R: Accessor function for the fitInfo objects in a CountDataSet
fitInfo
R Documentation
Accessor function for the fitInfo objects in a CountDataSet
Description
After calling estimateDispersions, a CountDataSet object
is populated with one or (in case of a “per-condition” estimation)
several fitInfo objects, which can be accessed with this function.
Usage
fitInfo( cds, name=NULL )
Arguments
cds
a CountDataSet
name
if estimateDispersion was called with method="per-condition"
a name hasd to specified. Try ls(cds@fitInfo.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(DESeq)
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: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Loading required package: locfit
locfit 1.5-9.1 2013-03-22
Loading required package: lattice
Welcome to 'DESeq'. For improved performance, usability and
functionality, please consider migrating to 'DESeq2'.
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/DESeq/fitInfo.Rd_%03d_medium.png", width=480, height=480)
> ### Name: fitInfo
> ### Title: Accessor function for the fitInfo objects in a CountDataSet
> ### Aliases: fitInfo
>
> ### ** Examples
>
> cds <- makeExampleCountDataSet()
> cds <- estimateSizeFactors( cds )
> cds <- estimateDispersions( cds )
> str( fitInfo( cds ) )
List of 5
$ perGeneDispEsts: num [1:10000] 0.0394 0.2999 0.335 0.3192 0.0798 ...
$ dispFunc :function (q)
..- attr(*, "coefficients")= Named num [1:2] 0.219 0.864
.. ..- attr(*, "names")= chr [1:2] "asymptDisp" "extraPois"
..- attr(*, "fitType")= chr "parametric"
$ fittedDispEsts : num [1:10000] 0.22 0.22 0.221 0.227 0.227 ...
$ df : int 3
$ sharingMode : chr "maximum"
>
>
>
>
>
> dev.off()
null device
1
>