A probability distribution object such as those created by
a call to <code><a rd-options="=Bernoulli" href="/link/Bernoulli()?package=distributions3&version=0.2.0&to=%3DBernoulli" data-mini-rdoc="=Bernoulli::Bernoulli()">Bernoulli()</a></code>, <code><a rd-options="=Beta" href="/link/Beta()?package=distributions3&version=0.2.0&to=%3DBeta" data-mini-rdoc="=Beta::Beta()">Beta()</a></code>, or <code><a rd-options="=Binomial" href="/link/Binomial()?package=distributions3&version=0.2.0&to=%3DBinomial" data-mini-rdoc="=Binomial::Binomial()">Binomial()</a></code>.

A vector of elements whose cumulative probabilities you would
like to determine given the distribution <code>d</code>.

logical. Should the result be simplified to a vector if possible?

drop

Unused. Unevaluated arguments will generate a warning to
catch mispellings or other possible errors.

For discrete distributions, the probability mass function.

Tools to create and manipulate probability distributions
using S3.  Generics random(), pdf(), cdf() and quantile() provide
replacements for base R's r/d/p/q style functions.  Functions and
arguments have been named carefully to minimize confusion for students
in intro stats courses. The documentation for each distribution
contains detailed mathematical notes.

Alex Hayes

distributions3

Probability Distributions as S3 Objects

Ralph Moller-Trane

Emil Hvitfeldt

Daniel Jordan

Paul Northrop

Moritz N. Lang

Achim Zeileis

Bruna Wundervald

Alessandro Gasparini

cdf function

<dl><dt>d</dt>
<dd>A probability distribution object such as those created by
a call to <code>Bernoulli()</code>, <code><a href="/link/Beta()?package=distributions3&version=0.2.0" data-mini-rdoc="distributions3::Beta()">Beta()</a></code>, or <code><a href="/link/Binomial()?package=distributions3&version=0.2.0" data-mini-rdoc="distributions3::Binomial()">Binomial()</a></code>.</dd>
<dt>x</dt>
<dd>A vector of elements whose cumulative probabilities you would
like to determine given the distribution <code>d</code>.</dd>
<dt>drop</dt>
<dd>logical. Should the result be simplified to a vector if possible?</dd>
<dt>...</dt>
<dd>Unused. Unevaluated arguments will generate a warning to
catch mispellings or other possible errors.</dd></dl>

Arguments

Evaluate the probability density of a probability distribution — cdf

<dl>

<dt>d</dt>
<dd>A probability distribution object such as those created by
a call to <code>Bernoulli()</code>, <code><a href='https://rdrr.io/r/stats/Beta.html'>Beta()</a></code>, or <code><a href='https://rdrr.io/r/stats/Binomial.html'>Binomial()</a></code>.</dd>


<dt>x</dt>
<dd>A vector of elements whose cumulative probabilities you would
like to determine given the distribution <code>d</code>.</dd>


<dt>drop</dt>
<dd>logical. Should the result be simplified to a vector if possible?</dd>


<dt>...</dt>
<dd>Unused. Unevaluated arguments will generate a warning to
catch mispellings or other possible errors.</dd>

</dl>

cdf: Evaluate the probability density of a probability distribution

Description

Usage

Value

Arguments

Examples