df_rvec: F Distribution, Using Multiple Draws

In rvec: Vectors Representing Random Variables

F Distribution, Using Multiple Draws

Description

Density, distribution function, quantile function and random generation for the F distribution, modified to work with rvecs.

Usage

df_rvec(x, df1, df2, ncp = 0, log = FALSE)

pf_rvec(q, df1, df2, ncp = 0, lower.tail = TRUE, log.p = FALSE)

qf_rvec(p, df1, df2, ncp = 0, lower.tail = TRUE, log.p = FALSE)

rf_rvec(n, df1, df2, ncp = 0, n_draw = NULL)

Arguments

x	Quantiles. Can be an rvec.
df1, df2	Degrees of freedom. See df(). Can be rvecs.
ncp	Non-centrality parameter. Default is 0. Cannot be an rvec.
log, log.p	Whether to return results on a log scale. Default is FALSE. Cannot be an rvec.
q	Quantiles. Can be an rvec.
lower.tail	Whether to return P[X \le x], as opposed to P[X > x]. Default is TRUE. Cannot be an rvec.
p	Probabilities. Can be an rvec.
n	The length of random vector being created. Cannot be an rvec.
n_draw	Number of random draws in the random vector being created. Cannot be an rvec.

Details

Functions df_rvec(), pf_rvec(), pf_rvec() and rf_rvec() work like base R functions df(), pf(), qf(), and rf(), except that they accept rvecs as inputs. If any input is an rvec, then the output will be too. Function rf_rvec() also returns an rvec if a value for n_draw is supplied.

df_rvec(), pf_rvec(), pf_rvec() and rf_rvec() use tidyverse vector recycling rules:

• Vectors of length 1 are recycled

• All other vectors must have the same size

Value

• If any of the arguments are rvecs, or if a value for n_draw is supplied, then an rvec

• Otherwise an ordinary R vector.

See Also

• df(), pf(), qf(), rf() Base R equivalents

• distributions All base R distributions

Examples

x <- rvec(list(c(3, 5.1),
               c(0.1, 2.3)))
df_rvec(x, df1 = 1, df2 = 3)
pf_rvec(x, df1 = 1, df2 = 3)

rf_rvec(n = 2, df1 = 1,df2 = 2:3, n_draw = 1000)

rvec documentation built on Dec. 10, 2025, 5:08 p.m.