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 Inverse Weibull:
util_inverse_weibull_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_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_triangular_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)
set.seed(123)
tidy_inverse_weibull() |>
util_inverse_weibull_stats_tbl() |>
glimpse()
#> Rows: 1
#> Columns: 16
#> $ tidy_function <chr> "tidy_inverse_weibull"
#> $ function_call <chr> "Inverse Weibull c(1, 1, 1)"
#> $ distribution <chr> "Inverse Weibull"
#> $ distribution_type <chr> "continuous"
#> $ points <dbl> 50
#> $ simulations <dbl> 1
#> $ mean <dbl> 7.425761
#> $ median <dbl> 1.184009
#> $ mode <dbl> 0.04786914
#> $ range <chr> "0 to Inf"
#> $ std_dv <dbl> 224.0202
#> $ coeff_var <dbl> 30.16798
#> $ computed_std_skew <dbl> 3.186903
#> $ computed_std_kurt <dbl> 11.84056
#> $ ci_lo <dbl> 0.274315
#> $ ci_hi <dbl> 31.62556