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# Tidy Randomly Generated Chisquare (Non-Central) Distribution Tibble

Source: `R/random-tidy-chisquare.R`
`tidy_chisquare.Rd`

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,
      .return_tibble = TRUE
    )

## 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.

.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::rchisq()`, and its underlying `p`, `d`, and `q` functions. For more information please see `stats::rchisq()`

## See also

https://www.itl.nist.gov/div898/handbook/eda/section3/eda3666.htm

Other Continuous Distribution: `tidy_beta()`, `tidy_burr()`, `tidy_cauchy()`, `tidy_exponential()`, `tidy_f()`, `tidy_gamma()`, `tidy_generalized_beta()`, `tidy_generalized_pareto()`, `tidy_geometric()`, `tidy_inverse_burr()`, `tidy_inverse_exponential()`, `tidy_inverse_gamma()`, `tidy_inverse_normal()`, `tidy_inverse_pareto()`, `tidy_inverse_weibull()`, `tidy_logistic()`, `tidy_lognormal()`, `tidy_normal()`, `tidy_paralogistic()`, `tidy_pareto()`, `tidy_pareto1()`, `tidy_t()`, `tidy_triangular()`, `tidy_uniform()`, `tidy_weibull()`, `tidy_zero_truncated_geometric()`

Other Chisquare: `util_chisquare_stats_tbl()`

## 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 0.0110  -2.58   0.00141 0.0507 0.0110
    #>  2 1              2 5.28    -2.22   0.00471 0.902  5.28
    #>  3 1              3 1.39    -1.86   0.0133  0.556  1.39
    #>  4 1              4 0.00843 -1.51   0.0321  0.0444 0.00843
    #>  5 1              5 0.0290  -1.15   0.0659  0.0825 0.0290
    #>  6 1              6 2.90    -0.793  0.116   0.756  2.90
    #>  7 1              7 0.369   -0.436  0.174   0.293  0.369
    #>  8 1              8 6.24    -0.0799 0.227   0.933  6.24
    #>  9 1              9 3.64     0.277  0.257   0.816  3.64
    #> 10 1             10 3.95     0.633  0.258   0.837  3.95
    #> # ℹ 40 more rows