a cellHTS object that has already
been scored (i.e. state(object)['scored']=TRUE).
ar
the desired aspect ration for the image plot (i.e. number of
columns per number of rows)
zrange
the range of values to be mapped into the color
scale. If missing, zrange will be set to the range of the
score values stored in slot assayData of object.
map
a logical value that determines whether an image map should
be created using tooltips to indicate the annotation at each
position. It only makes sense to set it to TRUE when the
function is called from writeReport function, so the default
is FALSE.
anno
optional input giving the annotation information for the
mapping. It should be a vector of the same size as the total number
of featured in object. See details.
col
a list giving the colors for the plot. The first element
posNeg is used if zrange[1]<0 and zrange[2]>0,
the second if all values are either positive or negative.
nbImageBins
The number of color bins used in the
map. Default is 256.
nbLegendBins
The number of color bins shown in the
legend. Default is 7.
Details
This function creates an image plot that gives an overview of the whole set of score values stored in slot assayData of a scored cellHTS object.
When the annotation mapping is performed, by default, anno is set to:
(if object is annotated) The content of column named GeneSymbol or named GeneID (if the former is not available) of the featureData slot of object;
The position within the plate, if object is not annotated.
data(KcViabSmall)
x <- KcViabSmall
x <- normalizePlates(x, scale="multiplicative", log=FALSE, method="median", varianceAdjust="none")
x <- scoreReplicates(x, sign="-", method="zscore")
x <- summarizeReplicates(x, summary="min")
imageScreen(x, zrange=c(-5,5))
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.
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(cellHTS2)
Loading required package: RColorBrewer
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: genefilter
Loading required package: splots
Loading required package: vsn
Loading required package: hwriter
Loading required package: locfit
locfit 1.5-9.1 2013-03-22
Loading required package: grid
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/cellHTS2/imageScreen.Rd_%03d_medium.png", width=480, height=480)
> ### Name: imageScreen
> ### Title: Experiment-wide quality control plot of a cellHTS object
> ### Aliases: imageScreen
> ### Keywords: manip
>
> ### ** Examples
>
> data(KcViabSmall)
> x <- KcViabSmall
> x <- normalizePlates(x, scale="multiplicative", log=FALSE, method="median", varianceAdjust="none")
> x <- scoreReplicates(x, sign="-", method="zscore")
> x <- summarizeReplicates(x, summary="min")
> imageScreen(x, zrange=c(-5,5))
>
>
>
>
>
> dev.off()
null device
1
>