plot sequence logos stack

Description

plot sequence logos stack

Usage

  plotMotifLogoStack(pfms, ...)

Arguments

Value

none

Examples

  pcm1<-matrix(c(0,50,0,50,
           100,0,0,0,
           0,100,0,0,
           0,0,100,0,
           0,0,0,100,
           50,50,0,0,
           0,0,50,50), nrow=4)
  pcm2<-matrix(c(50,50,0,0,
           0,100,0,0,
           0,50,50,0,
           0,0,0,100,
           50,50,0,0,
           0,0,50,50), nrow=4)
  rownames(pcm1)<-c("A","C","G","T")
  rownames(pcm2)<-c("A","C","G","T")
  pfms<-list(p1=new("pfm",mat=pcm2pfm(pcm1),name="m1"),
         p2=new("pfm",mat=pcm2pfm(pcm2),name="m2"))
  pfms<-DNAmotifAlignment(pfms)
  plotMotifLogoStack(pfms)

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(motifStack)
Loading required package: grImport
Loading required package: grid
Loading required package: XML
Loading required package: MotIV
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: 'MotIV'

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

    filter

Loading required package: ade4

Attaching package: 'ade4'

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

    score

Loading required package: Biostrings
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: XVector
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/motifStack/plotMotifLogoStack.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plotMotifLogoStack
> ### Title: plot sequence logos stack
> ### Aliases: plotMotifLogoStack
> 
> ### ** Examples
> 
>   pcm1<-matrix(c(0,50,0,50,
+            100,0,0,0,
+            0,100,0,0,
+            0,0,100,0,
+            0,0,0,100,
+            50,50,0,0,
+            0,0,50,50), nrow=4)
>   pcm2<-matrix(c(50,50,0,0,
+            0,100,0,0,
+            0,50,50,0,
+            0,0,0,100,
+            50,50,0,0,
+            0,0,50,50), nrow=4)
>   rownames(pcm1)<-c("A","C","G","T")
>   rownames(pcm2)<-c("A","C","G","T")
>   pfms<-list(p1=new("pfm",mat=pcm2pfm(pcm1),name="m1"),
+          p2=new("pfm",mat=pcm2pfm(pcm2),name="m2"))
>   pfms<-DNAmotifAlignment(pfms)
>   plotMotifLogoStack(pfms)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>