R: Distribution Check

distCheck {fBasics} | R Documentation

## Distribution Check

### Description

Tests properties of an R implementation of a distribution, i.e. of all four of its “dpqr” functions.

### Usage

    distCheck(fun = "norm", n = 1000, robust = TRUE, subdivisions = 100, ...)

### Arguments

`fun` | a character string denoting the name of the distribution.
`n` | an integer specifying the number of random variates to be generated.
`robust` | logical flag, should robust estimates be used? By default `TRUE`.
`subdivisions` | integer specifying the numbers of subdivisions in integration.
`...` | the distributional parameters.

### Examples

    distCheck("norm", mean = 1, sd = 1)

    distCheck("lnorm", meanlog = 0.5, sdlog = 2, robust=FALSE)
    ## here, true E(X) = exp(mu + 1/2 sigma^2) = exp(.5 + 2) = exp(2.5) = 12.182
    ## and      Var(X) = exp(2*mu + sigma^2)*(exp(sigma^2) - 1) =       7954.67

[Package fBasics version 3042.89 Index]