scidb (version 1.1-2)

hypergeometric-methods: Hypergeometric functions in Package scidb

Description

Distribution and quantile functions for the hypergeometric distribution.

Usage

## S3 method for class 'scidb_or_scidbdf':
phyper(x, q, m, n, k, new="p",`eval`=FALSE)
## S3 method for class 'scidb_or_scidbdf':
qhyper(x, p, m, n, k, new="q",`eval`=FALSE)

Arguments

x

A scidb or scidbdf object.

q

A SciDB attribute name (character) or numeric constant representing the quantile, for example the number of white balls drawn without replacement from an urn which contains both black and white balls.

m

A scidb attribute name or numeric constant representing the number of white balls in the urn.

n

A scidb attribute name or numeric constant representing the number of black balls in the urn.

k

A scidb attribute name or numeric constant representing the number of balls drawn from the urn.

p

A scidb attribute name or numeric constant representing probability between 0 and 1.

new

A character name for the result attribute.

eval

(Optional) If true, execute the query. Otherwise defer evaluation.

Value

• A scidb, scidbdf reference object.

Details

The hypergeometric distribution is used for sampling without replacement. The density of this distribution with parameters m, n and k is given by

$$p(x) = \left. {m \choose x}{n \choose k-x} \right/ {m+n \choose k}$$

for $x = 0, \ldots, k$.

The quantile is defined as the smallest value $x$ such that $F(x) \ge p$, where $F$ is the distribution function.

phyper gives the distribution function, qhyper gives the quantile function.

Examples

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