Last data update: 2014.03.03

R: Simulate exemplary segmentation data.
simSegDataR Documentation

Simulate exemplary segmentation data.

Description

Simulate exemplary segmentation data.

Usage

simSegData(nseg=10, J=3, soj, emis, seed=1234, toPlot=FALSE)

Arguments

nseg

size of initial segments pool

J

states number

soj

a list object containing sojourn settings

emis

a list object containing emission settings

seed

seed for simulation

toPlot

whether to output a pdf image of the simulated series

Value

a list object containing the simulated data and the segment info

E

a numeric vector of the simulated data serie

L

a vector of the length for each continuous segment

S

a vector of state assignment for each segment

pdf

the name of the output pdf file if any

Examples

	soj<-list(type='pois', lambda=c(200, 100, 10))
	emis<-list(type='pois', lambda=1:3)
	simSegData(soj=soj, emis=emis)

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(biomvRCNS)
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: GenomicRanges
Loading required package: GenomeInfoDb
Loading required package: Gviz
Loading required package: grid
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/biomvRCNS/simSegData.Rd_%03d_medium.png", width=480, height=480)
> ### Name: simSegData
> ### Title: Simulate exemplary segmentation data.
> ### Aliases: simSegData
> 
> ### ** Examples
> 
> 	soj<-list(type='pois', lambda=c(200, 100, 10))
> 	emis<-list(type='pois', lambda=1:3)
> 	simSegData(soj=soj, emis=emis)
$L
[1]  87  10 205   7 105 191

$E
  [1] 4 2 4 3 2 2 4 2 1 1 0 4 2 4 2 0 0 2 0 3 2 3 3 3 3 1 2 0 1 2 2 0 3 3 0 3 1
 [38] 0 4 3 1 2 1 1 3 2 1 4 3 4 0 0 4 1 1 2 1 2 2 1 2 0 2 1 1 0 2 2 2 1 5 2 5 1
 [75] 1 1 2 1 2 4 2 3 4 2 2 0 2 1 4 4 1 2 2 1 1 5 4 1 2 2 3 0 2 1 1 2 0 1 1 2 0
[112] 0 3 0 0 1 0 0 1 2 1 3 0 1 1 3 1 1 2 2 2 1 4 1 2 1 1 0 0 2 5 3 2 1 0 1 1 0
[149] 1 2 1 1 0 0 1 1 1 1 0 0 0 3 1 3 1 1 1 0 1 1 1 1 0 0 2 1 2 0 1 2 2 0 1 0 1
[186] 0 1 1 1 2 2 0 1 2 2 2 0 2 0 3 3 1 0 2 1 0 1 0 2 0 0 3 1 2 0 0 1 0 0 1 1 2
[223] 0 4 1 1 2 1 1 1 3 0 2 1 2 2 3 2 0 0 2 0 2 3 1 0 1 2 0 4 1 2 0 2 2 1 0 0 1
[260] 2 0 1 1 1 0 1 1 2 2 0 1 0 0 0 0 3 3 1 3 2 0 1 0 1 1 1 1 0 0 0 0 1 1 1 2 0
[297] 1 1 0 2 0 0 0 2 1 3 1 1 1 1 3 1 5 0 0 2 6 4 0 0 0 3 1 2 2 1 0 3 1 3 6 2 2
[334] 1 0 1 2 0 1 5 0 2 4 1 3 0 4 1 2 1 0 0 2 6 1 3 5 0 3 4 4 3 3 3 1 2 1 2 5 3
[371] 5 1 2 1 2 1 4 2 2 2 4 3 1 3 0 4 4 3 2 4 1 4 2 1 2 3 1 2 4 2 1 1 4 3 3 2 2
[408] 1 1 3 3 3 3 3 1 2 0 1 1 0 1 1 1 2 0 1 0 3 1 1 2 1 0 1 0 2 0 3 1 0 1 1 2 0
[445] 3 0 1 1 2 1 1 0 0 2 0 2 0 0 1 0 1 3 1 2 1 1 2 0 1 2 3 0 1 0 0 0 1 0 1 0 0
[482] 0 1 1 1 4 2 0 0 0 1 0 0 1 0 0 0 0 1 0 1 2 2 1 0 1 0 0 0 0 0 1 1 1 1 0 0 4
[519] 0 3 2 0 1 0 0 1 0 2 1 1 1 0 2 0 2 1 0 0 1 0 2 0 0 3 1 1 0 2 1 1 0 0 0 1 0
[556] 0 1 0 0 0 0 0 0 0 0 3 1 0 1 2 1 1 1 1 0 0 0 0 2 3 1 0 0 1 1 0 2 2 1 0 2 1
[593] 1 1 0 1 1 1 2 0 0 1 0 0 1

$S
[1] 2 3 1 3 2 1

> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>