# rstochvec: Random Generation of Stochastic (Probability) Vectors In spgs: Statistical Patterns in Genomic Sequences

## Description

Randomly generate probability vectors, that is, non-negative vectors whose elements sum to unity.

## Usage

 `1` ```rstochvec(n, labels) ```

## Arguments

 `n` the length of the vector. If n is not specified, it is inferred from the lenth of labels. `labels` a vector of labels for the elements of the vector. If labels is not specified, n must be specified and the value `as.character(1:n)` is assumed.

## Details

Stochastic (or probability) vectors are non-negative vectors that sum to unity. This function uniformly generates samples from the set of probability vector sof length n.

At least one of the arguments must be specified. The missing argument is infered from the other.

## Value

A probability vector of length n with elements named according to labels.

## Author(s)

Andrew Hart and Servet Mart<ed>nez

## Examples

 ```1 2 3``` ```rstochvec(4) rstochvec(3, c("a", "b", "c")) rstochvec(labels=c("r", "R")) ```

### Example output

```        1         2         3         4
0.1072674 0.3763062 0.1694189 0.3470075
a          b          c
0.02117224 0.92985777 0.04896999
r         R
0.8272403 0.1727597
```

spgs documentation built on Jan. 11, 2020, 9:31 a.m.