distr-methods: Functions for distribution calculations

In fbreitwieser/isobar: Analysis and quantitation of isobarically tagged MSMS proteomics data

Description

calcProbXGreaterThanY calculates the probability that X >= Y. calcProbXDiffNormals calculates the probabilities of a set of normals, defined by the vectors mu_Y and sd_Y are greater or less than the reference distribution Y.

Usage

  calcProbXGreaterThanY(X, Y, rel.tol = .Machine$double.eps^0.25, subdivisions = 100L)
  calcProbXDiffNormals(X, mu_Y, sd_Y, ..., alternative = c("greater", "less", "two-sided"), progress = FALSE)
  #calcCumulativeProbXGreaterThanY(Xs, mu_Ys, sd_Ys, alternative = c("greater", "less", "two-sided"), rel.tol = .Machine$double.eps^0.25, subdivisions = 100L)
  distrprint(X, round.digits = 5)
  twodistr.plot(X, Y, n.steps = 1000, min.q = 10^-3)

Arguments

X	Object of the class Distribution.
Y	Object of the class Distribution.
min.q	minimum quantile
n.steps	Number of steps.
mu_Y	Numeric vector of parameter mu of a Normal.
sd_Y	Numeric vector of parameter sd of a Normal.
subdivisions	the maximum number of subintervals
rel.tol	relative accuracy requested
...	Additional arguments to calcProbXGreaterThanY.
alternative	"less", "greater", or "two-sided".
progress	Show text progress bar?
round.digits	Round digits for printing.

Author(s)

Florian P. Breitwieser

Examples

  calcProbXGreaterThanY(Norm(0,.25),Norm(1,.25))

fbreitwieser/isobar documentation built on May 16, 2019, 12:01 p.m.