Tidy Randomly Generated Chisquare (Non-Central) Distribution Tibble — tidy_chisquare • TidyDensity
Description: 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.

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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)

## 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()`

## 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_pareto1()`, `tidy_pareto()`, `tidy_t()`, `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 3.08   -2.66  0.00143 0.772  3.08
    #>  2 1              2 0.0420 -2.40  0.00346 0.0991 0.0420
    #>  3 1              3 0.308  -2.13  0.00766 0.268  0.308
    #>  4 1              4 4.08   -1.87  0.0156  0.845  4.08
    #>  5 1              5 0.0554 -1.61  0.0292  0.114  0.0554
    #>  6 1              6 2.69   -1.35  0.0504  0.734  2.69
    #>  7 1              7 0.322  -1.09  0.0798  0.274  0.322
    #>  8 1              8 4.37   -0.823 0.117   0.861  4.37
    #>  9 1              9 5.45   -0.560 0.157   0.908  5.45
    #> 10 1             10 0.171  -0.298 0.195   0.200  0.171
    #> # ℹ 40 more rows