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# Tidy Randomly Generated Exponential Distribution Tibble

Source: `R/random-tidy-exponential.R`
`tidy_exponential.Rd`

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, .return_tibble = TRUE)

## 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.

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

## See also

https://www.itl.nist.gov/div898/handbook/eda/section3/eda3667.htm

Other Continuous Distribution: `tidy_beta()`, `tidy_burr()`, `tidy_cauchy()`, `tidy_chisquare()`, `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 Exponential: `tidy_inverse_exponential()`, `util_exponential_param_estimate()`, `util_exponential_stats_tbl()`

## 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 1.29  -0.796  0.000736 0.724 1.29
    #>  2 1              2 0.996 -0.669  0.00315  0.631 0.996
    #>  3 1              3 0.503 -0.543  0.0111   0.395 0.503
    #>  4 1              4 0.853 -0.416  0.0322   0.574 0.853
    #>  5 1              5 0.690 -0.290  0.0773   0.499 0.690
    #>  6 1              6 2.19  -0.163  0.155    0.888 2.19
    #>  7 1              7 0.601 -0.0369 0.262    0.452 0.601
    #>  8 1              8 1.52   0.0896 0.380    0.781 1.52
    #>  9 1              9 0.986  0.216  0.480    0.627 0.986
    #> 10 1             10 0.999  0.343  0.544    0.632 0.999
    #> # ℹ 40 more rows