Output of featureAlignedSignal or a
list of SimpleRleList or RleList
feature.gr
An object of GRanges with identical width.
If the width equal to 1, you can use upstream and downstream to set
the range for plot.
If the width not equal to 1, you can use zeroAt to set the zero point
of the heatmap.
upstream, downstream
upstream or dwonstream from the feature.gr.
It must keep same as featureAlignedSignal. It is used for x-axis label.
zeroAt
zero point position of feature.gr
n.tile
The number of tiles to generate for each element of feature.gr,
default is 100
annoMcols
The columns of metadata of feature.gr that specifies the
annotations shown of the right side of the heatmap.
sortBy
Sort the feature.gr by columns by annoMcols and then the signals
of the given samples. Default is the first sample. Set to NULL to disable sort.
color
vector of colors used in heatmap
lower.extreme, upper.extreme
The lower and upper boundary value of
each samples
margin
Margin for of the plot region.
gap
Gap between each heatmap columns.
newpage
Call grid.newpage or not. Default, TRUE
gp
A gpar object can be used for text.
...
Not used.
Value
invisible gList object.
Author(s)
Jianhong Ou
See Also
See Also as featureAlignedSignal, featureAlignedDistribution
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(ChIPpeakAnno)
Loading required package: grid
Loading required package: IRanges
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: Biostrings
Loading required package: XVector
Loading required package: GenomicRanges
Loading required package: GenomeInfoDb
Loading required package: VennDiagram
Loading required package: futile.logger
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/ChIPpeakAnno/featureAlignedHeatmap.Rd_%03d_medium.png", width=480, height=480)
> ### Name: featureAlignedHeatmap
> ### Title: Heatmap representing signals in given ranges
> ### Aliases: featureAlignedHeatmap
> ### Keywords: misc
>
> ### ** Examples
>
> cvglists <- list(A=RleList(chr1=Rle(sample.int(5000, 100),
+ sample.int(300, 100))),
+ B=RleList(chr1=Rle(sample.int(5000, 100),
+ sample.int(300, 100))))
> feature.gr <- GRanges("chr1", IRanges(seq(1, 4900, 100), width=100))
> feature.gr$anno <- rep(c("type1", "type2"), c(25, 24))
> featureAlignedHeatmap(cvglists, feature.gr, zeroAt=50, annoMcols="anno")
>
>
>
>
>
> dev.off()
null device
1
>