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Last data update: 2014.03.03

R: TRANSFORM RTCA DATA WITH INTERPOLATION

interpolationTransform

R Documentation

TRANSFORM RTCA DATA WITH INTERPOLATION

Description

Interpolate RTCA data

Usage

interpolationTransform(object, interval=0.01, method=c("linear","constant","fmm","periodic","natural", "monoH.FC"))

Arguments

`object`	An `RTCA` object
`...`	other parameters, `interval` and `method` are implemented, see below
`interval`	numeric, the interval between interpolated points, set to 0.01 by default
`method`	character, specifying the method for interpolation, “linear” by default (for linear interpolation). Allowed options are: “linear” and “constant” for `approx` interpolation, and “fmm”, “periodic”, “natural” and “monoH.FC” for cubic spline interpolation

Details

Since most RTCA experiements record the experiments in the irregular time-series, sometimes however it is desired to have regular intervals. interpolationTransform interpolate between data points to estimate results of regular intervals.

Two classes of interpolations are supported by now: linear (using approx) and cubic spline (spline) interpolation. By default linear interpolation is used.

Value

An interpolated object of RTCA.

Author(s)

Jitao David Zhang jitao_david.zhang@roche.com

Examples

require(RTCA)
  
ofile <- system.file("/extdata/testOutput.csv", package="RTCA")
x <- parseRTCA(ofile)

xInter <- interpolationTransform(x)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(RTCA)
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")'.

Loading required package: RColorBrewer
Loading required package: gtools
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/RTCA/interpolationTransform.Rd_%03d_medium.png", width=480, height=480)
> ### Name: interpolationTransform
> ### Title: TRANSFORM RTCA DATA WITH INTERPOLATION
> ### Aliases: interpolationTransform
> ### Keywords: ts
> 
> ### ** Examples
> 
> require(RTCA)
>   
> ofile <- system.file("/extdata/testOutput.csv", package="RTCA")
> x <- parseRTCA(ofile)
Read 245 items
> 
> xInter <- interpolationTransform(x)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>