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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 1.32  -2.31  0.00139 0.544 1.32 
#>  2 1              2 2.16  -2.07  0.00358 0.674 2.16 
#>  3 1              3 2.56  -1.83  0.00839 0.721 2.56 
#>  4 1              4 0.225 -1.59  0.0179  0.229 0.225
#>  5 1              5 1.67  -1.35  0.0348  0.604 1.67 
#>  6 1              6 0.705 -1.11  0.0616  0.403 0.705
#>  7 1              7 2.85  -0.865 0.0997  0.750 2.85 
#>  8 1              8 5.89  -0.624 0.147   0.923 5.89 
#>  9 1              9 0.428 -0.382 0.199   0.316 0.428
#> 10 1             10 0.627 -0.141 0.246   0.381 0.627
#> # ℹ 40 more rows