distr-methods {isobar} | R Documentation

## Functions for distribution calculations

### 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

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

[Package isobar version 1.30.0 Index]