dbern

qbern

pbern

rbern

Probability of success on each trial.

prob

logical. If <code>TRUE</code>, probabilities <code>p</code> are given as <code>log(p)</code>.

numeric in <code>[0, 1]</code>. Vector of probabilities.

logical. If <code>TRUE</code> (default), 
probabilities are <code>P[X &lt;= x]</code>, otherwise, <code>P[X &gt; x]</code>.

lower.tail

log.p

number of observations. 
If <code>length(n) &gt; 1</code>, the length is taken to be the number required.

Density, distribution function, quantile function and 
random generation for the Bernoulli distribution.

A collection of miscellaneous statistical functions for
probability distributions: 'dbern()', 'pbern()', 'qbern()', 'rbern()' for
the Bernoulli distribution, and 'distr2name()', 'name2distr()' for
distribution names;
probability density estimation: 'densityfun()';
most frequent value estimation: 'mfv()', 'mfv1()';
other statistical measures of location: 'cv()' (coefficient of variation),
'midhinge()', 'midrange()', 'trimean()';
construction of histograms: 'histo()', 'find_breaks()';
calculation of the Hellinger distance: 'hellinger()';
use of classical kernels: 'kernelfun()', 'kernel_properties()';
univariate piecewise-constant regression: 'picor()'.

dbern: The Bernoulli distribution

Description

Usage

Arguments

See Also