| makePlot.cigarLength.distribution {QoRTs} | R Documentation | 
Plots the length distribution of a given cigar operation
  makePlot.cigarLength.distribution(plotter, op, 
                                r2.buffer = NULL,
                                perMillion = TRUE,
                                log.x = FALSE, 
                                log.y = FALSE, 
                                debugMode, singleEndMode,
                                ...)
| plotter | A  | 
| op | A character string naming which cigar op to plot. Must be one of the following: 
 Note that makePlot.cigarOp.byCycle(plotter,"SoftClip") gives
identical results as makePlot.clipping, although the default
value for the  | 
| r2.buffer | Buffer space to place between the plotting of read 1 and read 2. By default this will choose a reasonable value. | 
| perMillion | A logical value indicating whether or not to scale the y axis to rate-per-million-reads, rather than rate-per-read. Some people may find the results more readable this way, even though the plots themselves will appear the same. | 
| log.x | A logical value indicating whether or not to log-scale the x axis. | 
| log.y | A logical value indicating whether or not to log-scale the y axis. | 
| 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. | 
| ... | Arguments to be passed to methods, such as
graphical parameters (see  | 
x-axis: Length of the cigar operation.
y-axis: Frequency of the given length.
  data(res,package="QoRTsExampleData");
  plotter <- build.plotter.colorByGroup(res);
  makePlot.cigarLength.distribution(plotter, op = "Del");
## Starting: Deletion Length Distribution plot.
## Finished: Deletion Length Distribution plot.[time: 2016-01-28 16:32:53],[elapsed: 0.08 secs]
 
  makePlot.cigarLength.distribution(plotter, op = "Ins");
## Starting: Insertion Length Distribution plot.
## Finished: Insertion Length Distribution plot.[time: 2016-01-28 16:32:53],[elapsed: 0.12 secs]