Draws peak labels to plot.
labelPeaks
draws the corresponding mass values on top
of the peaks stored in a MassPeaks
object to a plot.
## S4 method for signature 'MassPeaks' labelPeaks(object, index, mass, labels, digits=3, underline=TRUE, verticalOffset=abs(diff(par("usr")[3:4]))*0.01, absoluteVerticalPos, adj=c(0.5, 0), cex=0.7, srt=0, avoidOverlap=FALSE, arrowLength=0, arrowLwd=0.5, arrowCol=1, ...)
object |
|
index |
|
mass |
|
labels |
|
digits |
|
underline |
logical, underline peak values? |
verticalOffset |
|
absoluteVerticalPos |
|
adj |
|
cex |
|
srt |
|
avoidOverlap |
|
arrowLength, arrowLwd, arrowCol |
arrow parameters, possible vectors.
|
... |
arguments to be passed to |
Please note that avoidOverlap = TRUE
is just supported for
srt %% 90 == 0
(means srt
has to be a multiple of 90 degree).
Sebastian Gibb
## load package library("MALDIquant") ## create a MassPeaks object from scratch p <- createMassPeaks(mass=1:20, intensity=sample(x=100:10000, size=20), metaData=list(name="example")) ## plot peaks plot(p) ## label the first 5 peaks labelPeaks(p, index=1:5) ## label all peaks in mass range 15 to 20 labelPeaks(p, mass=15:20, underline=FALSE) ## label highest peaks (top 5) top5 <- intensity(p) %in% sort(intensity(p), decreasing=TRUE)[1:5] labelPeaks(p, index=top5, col="red") ## real example data("fiedler2009subset") ## a simplified preprocessing r <- removeBaseline(fiedler2009subset[[1]]) p <- detectPeaks(r) plot(p) ## label highest peaks (top 10) and avoid label overlap top10 <- sort(intensity(p), decreasing=TRUE, index.return=TRUE)$ix[1:10] labelPeaks(p, index=top10, avoidOverlap=TRUE, digits=1) ## use own labels and rotate by 90 degree plot(p) labelPeaks(p, index=top10, labels=paste("TOP", 1:10), underline=FALSE, srt=90, adj=c(0, 0.5), col=2)
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