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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)

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.

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  0.0727    -8.38 1.04e- 1 0.168   0.0727
#>  2 1              2  4.13    1756.   1.09e-19 0.709   4.13  
#>  3 1              3  0.180   3521.   7.09e- 4 0.255   0.180 
#>  4 1              4  0.0173  5285.   1.83e-19 0.0833  0.0173
#>  5 1              5 10.3     7050.   0        0.807  10.3   
#>  6 1              6  0.153   8814.   0        0.238   0.153 
#>  7 1              7  1.55   10579.   3.50e-20 0.569   1.55  
#>  8 1              8  0.627  12343.   6.75e-21 0.426   0.627 
#>  9 1              9  9.84   14108.   4.45e-19 0.804   9.84  
#> 10 1             10  0.0231 15872.   0        0.0960  0.0231
#> # ℹ 40 more rows