MAplotW {wrGraph} | R Documentation |
MA-plot (differential intensity versus average intensity)
Description
This type of plot for display of relative changes versus (mean) absolute abundance is very common in high-throughput biology, see MA-plot.
Basically one compares two independent series of measures (ie gene transcript or protein abundance values) of 2 samples/data-sets or the means of 2 groups of replicates.
And the log-fold-change ('Minus'=M) is plotted againts the absolute mean value ('Average'=A).
Furthermore, output from statistical testing by moderTest2grp
or moderTestXgrp
can be directly read to produce MA plots for diagnostic purpose.
Please note, that plotting a very high number of points in transparency (eg >10000) may take several seconds.
Usage
MAplotW(
Mvalue,
Avalue = NULL,
useComp = 1,
filtFin = NULL,
ProjNa = NULL,
FCthrs = NULL,
subTxt = NULL,
grayIncrem = TRUE,
col = NULL,
pch = 16,
compNa = NULL,
batchFig = FALSE,
cexMa = 1.8,
cexLa = 1.1,
limM = NULL,
limA = NULL,
annotColumn = c("SpecType", "GeneName", "EntryName", "Accession", "Species", "Contam"),
annColor = NULL,
cexPt = NULL,
cexSub = NULL,
cexTxLab = 0.7,
namesNBest = NULL,
NbestCol = 1,
NaSpecTypeAsContam = TRUE,
useMar = c(6.2, 4, 4, 2),
returnData = FALSE,
callFrom = NULL,
silent = FALSE,
debug = FALSE
)
Arguments
Mvalue |
(numeric, list or MArrayLM-object) main data to plot; if numeric, the content will be used as M-values (and A-values must be provided separateley);
if list or MArrayLM-object, it must conatin list-elements named |
Avalue |
(numeric, list or data.frame) if |
useComp |
(integer) choice of one of multiple comparisons present in |
filtFin |
(matrix or logical) The data may get filtered before plotting: If |
ProjNa |
(character) custom title |
FCthrs |
(numeric) Fold-Change threshold (display as line) give as Fold-change and NOT log2(FC) |
subTxt |
(character) custom sub-title |
grayIncrem |
(logical) if |
col |
(character) custom color(s) for points of plot (see also |
pch |
(integer) type of symbol(s) to plot (default=16) (see also |
compNa |
depreciated, please use |
batchFig |
(logical) if |
cexMa |
(numeric) font-size of title, as expansion factor (see also |
cexLa |
(numeric) size of axis-labels, as expansion factor (see also |
limM |
(numeric, length=2) range of axis M-values |
limA |
(numeric, length=2) range of axis A-values |
annotColumn |
(character) column names of annotation to be extracted (only if |
annColor |
(character or integer) colors for specific groups of annotation (only if |
cexPt |
(numeric) size of points, as expansion factor (see also |
cexSub |
(numeric) size of subtitle, as expansion factor (see also |
cexTxLab |
(numeric) size of text-labels for points, as expansion factor (see also |
namesNBest |
(integer or character, length=1) number of best points to add names in figure; if 'passThr' all points passing FC-filter will be selected;
if the initial object |
NbestCol |
(character or integer) colors for text-labels of best points |
NaSpecTypeAsContam |
(logical) consider lines/proteins with |
useMar |
(numeric,length=4) custom margings (see also |
returnData |
(logical) optional returning data.frame with (ID, Mvalue, Avalue, FDRvalue, passFilt) |
callFrom |
(character) allow easier tracking of messages produced |
silent |
(logical) suppress messages |
debug |
(logical) additional messages for debugging |
Value
This function plots an MA-plot (to the current graphical device); if returnData=TRUE
, a data.frame with ($ID, $Mvalue, $Avalue, $FDRvalue, $passFilt) gets returned
See Also
(for PCA) plotPCAw
Examples
library(wrMisc)
set.seed(2005); mat <- matrix(round(runif(600),2), ncol=6)
rownames(mat) <- c(rep(letters[1:25],each=3), letters[2:26])
MAplotW(mat[,2] -mat[,1], A=rowMeans(mat))
## assume 2 groups with 3 samples each
matMeans <- rowGrpMeans(mat, gr=gl(2,3,labels=LETTERS[3:4]))
MAplotW(M=matMeans[,2] -matMeans[,1], A=matMeans)
## assume 2 groups with 3 samples each and run moderated t-test (from package 'limma')
tRes <- moderTest2grp(mat, gl(2,3))
MAplotW(tRes$Mval, tRes$Amean)
MAplotW(M=tRes$Mval, A=tRes$means, FCth=1.3)
MAplotW(tRes)
MAplotW(tRes, limM=c(-2,2), FCth=1.3)