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This function will generate n random points from a exponential distribution with a user provided, .rate, 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_exponential(.n = 50, .rate = 1, .num_sims = 1)

Arguments

.n

The number of randomly generated points you want.

.rate

A vector of rates

.num_sims

The number of randomly generated simulations you want.

Value

A tibble of randomly generated data.

Details

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

Author

Steven P. Sanderson II, MPH

Examples

tidy_exponential()
#> # A tibble: 50 × 7
#>    sim_number     x     y      dx      dy     p     q
#>    <fct>      <int> <dbl>   <dbl>   <dbl> <dbl> <dbl>
#>  1 1              1 0.190 -0.606  0.00139 0.173 0.190
#>  2 1              2 0.140 -0.478  0.00804 0.130 0.140
#>  3 1              3 0.189 -0.349  0.0345  0.172 0.189
#>  4 1              4 0.690 -0.221  0.111   0.499 0.690
#>  5 1              5 0.393 -0.0927 0.268   0.325 0.393
#>  6 1              6 1.10   0.0357 0.500   0.668 1.10 
#>  7 1              7 1.62   0.164  0.733   0.802 1.62 
#>  8 1              8 0.428  0.292  0.869   0.348 0.428
#>  9 1              9 0.294  0.421  0.864   0.254 0.294
#> 10 1             10 0.657  0.549  0.754   0.481 0.657
#> # ℹ 40 more rows