Last data update: 2014.03.03

R: Simulation of a plrs model
plrs.simR Documentation

Simulation of a plrs model

Description

Simulation of a piecewise relationship.

The function has been only implemented for convenience of simulations and R examples.

Usage

plrs.sim(n = 80, states = 4, sigma = 01, x = NULL)

Arguments

n

Number of simulated data points

states

Number of states for the model

sigma

Noise

x

Segmented values.

Details

To be written...

Author(s)

Gwenael G.R. Leday g.g.r.leday@vu.nl

Examples


# Simulate 1-state model
sim <- plrs.sim(n=80, states=1, sigma=0.5)
model <- plrs(expr=sim$expr, cghseg=sim$seg, cghcall=sim$cal)
plot(model)

# Simulate 2-state model
sim <- plrs.sim(n=80, states=2, sigma=0.5)
model <- plrs(expr=sim$expr, cghseg=sim$seg, cghcall=sim$cal)
plot(model)

# Simulate 3-state model
sim <- plrs.sim(n=90, states=3, sigma=0.5)
model <- plrs(expr=sim$expr, cghseg=sim$seg, cghcall=sim$cal)
plot(model)

# Simulate 4-state model
sim <- plrs.sim(n=80, states=4, sigma=0.5)
model <- plrs(expr=sim$expr, cghseg=sim$seg, cghcall=sim$cal)
plot(model)

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(plrs)
Loading required package: Biobase
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

Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/plrs/plrs.sim.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plrs.sim
> ### Title: Simulation of a plrs model
> ### Aliases: plrs.sim
> 
> ### ** Examples
> 
> 
> # Simulate 1-state model
> sim <- plrs.sim(n=80, states=1, sigma=0.5)
> model <- plrs(expr=sim$expr, cghseg=sim$seg, cghcall=sim$cal)
> plot(model)
> 
> # Simulate 2-state model
> sim <- plrs.sim(n=80, states=2, sigma=0.5)
> model <- plrs(expr=sim$expr, cghseg=sim$seg, cghcall=sim$cal)
> plot(model)
> 
> # Simulate 3-state model
> sim <- plrs.sim(n=90, states=3, sigma=0.5)
> model <- plrs(expr=sim$expr, cghseg=sim$seg, cghcall=sim$cal)
> plot(model)
> 
> # Simulate 4-state model
> sim <- plrs.sim(n=80, states=4, sigma=0.5)
> model <- plrs(expr=sim$expr, cghseg=sim$seg, cghcall=sim$cal)
> plot(model)
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>