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Tidy Randomly Generated T Distribution Tibble

Source: R/random-tidy-t.R
tidy_t.Rd

This function will generate n random points from a rt 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_t(.n = 50, .df = 1, .ncp = 0, .num_sims = 1, .return_tibble = TRUE)

Arguments

.n

The number of randomly generated points you want.

.df

Degrees of freedom, Inf is allowed.

.ncp

Non-centrality parameter.

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

See also

https://www.itl.nist.gov/div898/handbook/eda/section3/eda3664.htm

Other Continuous Distribution: tidy_beta(), tidy_burr(), tidy_cauchy(), tidy_chisquare(), tidy_exponential(), tidy_f(), tidy_gamma(), tidy_generalized_beta(), tidy_generalized_pareto(), 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_triangular(), tidy_uniform(), tidy_weibull(), tidy_zero_truncated_geometric()

Other T Distribution: util_t_stats_tbl()

Author

Steven P. Sanderson II, MPH

Examples

tidy_t()
#> # A tibble: 50 × 7
#>    sim_number     x       y      dx        dy      p       q
#>    <fct>      <int>   <dbl>   <dbl>     <dbl>  <dbl>   <dbl>
#>  1 1              1   0.494 -14.2   0.000320  0.646    0.494
#>  2 1              2   0.373 -12.1   0.00188   0.614    0.373
#>  3 1              3  -0.247  -9.90  0.0000237 0.423   -0.247
#>  4 1              4   0.408  -7.73  0.00579   0.623    0.408
#>  5 1              5   0.397  -5.56  0.000219  0.620    0.397
#>  6 1              6  -2.03   -3.39  0.0137    0.146   -2.03 
#>  7 1              7   4.60   -1.22  0.154     0.932    4.60 
#>  8 1              8 -13.0     0.948 0.184     0.0244 -13.0  
#>  9 1              9  -0.177   3.12  0.0696    0.444   -0.177
#> 10 1             10  -0.436   5.29  0.00528   0.369   -0.436
#> # ℹ 40 more rows