Last data update: 2014.03.03

R: Helper function to turn a data.frame into a matrix and remove...
getMATfromDataFrameR Documentation

Helper function to turn a data.frame into a matrix and remove the ID column.

Description

This function takes a data.frame, with the genomic features (e.g. transcripts or genes) in the rows and the positions upstream and downstream of the TSS in the columns as well as a column ID containing a genomic feature ID and returns the data.frame with the ID column removed. The input for this function are tables obtained after running the Python import script.

Usage

getMATfromDataFrame(df, ID = "name")

Arguments

df

the input data frame with positions in the columns and the genomic features in the rows.

ID

the name of the ID column to be removed.

Value

a matrix with the ID column removed

Examples

data(exampleSampleTable)
directory <- file.path(system.file("extdata", package="DChIPRep"))
df  <- lapply(file.path(directory, exampleSampleTable$Input), 
read.delim)[[1]]
mat <- getMATfromDataFrame(df)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(DChIPRep)
Loading required package: DESeq2
Loading required package: S4Vectors
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
    get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
    match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
    rbind, rownames, sapply, setdiff, sort, table, tapply, union,
    unique, unsplit


Attaching package: 'S4Vectors'

The following objects are masked from 'package:base':

    colMeans, colSums, expand.grid, rowMeans, rowSums

Loading required package: IRanges
Loading required package: GenomicRanges
Loading required package: GenomeInfoDb
Loading required package: SummarizedExperiment
Loading required package: Biobase
Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.


Warning message:
replacing previous import 'ggplot2::Position' by 'BiocGenerics::Position' when loading 'soGGi' 
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/DChIPRep/getMATfromDataFrame.Rd_%03d_medium.png", width=480, height=480)
> ### Name: getMATfromDataFrame
> ### Title: Helper function to turn a data.frame into a matrix and remove
> ###   the ID column.
> ### Aliases: getMATfromDataFrame
> 
> ### ** Examples
> 
> data(exampleSampleTable)
> directory <- file.path(system.file("extdata", package="DChIPRep"))
> df  <- lapply(file.path(directory, exampleSampleTable$Input), 
+ read.delim)[[1]]
> mat <- getMATfromDataFrame(df)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>