The plots shows the charge distribution per Raw file. The output of 'mosaicize()' can be used directly.
plot_IDsOverRT(data, x_lim = range(data$RT), y_max = max(data$counts))
A data.frame with columns as described above
Limits of the x-axis (2-tuple)
Maximum of the y-axis (single value)
GGplot object
The input is a data.frame with columns 'RT' - RT in seconds, representing one bin 'counts' - number of IDs at this bin 'fc.raw.file' - name of the Raw file where each row represents one bin in RT.
At most nine(!) Raw files can be plotted. If more are given, an error is thrown.
# NOT RUN {
data = data.frame(fc.raw.file = rep(paste('file', letters[1:3]), each=30),
RT = seq(20, 120, length.out = 30),
counts = c(rnorm(30, 400, 20), rnorm(30, 250, 15), rnorm(30, 50, 15)))
plot_IDsOverRT(data)
# }
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