Generates a set of F distributed values.

r_fdist(df1, df2, ..., n = default_n(df1, df2), .seed = NULL)

## Arguments

df1, df2 vectors of degrees of freedom, strictly positive Unused number of observations to generate. The default_n() function will provide a default value within context One of the following: NULL (default) will not change the current seed. This is the usual case for generating random numbers. A numeric value. This will be used to set the seed before generating the random numbers. This seed will be stored with the results. TRUE. A random seed value will be generated and set as the seed before the results are generated. Again, this will be stored with the results. To extract the random seed from a previously generated set of values, use pull_seed()

## Value

A numeric vector of length n

## Examples


set_n(5)

r_fdist(1, 1)
#> [1] 5.0701710 0.5572999 0.2667419 0.2316231 0.6843606
r_fdist(1:10, 2)
#>  [1]  2.7223878 45.2050232  5.5639046  0.4528410  1.2071669  0.6649001
#>  [7]  0.1900588  0.5821318  9.0677616  2.2860664
r_fdist(10, 2)
#> [1] 5.7205764 5.1206881 0.3449613 0.3121254 2.1341498
r_fdist(10, 2, n = 10)
#>  [1]  0.2784492  1.8167699  4.1032534  0.8739764  1.3142012 25.8332637
#>  [7]  1.5960910  0.4880101  0.1400232  6.9435143