distrFunc: distrFunc
In sigbertklinke/mmstat: Support for the development of interactive Shiny apps

Description Usage Arguments Details Value Examples

Creates a distrFunc object from a distribution name. The density/mass (func='d'), the cumulative distribution (func='p') and the quantile distribution (func='q') function are possible choices.

distrFunc(type, ...)

## Default S3 method:
distrFunc(type, func = "d", discrete = F, supp = c(NA,
  NA), xlim = c(NA, NA), ylim = c(NA, NA), tol = .Machine$double.eps^0.25,
  pretty = T, ...)

`type`	character: distribution name
`...`	further parameters depending on the distribution
`func`	character: type of function (default: `'d'`)
`discrete`	logical: if distribution is discrete or not (default: `FALSE`)
`supp`	range: the support of the distribution function (default: `c(NA, NA)`, detect automatically)
`xlim`	range: set the range of the non-zero density/mass function (default: `c(NA, NA)`, detect automatically)
`ylim`	range: set the range of the y-values (default: `c(NA, NA)`, detect automatically)
`tol`	numeric: tolerance value (default: `.Machine$double.eps^0.25`)
`pretty`	logical: use the function `pretty` to determine good limits

The standard distributions from the stats package (except the multinomial distribution) are supported

`beta`	beta distribution
`binom`	binomial (including Bernoulli) distribution
`cauchy`	Cauchy distribution
`exp`	exponential distribution
`f`	F distribution
`gamma`	gamma distribution
`geom`	geometric distribution
`hyper`	hypergeometric distribution
`lnorm`	log-normal distribution
`nbinom`	negative binomial distribution
`norm`	normal distribution
`pois`	Poisson distribution
`t`	Student's t distribution
`unif`	uniform distribution
`weibull`	Weibull distribution

The function computes the range of the non-zero density/mass function and the maximum of the density/mass function.

For a standard distribution of the stats package you need only to provide the name in the parameter type. For a non-standard distribution with the name 'wwww' is expected that the following functions exist:

`dwwww(x, ...)`	density/mass function
`pwwww(q, ...)`	distribution function
`qwwww(p, ...)`	quantile function

A discrete distribution must be defined for non-negative integers.

The range of non-zero density/mass function is computed by qwwww(0, ...) and qwwww(1, ...). If any of these quantiles returns plus/minus infinity then qwwww(tol, ...) or qwwww(1-tol, ...) is used. Alternatively you may set the range by the parameter xlim and a NA value implies the quantile function should be used.

a distribution object