calibrateScaling: Calibrate Peak Height Scaling

In OskarHansson/pcrsim: Simulation of the Forensic DNA Process

Description

Corrects the peak height scaling intercept.

Usage

calibrateScaling(
  data,
  ref = NULL,
  target,
  c.min = 0,
  c.max = 10000,
  min.step.size = 1e-04,
  exact.matching = FALSE,
  progress = FALSE,
  .i = 1
)

Arguments

data	data.frame simulated data.
ref	data.frame with reference profiles for the simulated data. If NULL the best guess will be used (see guessProfile).
target	numeric target average peak height 'H'.
c.min	numeric the smallest correction factor in the current range.
c.max	numeric the largest correction factor in the current range.
min.step.size	numeric threshold. Exit function when step size is this small.
exact.matching	logical to indicate exact reference sample to dataset sample name matching.
progress	logical flag to show progress messages.
.i	integer internal counter for number of iterations.

Details

Finds the scaling factor correction that gives the best fit between the simulated peak heights and the target average peak height. This is the final step in calibrating pcrsim for a specific kit and method.

Value

numeric corrected scaling intercept.

OskarHansson/pcrsim documentation built on Jan. 22, 2022, 11:55 a.m.