# Brief summary for the chain(s) obtained using the MCMC.

### Description

This function computes a sample mean, quantiles and a Bayesian
*p*-value which is defined as

*2 * min(n[-], n[+]),*

where
*n[-]* is the number of the sampled values which are
negative and *n[+]* is the number of sampled values which
are positive.

### Usage

1 | ```
give.summary(sample, probs=c(0.5, 0.025, 0.975))
``` |

### Arguments

`sample` |
a data frame or a vector with sampled values |

`probs` |
probabilities of the quantiles that are to be computed |

### Value

A matrix or a vector with the sample mean, quantiles and a Bayesian *p*-value.

### Author(s)

Arnošt Komárek arnost.komarek[AT]mff.cuni.cz

### Examples

1 2 3 4 5 6 7 | ```
## Example with a sample stored in a vector:
sample <- rnorm(1000)
give.summary(sample)
## Example with a sample stored in a data.frame:
sample <- data.frame(x=rnorm(1000), y=rgamma(1000, shape=1, rate=1))
give.summary(sample)
``` |

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker. Vote for new features on Trello.