TIC data.

Description

A sample of 11 curves with TIC counts of a Liquid Chromatography-Mass Spectrometry (LS-MS) data set.

Usage

data(TICdata)

Format

A data frame with 400 observations for each of 11 curves. The different rows correspond to the different curves.

Source

Listgarten, J., Neal, R.M., Roweis, S.T. and Emili, A. (2005). Multiple Alignment of Continuous Time Series, in Advances in Neural Information Processing Systems 17, Eds Saul, L.K., Weiss Y. and Bottou, L., MIT Press, Cambridge, MA, 817–824.

Examples

data(TICdata)
TIC=as.matrix(TICdata)

## Preparation of the TIC data for use in warping.

# for smoothing the LC-MS data TIC
library("SemiPar")

index = 1:200*2-1
TICy = t(matrix(index,200,11))
TIC = as.matrix(TICdata)
x = 1:400
for (i in 1:11)
	{
	TIC.sm = spm(TIC[i,]~f(x))
	TICy[i,] = TIC.sm$fit$fitted[index]
	}
TICx = t(matrix(index,200,11))

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.
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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(MRwarping)
Loading required package: boa
Loading required package: SemiPar
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/MRwarping/TICdata.Rd_%03d_medium.png", width=480, height=480)
> ### Name: TICdata
> ### Title: TIC data.
> ### Aliases: TICdata
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(TICdata)
> TIC=as.matrix(TICdata)
> 
> ## Preparation of the TIC data for use in warping.
> 
> # for smoothing the LC-MS data TIC
> library("SemiPar")
> 
> index = 1:200*2-1
> TICy = t(matrix(index,200,11))
> TIC = as.matrix(TICdata)
> x = 1:400
> for (i in 1:11)
+ 	{
+ 	TIC.sm = spm(TIC[i,]~f(x))
+ 	TICy[i,] = TIC.sm$fit$fitted[index]
+ 	}
> TICx = t(matrix(index,200,11))
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>