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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 26.4   -18.0 4.85e- 4 0.878 26.4  
#>  2 1              2  5.86   20.8 7.72e- 3 0.751  5.86 
#>  3 1              3  0.949  59.5 1.89e- 4 0.492  0.949
#>  4 1              4  4.17   98.3 1.03e- 5 0.710  4.17 
#>  5 1              5  1.37  137.  4.16e- 5 0.549  1.37 
#>  6 1              6  2.79  176.  1.20e-19 0.657  2.79 
#>  7 1              7 22.2   215.  2.10e-21 0.867 22.2  
#>  8 1              8  1.66  254.  0        0.579  1.66 
#>  9 1              9 25.9   292.  0        0.877 25.9  
#> 10 1             10 39.1   331.  3.57e-19 0.899 39.1  
#> # ℹ 40 more rows