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This function will generate n random points from a chisquare distribution with a user provided, .df, .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_chisquare(.n = 50, .df = 1, .ncp = 1, .num_sims = 1)

Arguments

.n

The number of randomly generated points you want.

.df

Degrees of freedom (non-negative but can be non-integer)

.ncp

Non-centrality parameter, must be non-negative.

.num_sims

The number of randomly generated simulations you want.

Value

A tibble of randomly generated data.

Details

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

Author

Steven P. Sanderson II, MPH

Examples

tidy_chisquare()
#> # A tibble: 50 × 7
#>    sim_number     x       y     dx      dy      p       q
#>    <fct>      <int>   <dbl>  <dbl>   <dbl>  <dbl>   <dbl>
#>  1 1              1 0.167   -2.69  0.00134 0.198  0.167  
#>  2 1              2 0.926   -2.26  0.00542 0.460  0.926  
#>  3 1              3 2.63    -1.83  0.0176  0.729  2.63   
#>  4 1              4 0.0326  -1.40  0.0461  0.0874 0.0326 
#>  5 1              5 8.64    -0.970 0.0974  0.974  8.64   
#>  6 1              6 0.00239 -0.539 0.168   0.0237 0.00239
#>  7 1              7 5.16    -0.108 0.235   0.898  5.16   
#>  8 1              8 5.95     0.323 0.273   0.925  5.95   
#>  9 1              9 3.34     0.754 0.266   0.794  3.34   
#> 10 1             10 0.142    1.18  0.222   0.182  0.142  
#> # ℹ 40 more rows