# cdf.FisherF: Evaluate the cumulative distribution function of an F... In distributions3: Probability Distributions as S3 Objects

 cdf.FisherF R Documentation

## Evaluate the cumulative distribution function of an F distribution

### Description

Evaluate the cumulative distribution function of an F distribution

### Usage

## S3 method for class 'FisherF'
cdf(d, x, drop = TRUE, elementwise = NULL, ...)

### Arguments

 d A FisherF object created by a call to FisherF(). x A vector of elements whose cumulative probabilities you would like to determine given the distribution d. drop logical. Should the result be simplified to a vector if possible? elementwise logical. Should each distribution in d be evaluated at all elements of x (elementwise = FALSE, yielding a matrix)? Or, if d and x have the same length, should the evaluation be done element by element (elementwise = TRUE, yielding a vector)? The default of NULL means that elementwise = TRUE is used if the lengths match and otherwise elementwise = FALSE is used. ... Arguments to be passed to pf. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

### Value

In case of a single distribution object, either a numeric vector of length probs (if drop = TRUE, default) or a matrix with length(x) columns (if drop = FALSE). In case of a vectorized distribution object, a matrix with length(x) columns containing all possible combinations.

### Examples

set.seed(27)

X <- FisherF(5, 10, 0.2)
X

random(X, 10)

pdf(X, 2)
log_pdf(X, 2)

cdf(X, 4)
quantile(X, 0.7)

cdf(X, quantile(X, 0.7))
quantile(X, cdf(X, 7))

distributions3 documentation built on Sept. 7, 2022, 5:07 p.m.