a columns whether to scale the matrix by columns.
Set by default to FALSE
rows
a rows Whether to scale the matrix by rows. Set by default
to TRUE
scalefun
a function object that takes as input a matrix and returns a
matrix.
By default the argument is set to the R scale function with center=TRUE and
scale=TRUE
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)
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> library(genomation)
Loading required package: grid
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/genomation/scaleScoreMatrixList.Rd_%03d_medium.png", width=480, height=480)
> ### Name: scaleScoreMatrixList
> ### Title: Scale the ScoreMatrixList
> ### Aliases: scaleScoreMatrixList
> ### scaleScoreMatrixList,ScoreMatrixList-method
>
> ### ** Examples
>
> library(GenomicRanges)
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
Loading required package: S4Vectors
Loading required package: stats4
Attaching package: 'S4Vectors'
The following objects are masked from 'package:base':
colMeans, colSums, expand.grid, rowMeans, rowSums
Loading required package: IRanges
Loading required package: GenomeInfoDb
> data(cage)
> data(cpgi)
> data(promoters)
>
> cage$tpm = NULL
> targets = GRangesList(cage=cage, cpgi=cpgi)
> sml = ScoreMatrixList(targets, promoters, bin.num=10, strand.aware=TRUE)
working on cage
working on cpgi
> sml.scaled = scaleScoreMatrixList(sml, rows=TRUE)
> sml.scaled
scoreMatrixlist of length:2
1. scoreMatrix with dims: 1055 10
2. scoreMatrix with dims: 1055 10
> ## No test:
> multiHeatMatrix(sml)
> ## End(No test)
>
>
>
>
>
> dev.off()
null device
1
>