A table, created by segmentImage with manually added classes.
cross
Does 10-fold cross validation to test the classifiers performance.
Details
Topological features include the density of cells and the size of the surrounding cytoplasma of a cell. These features depend on the size of the image. If training image and the image to classify have different size, these features can fool the classification and should not be enabled.
Value
A List containing:
classifier
The classifier
performance
cross validation performance
Author(s)
Henrik Failmezger, failmezger@mpipz.mpg.de
See Also
'createTrainingSet','classifyCells'
Examples
f = system.file("extdata", "trainingData.txt", package="CRImage")
#read training data
trainingData=read.table(f,header=TRUE)
#create classifier
classifier=createClassifier(trainingData)[[1]]
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)
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Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
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> library(CRImage)
Loading required package: EBImage
Loading required package: DNAcopy
Loading required package: aCGH
Loading required package: cluster
Loading required package: survival
Loading required package: multtest
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
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Attaching package: 'Biobase'
The following object is masked from 'package:EBImage':
channel
Attaching package: 'aCGH'
The following object is masked from 'package:stats':
heatmap
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/CRImage/createClassifier.Rd_%03d_medium.png", width=480, height=480)
> ### Name: createClassifier
> ### Title: Construction of a classifier
> ### Aliases: createClassifier
> ### Keywords: misc
>
> ### ** Examples
>
> f = system.file("extdata", "trainingData.txt", package="CRImage")
> #read training data
> trainingData=read.table(f,header=TRUE)
> #create classifier
> classifier=createClassifier(trainingData)[[1]]
>
>
>
>
>
>
> dev.off()
null device
1
>