Derivative transform of RTCA object, returning the change rate of cell impedance
Usage
derivativeTransform(object)
Arguments
object
An object of RTCA
Details
The first derivative of the cell impedance curve measured by
RTCA. The derivative of the last time point is estimated by that of
the next to last point.
smoothTransform and interpolationTransform
for smoothing and interpolating the RTCA
data. rgrTransform calculates relative growth rate,
which calls derivativeTransform.
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)
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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/derivativeTransform.Rd_%03d_medium.png", width=480, height=480)
> ### Name: derivativeTransform
> ### Title: DERIVATIVE TRANSFORM OF RTCA OBJECT
> ### Aliases: derivativeTransform
>
> ### ** Examples
>
> require(RTCA)
>
> ofile <- system.file("/extdata/testOutput.csv", package="RTCA")
> x <- parseRTCA(ofile)
Read 245 items
>
> xDeriv <- derivativeTransform(x)
>
>
>
>
>
> dev.off()
null device
1
>