R: Compute a summary expression value from the probes...
generateExprVal
R Documentation
Compute a summary expression value from the probes intensities
Description
Compute a summary expression value from the probes intensities
Usage
express.summary.stat(x, pmcorrect, summary, ...)
express.summary.stat.methods() # vector of names of methods
upDate.express.summary.stat.methods(x)
Arguments
x
a (ProbeSet
pmcorrect
the method used to correct the PM values before
summarizing to an expression value.
summary
the method used to generate the expression value.
...
other parameters the method might need... (see the
corresponding methods below...)
Value
Returns a vector of expression values.
Examples
if (require(affydata)) {
data(Dilution)
p <- probeset(Dilution, "1001_at")[[1]]
par(mfcol=c(5,2))
mymethods <- express.summary.stat.methods()
nmet <- length(mymethods)
nc <- ncol(pm(p))
layout(matrix(c(1:nc, rep(nc+1, nc)), nc, 2), width = c(1, 1))
barplot(p)
results <- matrix(0, nc, nmet)
rownames(results) <- paste("sample", 1:nc)
colnames(results) <- mymethods
for (i in 1:nmet) {
ev <- express.summary.stat(p, summary=mymethods[i], pmcorrect="pmonly")
if (mymethods[[i]] != "medianpolish")
results[, i] <- 2^(ev$exprs)
else
results[, i] <- ev$exprs
}
dotchart(results, labels=paste("sample", 1:nc))
}
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(affy)
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")'.
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/affy/generateExprVal-methods.Rd_%03d_medium.png", width=480, height=480)
> ### Name: generateExprVal
> ### Title: Compute a summary expression value from the probes intensities
> ### Aliases: express.summary.stat express.summary.stat-methods
> ### express.summary.stat.methods upDate.express.summary.stat.methods
> ### Keywords: manip
>
> ### ** Examples
>
> if (require(affydata)) {
+ data(Dilution)
+
+ p <- probeset(Dilution, "1001_at")[[1]]
+
+ par(mfcol=c(5,2))
+ mymethods <- express.summary.stat.methods()
+ nmet <- length(mymethods)
+ nc <- ncol(pm(p))
+
+ layout(matrix(c(1:nc, rep(nc+1, nc)), nc, 2), width = c(1, 1))
+
+ barplot(p)
+
+ results <- matrix(0, nc, nmet)
+ rownames(results) <- paste("sample", 1:nc)
+ colnames(results) <- mymethods
+
+ for (i in 1:nmet) {
+ ev <- express.summary.stat(p, summary=mymethods[i], pmcorrect="pmonly")
+ if (mymethods[[i]] != "medianpolish")
+ results[, i] <- 2^(ev$exprs)
+ else
+ results[, i] <- ev$exprs
+ }
+
+ dotchart(results, labels=paste("sample", 1:nc))
+ }
Loading required package: affydata
Package LibPath Item
[1,] "affydata" "/home/ddbj/local/lib64/R/library" "Dilution"
Title
[1,] "AffyBatch instance Dilution"
Warning messages:
1: replacing previous import 'AnnotationDbi::tail' by 'utils::tail' when loading 'hgu95av2cdf'
2: replacing previous import 'AnnotationDbi::head' by 'utils::head' when loading 'hgu95av2cdf'
>
>
>
>
>
> dev.off()
null device
1
>