df_rvec: The 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)

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.

Arguments

x: Quantiles. Can be an rvec.
df1, df2: Degrees of freedom. See stats::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 $P [X \leq x]$ , 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

Examples

Run this code

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)

Run the code above in your browser using DataLab

Get 50% off unlimited learning