ferrari

See Also

StatisticsForPREDA

Examples

  ## Not run: 
require(PREDAsampledata)

CNdataPath <- system.file("sampledata", "CopyNumber", package =
"PREDAsampledata")

CNdataFile <- file.path(CNdataPath , "CNAG_data_PREDA.txt")

CNannotationFile <- file.path(CNdataPath , "SNPAnnot100k.csv")

CNStatisticsForPREDA<-StatisticsForPREDAFromfile(file=CNdataFile,
ids_column="AffymetrixSNPsID", testedTail="both", sep="\t",
header=TRUE)

  
## End(Not run)

PREDA documentation built on Nov. 8, 2020, 7:40 p.m.