![](../logo.png)
Distribution Statistics for Zero Truncated Binomial Distribution
Source:R/stats-zt-binomial-tbl.R
util_zero_truncated_binomial_stats_tbl.Rd
Returns distribution statistics in a tibble for Zero Truncated Binomial distribution.
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 Binomial:
tidy_binomial()
,
tidy_negative_binomial()
,
tidy_zero_truncated_binomial()
,
tidy_zero_truncated_negative_binomial()
,
util_binomial_param_estimate()
,
util_binomial_stats_tbl()
,
util_negative_binomial_param_estimate()
,
util_zero_truncated_binomial_param_estimate()
,
util_zero_truncated_negative_binomial_param_estimate()
,
util_zero_truncated_negative_binomial_stats_tbl()
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_triangular_stats_tbl()
,
util_uniform_stats_tbl()
,
util_weibull_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_zero_truncated_binomial(.size = 10, .prob = 0.1) |>
util_zero_truncated_binomial_stats_tbl() |>
glimpse()
#> Rows: 1
#> Columns: 15
#> $ tidy_function <chr> "tidy_zero_truncated_binomial"
#> $ function_call <chr> "Zero Truncated Binomial c(10, 0.1)"
#> $ distribution <chr> "Zero Truncated Binomial"
#> $ distribution_type <chr> "discrete"
#> $ points <dbl> 50
#> $ simulations <dbl> 1
#> $ mean <dbl> 1.58
#> $ mode <dbl> 1
#> $ range <chr> "1 to 4"
#> $ std_dv <dbl> 0.8103917
#> $ coeff_var <dbl> 0.5129061
#> $ computed_std_skew <dbl> 1.133051
#> $ computed_std_kurt <dbl> 3.212143
#> $ ci_lo <dbl> 1
#> $ ci_hi <dbl> 3