Returns distribution statistics in a tibble.
Details
This function will take in a tibble and returns the statistics
of the given type of tidy_ distribution. It is required that data be
passed from a tidy_ distribution function.
See also
Other Triangular:
tidy_triangular(),
util_triangular_param_estimate()
Other Distribution Statistics:
util_bernoulli_stats_tbl(),
util_beta_stats_tbl(),
util_binomial_stats_tbl(),
util_burr_stats_tbl(),
util_cauchy_stats_tbl(),
util_chisquare_stats_tbl(),
util_exponential_stats_tbl(),
util_f_stats_tbl(),
util_gamma_stats_tbl(),
util_generalized_beta_stats_tbl(),
util_generalized_pareto_stats_tbl(),
util_geometric_stats_tbl(),
util_hypergeometric_stats_tbl(),
util_inverse_burr_stats_tbl(),
util_inverse_pareto_stats_tbl(),
util_inverse_weibull_stats_tbl(),
util_logistic_stats_tbl(),
util_lognormal_stats_tbl(),
util_negative_binomial_stats_tbl(),
util_normal_stats_tbl(),
util_paralogistic_stats_tbl(),
util_pareto1_stats_tbl(),
util_pareto_stats_tbl(),
util_poisson_stats_tbl(),
util_t_stats_tbl(),
util_uniform_stats_tbl(),
util_weibull_stats_tbl(),
util_zero_truncated_binomial_stats_tbl(),
util_zero_truncated_geometric_stats_tbl(),
util_zero_truncated_negative_binomial_stats_tbl(),
util_zero_truncated_poisson_stats_tbl()
Examples
library(dplyr)
tidy_triangular() |>
util_triangular_stats_tbl() |>
glimpse()
#> Rows: 1
#> Columns: 19
#> $ tidy_function <chr> "tidy_triangular"
#> $ function_call <chr> "Triangular c(0, 1, 0.5)"
#> $ distribution <chr> "Triangular"
#> $ distribution_type <chr> "continuous"
#> $ points <dbl> 50
#> $ simulations <dbl> 1
#> $ mean <dbl> 0.5
#> $ median <dbl> 0.3535534
#> $ mode <dbl> 1
#> $ range_low <dbl> 0.1226216
#> $ range_high <dbl> 0.8937389
#> $ variance <dbl> 0.04166667
#> $ skewness <dbl> 0
#> $ kurtosis <dbl> -0.6
#> $ entropy <dbl> -0.6931472
#> $ computed_std_skew <dbl> 0.140758
#> $ computed_std_kurt <dbl> 2.149377
#> $ ci_lo <dbl> 0.1410972
#> $ ci_hi <dbl> 0.856655