Skip to contents

This function will generate n random points from a rf distribution with a user provided, df1,df2, and ncp, and number of random simulations to be produced. The function returns a tibble with the simulation number column the x column which corresponds to the n randomly generated points, the d_, p_ and q_ data points as well.

The data is returned un-grouped.

The columns that are output are:

  • sim_number The current simulation number.

  • x The current value of n for the current simulation.

  • y The randomly generated data point.

  • dx The x value from the stats::density() function.

  • dy The y value from the stats::density() function.

  • p The values from the resulting p_ function of the distribution family.

  • q The values from the resulting q_ function of the distribution family.

Usage

tidy_f(
  .n = 50,
  .df1 = 1,
  .df2 = 1,
  .ncp = 0,
  .num_sims = 1,
  .return_tibble = TRUE
)

Arguments

.n

The number of randomly generated points you want.

.df1

Degrees of freedom, Inf is allowed.

.df2

Degrees of freedom, Inf is allowed.

.ncp

Non-centrality parameter.

.num_sims

The number of randomly generated simulations you want.

.return_tibble

A logical value indicating whether to return the result as a tibble. Default is TRUE.

Value

A tibble of randomly generated data.

Details

This function uses the underlying stats::rf(), and its underlying p, d, and q functions. For more information please see stats::rf()

Author

Steven P. Sanderson II, MPH

Examples

tidy_f()
#> # A tibble: 50 × 7
#>    sim_number     x         y     dx       dy      p         q
#>    <fct>      <int>     <dbl>  <dbl>    <dbl>  <dbl>     <dbl>
#>  1 1              1   4.66    -4.09  0.00124  0.724    4.66   
#>  2 1              2   0.107   -0.794 0.120    0.201    0.107  
#>  3 1              3   3.22     2.50  0.0981   0.676    3.22   
#>  4 1              4   0.159    5.79  0.0151   0.242    0.159  
#>  5 1              5   0.00313  9.08  0.00921  0.0356   0.00313
#>  6 1              6   0.181   12.4   0.00443  0.256    0.181  
#>  7 1              7  14.7     15.7   0.0104   0.838   14.7    
#>  8 1              8   0.762   19.0   0.000345 0.457    0.762  
#>  9 1              9 107.      22.3   0.00320  0.939  107.     
#> 10 1             10   0.167   25.5   0.00867  0.247    0.167  
#> # ℹ 40 more rows