Last data update: 2014.03.03

R: Class '"GenoSet"'
GenoSet-classR Documentation

Class "GenoSet"

Description

GenoSet extends RangedSummarizedExperiment by adding some additional methods to the API. Examples include subsetting rows with a GenomicRanges and combining this with access to assays like genoset[i,j,assay].

Extends

Class RangedSummarizedExperiment, directly.

Methods

[

signature(x = "GenoSet", i = "ANY", j = "ANY", drop = "ANY"): ...

[

signature(x = "GenoSet", i = "character", j = "ANY", drop = "ANY"): ...

[<-

signature(x = "GenoSet", i = "ANY", j = "ANY", value = "ANY"): ...

chr

signature(object = "GenoSet"): ...

chrNames

signature(object = "GenoSet"): ...

dim

signature(object = "GenoSet"): ...

genoPlot

signature(x = "GenoSet", y = "ANY"): ...

rowRanges

signature(object = "GenoSet"): ...

names

signature(x = "GenoSet"): ...

ranges

signature(x = "GenoSet"): ...

chrInfo

signature(x = "GenoSet"): ...

chrIndices

signature(x = "GenoSet"): ...

show

signature(object = "GenoSet"): ...

toGenomeOrder

signature(ds = "GenoSet"): ...

isGenomeOrder

signature(ds = "GenoSet"): ...

assays

signature(x = "GenoSet"): ...

assay

signature(x = "GenoSet", i="ANY"): ...

assay<-

signature(x = "GenoSet", i="ANY",value="ANY"): ...

assayNames

signature(x = "GenoSet"): ...

colData

signature(x = "GenoSet"): ...

locData

signature(x = "GenoSet"): ...

locData<-

signature(x = "GenoSet",value="GenomicRanges"): ...

See Also

GenoSet

Examples

showClass("GenoSet")
test.sample.names = LETTERS[11:13]
probe.names = letters[1:10]
assays=list(matrix(31:60,nrow=10,ncol=3,dimnames=list(probe.names,test.sample.names)))
rowRanges=GRanges(ranges=IRanges(start=1:10,width=1,names=probe.names),seqnames=c(rep("chr1",4),rep("chr3",2),rep("chrX",4)))
colData=data.frame(matrix(LETTERS[1:15],nrow=3,ncol=5,dimnames=list(test.sample.names,letters[1:5])))
rse=SummarizedExperiment(rowRanges=rowRanges,assays=assays,colData=colData,metadata=metadata)
gs = GenoSet(rowRanges, assays, colData)

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(genoset)
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: GenomicRanges
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
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")'.


*** Genoset API Changes ***
The genoset class has transitioned to the
RangedSummarizedExperiment API from the eSet API (e.g. use colnames instead of sampleNames). ***

Attaching package: 'genoset'

The following object is masked from 'package:GenomicRanges':

    pos

The following objects are masked from 'package:S4Vectors':

    colMeans, colSums, rowMeans, rowSums

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

    colMeans, colSums, rowMeans, rowSums

Warning messages:
1: multiple methods tables found for 'colMeans' 
2: multiple methods tables found for 'colSums' 
3: multiple methods tables found for 'rowMeans' 
4: multiple methods tables found for 'rowSums' 
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/genoset/GenoSet-class.Rd_%03d_medium.png", width=480, height=480)
> ### Name: GenoSet-class
> ### Title: Class '"GenoSet"'
> ### Aliases: GenoSet-class GenoSetOrGenomicRanges-class
> ### Keywords: classes
> 
> ### ** Examples
> 
> showClass("GenoSet")
Class "GenoSet" [package "genoset"]

Slots:
                                                            
Name:                   rowRanges                    colData
Class: GenomicRangesORGRangesList                  DataFrame
                                                            
Name:                      assays                      NAMES
Class:                     Assays            characterORNULL
                                                            
Name:             elementMetadata                   metadata
Class:                  DataFrame                       list

Extends: 
Class "RangedSummarizedExperiment", directly
Class "GenoSetOrGenomicRanges", directly
Class "SummarizedExperiment", by class "RangedSummarizedExperiment", distance 2
Class "Vector", by class "RangedSummarizedExperiment", distance 3
Class "Annotated", by class "RangedSummarizedExperiment", distance 4
> test.sample.names = LETTERS[11:13]
> probe.names = letters[1:10]
> assays=list(matrix(31:60,nrow=10,ncol=3,dimnames=list(probe.names,test.sample.names)))
> rowRanges=GRanges(ranges=IRanges(start=1:10,width=1,names=probe.names),seqnames=c(rep("chr1",4),rep("chr3",2),rep("chrX",4)))
> colData=data.frame(matrix(LETTERS[1:15],nrow=3,ncol=5,dimnames=list(test.sample.names,letters[1:5])))
> rse=SummarizedExperiment(rowRanges=rowRanges,assays=assays,colData=colData,metadata=metadata)
> gs = GenoSet(rowRanges, assays, colData)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>