Objects can be created by calls of the form new("RTCA", assayData,
phenoData, featureData, experimentData, annotation, exprs,
...). However, it is more common to be constructed by
parseRTCA function by reading in RTCA output data directly.
Slots
expID:
Object of class "character", experiment ID
timeline:
Object of class "RTCAtimeline",
recording action track along the time line
assayData:
Object of class "AssayData", assay
data inherited from ExpressionSet-class
phenoData:
Object of class
"AnnotatedDataFrame", pheno data of the assay, annotating
the wells
featureData:
Object of class
"AnnotatedDataFrame", feature data of the assay, preserved
for time-line recording by the package
experimentData:
Object of class "MIAME", idle
annotation:
Object of class "character", idle
.__classVersion__:
Object of class "Versions",idle
Extends
Class ExpressionSet-class, directly.
Class eSet-class, by class "ExpressionSet", distance 2.
Class VersionedBiobase-class, by class "ExpressionSet", distance 3.
Class Versioned-class, by class "ExpressionSet", distance 4.
Methods
addAction
signature(object = "RTCA", time = "numeric",
action = "character"): add action at the specified time, passed
to the RTCAtimeline slot
getAction
signature(object = "RTCA", time =
"numeric"): get action at the specified time, passed
to the RTCAtimeline slot
plotRTCA
signature(x = "RTCA"): plot RTCA
rmAction
signature(object = "RTCA", time = "numeric"):
remove action at the specified time, passed
to the RTCAtimeline slot
show
signature(object = "RTCA"): print method
expID
codesignature(object = "RTCA"): get Experiment ID
expID<-
codesignature(object = "RTCA", value = "ANY"): set Experiment ID
time
signature(x = "RTCA"): deprecated
timeline
signature(object = "RTCA"): get the RTCAtimeline slot
timeline<-
signature(object = "RTCA"): assign the
RTCAtimeline slot
timepoints
signature(object = "RTCA"): get the
recording time points in a vector
timepoints<-
signature(object = "RTCA"): assign the
recording time points
updateAction
signature(object = "RTCA", time =
"numeric", action = "character"): update the action at the specified time, passed
to the RTCAtimeline slot
plot
signature(x = "RTCA", y): plot the RTCA running
plot with matplot. y is interpretated as the
indices of the columns to be plotted, and will be expanded to all
the columns in case it is missing.
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(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/RTCA-class.Rd_%03d_medium.png", width=480, height=480)
> ### Name: RTCA-class
> ### Title: Class "RTCA"
> ### Aliases: RTCA-class addAction,RTCA,numeric,character-method
> ### derivativeTransform,RTCA-method getAction,RTCA,numeric-method
> ### interpolationTransform,RTCA-method plotRTCA,RTCA-method
> ### ratioTransform,RTCA-method rgrTransform,RTCA-method
> ### rmAction,RTCA,numeric-method RTCAtimeline,RTCA-method
> ### RTCAtimeline<-,RTCA-method show,RTCA-method
> ### smoothTransform,RTCA,missing-method smoothTransform,RTCA,ANY-method
> ### time,RTCA-method expID expID,RTCA-method expID<- expID<-,RTCA-method
> ### timeline timeline,RTCA-method timeline<- timeline<-,RTCA-method
> ### timepoints timepoints,RTCA-method timepoints<-
> ### timepoints<-,RTCA-method updateAction,RTCA,numeric,character-method
> ### plot,RTCA-method
> ### Keywords: classes
>
> ### ** Examples
>
> new("RTCA", expID="testExp01")
Experiment ID: testExp01
RTCAtimeline
================================================
time action
0 start
================================================
Time unit: hour
RTCA-run start time: 2016-07-02 23:50:56
ExpressionSet (storageMode: lockedEnvironment)
assayData: 0 features, 0 samples
element names: exprs
protocolData: none
phenoData: none
featureData: none
experimentData: use 'experimentData(object)'
Annotation:
>
>
>
>
>
> dev.off()
null device
1
>