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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 0.155 -1.04   0.00144 0.143 0.155
#>  2 1              2 0.289 -0.889  0.00530 0.251 0.289
#>  3 1              3 1.92  -0.737  0.0164  0.853 1.92 
#>  4 1              4 1.61  -0.585  0.0429  0.801 1.61 
#>  5 1              5 1.37  -0.432  0.0947  0.747 1.37 
#>  6 1              6 0.571 -0.280  0.178   0.435 0.571
#>  7 1              7 0.642 -0.127  0.287   0.474 0.642
#>  8 1              8 1.92   0.0250 0.400   0.853 1.92 
#>  9 1              9 0.248  0.177  0.490   0.219 0.248
#> 10 1             10 0.976  0.330  0.534   0.623 0.976
#> # … with 40 more rows