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The F Distribution, Using Multiple Draws

Source: R/distributions.R
df_rvec.Rd

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 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 \(P[X \le x]\), 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.

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.

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

See also

Examples

x <- rvec(list(c(3, 5.1),
               c(0.1, 2.3)))
df_rvec(x, df1 = 1, df2 = 3)
#> <rvec_dbl<2>[2]>
#> [1] 0.05305,0.02233 1.089,0.07765  
pf_rvec(x, df1 = 1, df2 = 3)
#> <rvec_dbl<2>[2]>
#> [1] 0.8183,0.8909 0.2274,0.7734

rf_rvec(n = 2, df1 = 1,df2 = 2:3, n_draw = 1000)
#> <rvec_dbl<1000>[2]>
#> [1] 0.67 (0.001, 37)  0.61 (0.0011, 17)