tidy_triangular: Generate Tidy Data from Triangular Distribution

Description

This function generates tidy data from the triangular distribution.

Usage

tidy_triangular(
  .n = 50,
  .min = 0,
  .max = 1,
  .mode = 1/2,
  .num_sims = 1,
  .return_tibble = TRUE
)

Value

A tibble of randomly generated data.

Arguments

.n: The number of x values for each simulation.
.min: The minimum value of the triangular distribution.
.max: The maximum value of the triangular distribution.
.mode: The mode (peak) value of the triangular distribution.
.num_sims: The number of simulations to perform.
.return_tibble: A logical value indicating whether to return the result as a tibble. Default is TRUE.

Author

Steven P. Sanderson II, MPH

Details

The function takes parameters for the triangular distribution (minimum, maximum, mode), the number of x values (n), the number of simulations (num_sims), and an option to return the result as a tibble (return_tibble). It performs various checks on the input parameters to ensure validity. The result is a data frame or tibble with tidy data for further analysis.

Other Continuous Distribution: tidy_beta(), tidy_burr(), tidy_cauchy(), tidy_chisquare(), 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_pareto(), tidy_pareto1(), tidy_t(), tidy_uniform(), tidy_weibull(), tidy_zero_truncated_geometric()

Other Triangular: util_triangular_param_estimate(), util_triangular_stats_tbl()

Examples

Run this code

tidy_triangular(.return_tibble = TRUE)

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