makePlot.onTarget {QoRTs} | R Documentation |
On-Target Rates.
makePlot.targetDistribution(plotter, plot.rates = TRUE, plot.hist = TRUE, log.y = TRUE, singleEndMode, byPair = !singleEndMode, rasterize.plotting.area = FALSE, raster.height = 1000, raster.width = 1000, debugMode, plot = TRUE, ...) makePlot.onTarget.counts(plotter, y.counts.in.millions = TRUE, debugMode, singleEndMode, plot = TRUE, ...) makePlot.onTarget.rates(plotter, debugMode, singleEndMode, plot = TRUE, ...)
plotter |
A |
y.counts.in.millions |
Logical. If TRUE, y axis labels are labelled in millions. |
plot.rates |
Logical. If TRUE, plot rates, otherwise plot raw counts. |
plot.hist |
Plot a histogram. |
log.y |
Logical. If TRUE, the y-axis should be log-scaled. |
byPair |
Logical. If TRUE, count read-pairs rather than reads. In other words, if two reads overlap, the overlapping region is counted only once. |
rasterize.plotting.area |
Logical. If |
raster.height |
Numeric. If rasterize.plotting.area is TRUE, then this is the height of the plotting area raster image, in pixels. |
raster.width |
Numeric. If rasterize.plotting.area is TRUE, then this is the width of the plotting area raster image, in pixels. |
debugMode |
Logical. If TRUE, debugging data will be printed to the console. |
singleEndMode |
Logical. Determines whether the dataset consists of single-ended reads. By default this is determined from the data. Thus, this parameter should never need to be set by the user. |
plot |
Logical. If FALSE, suppress plotting and return |
... |
Arguments to be passed to methods, such as
graphical parameters (see |
For each sample run, indicates the amount of time spent running the QoRTs QC data processing tool
By default, this function returns nothing. If the return.table parameter is TRUE, then it returns a data.frame with the data that was plotted.
data(res,package="QoRTsExampleData");
plotter <- build.plotter.colorByGroup(res);
makePlot.runTimePerformance(plotter);
## Starting: QoRTs Runtime Performance plot.
## Finished: QoRTs Runtime Performance plot.[time: 2018-09-25 13:12:52],[elapsed: 0.13 secs]