R: Discrete Distribution

Discrete {e1071} | R Documentation

## Discrete Distribution

### Description

These functions provide information about the discrete distribution where the probability of the elements of `values` is proportional to the values given in `probs`, which are normalized to sum up to 1. `ddiscrete` gives the density, `pdiscrete` gives the distribution function, `qdiscrete` gives the quantile function and `rdiscrete` generates random deviates.

### Usage

    ddiscrete(x, probs, values = 1:length(probs))
    pdiscrete(q, probs, values = 1:length(probs))
    qdiscrete(p, probs, values = 1:length(probs))
    rdiscrete(n, probs, values = 1:length(probs), ...)

### Arguments

`x,q` | vector or array of quantiles.
`p` | vector or array of probabilities.
`n` | number of observations.
`probs` | probabilities of the distribution.
`values` | values of the distribution.
`...` | ignored (only there for backwards compatibility)

### Details

The random number generator is simply a wrapper for `sample` and provided for backwards compatibility only.

### Author(s)

Andreas Weingessel and Friedrich Leisch

### Examples

    ## a vector of length 30 whose elements are 1 with probability 0.2
    ## and 2 with probability 0.8.
    rdiscrete (30, c(0.2, 0.8))

    ## a vector of length 100 whose elements are A, B, C, D.
    ## The probabilities of the four values have the relation 1:2:3:3
    rdiscrete (100, c(1,2,3,3), c("A","B","C","D"))

[Package e1071 version 1.7-6 Index]