Function reference • TidyDensity

Continuous Distribution Data Generating Functions

Functions that generate random data from continuous distributions and return tibbles

tidy_beta(): Tidy Randomly Generated Beta Distribution Tibble

tidy_burr(): Tidy Randomly Generated Burr Distribution Tibble

tidy_cauchy(): Tidy Randomly Generated Cauchy Distribution Tibble

tidy_chisquare(): Tidy Randomly Generated Chisquare (Non-Central) Distribution Tibble

tidy_exponential(): Tidy Randomly Generated Exponential Distribution Tibble

tidy_f(): Tidy Randomly Generated F Distribution Tibble

tidy_gamma(): Tidy Randomly Generated Gamma Distribution Tibble

tidy_generalized_beta(): Tidy Randomly Generated Generalized Beta Distribution Tibble

tidy_generalized_pareto(): Tidy Randomly Generated Generalized Pareto Distribution Tibble

tidy_geometric(): Tidy Randomly Generated Geometric Distribution Tibble

tidy_inverse_burr(): Tidy Randomly Generated Inverse Burr Distribution Tibble

tidy_inverse_exponential(): Tidy Randomly Generated Inverse Exponential Distribution Tibble

tidy_inverse_gamma(): Tidy Randomly Generated Inverse Gamma Distribution Tibble

tidy_inverse_normal(): Tidy Randomly Generated Inverse Gaussian Distribution Tibble

tidy_inverse_pareto(): Tidy Randomly Generated Inverse Pareto Distribution Tibble

tidy_inverse_weibull(): Tidy Randomly Generated Inverse Weibull Distribution Tibble

tidy_logistic(): Tidy Randomly Generated Logistic Distribution Tibble

tidy_lognormal(): Tidy Randomly Generated Lognormal Distribution Tibble

tidy_normal(): Tidy Randomly Generated Gaussian Distribution Tibble

tidy_paralogistic(): Tidy Randomly Generated Paralogistic Distribution Tibble

tidy_pareto(): Tidy Randomly Generated Pareto Distribution Tibble

tidy_pareto1(): Tidy Randomly Generated Pareto Single Parameter Distribution Tibble

tidy_t(): Tidy Randomly Generated T Distribution Tibble

tidy_triangular(): Generate Tidy Data from Triangular Distribution

tidy_uniform(): Tidy Randomly Generated Uniform Distribution Tibble

tidy_weibull(): Tidy Randomly Generated Weibull Distribution Tibble

tidy_zero_truncated_geometric(): Tidy Randomly Generated Zero Truncated Geometric Distribution Tibble

Discrete Distribution Data Generating Functions

Functions that generate random data from discrete distributions and return tibbles

tidy_bernoulli(): Tidy Randomly Generated Bernoulli Distribution Tibble

tidy_binomial(): Tidy Randomly Generated Binomial Distribution Tibble

tidy_hypergeometric(): Tidy Randomly Generated Hypergeometric Distribution Tibble

tidy_negative_binomial(): Tidy Randomly Generated Negative Binomial Distribution Tibble

tidy_poisson(): Tidy Randomly Generated Poisson Distribution Tibble

tidy_zero_truncated_binomial(): Tidy Randomly Generated Binomial Distribution Tibble

tidy_zero_truncated_negative_binomial(): Tidy Randomly Generated Binomial Distribution Tibble

tidy_zero_truncated_poisson(): Tidy Randomly Generated Zero Truncated Poisson Distribution Tibble

Empirical Data Functions

tidy_empirical(): Tidy Empirical

tidy_distribution_comparison(): Compare Empirical Data to Distributions

Multiple Distribution Tibble

Generate multiple simulations of the same distribution with different parameters

tidy_combine_distributions(): Combine Multiple Tidy Distributions of Different Types

tidy_multi_single_dist(): Generate Multiple Tidy Distributions of a single type

Mixture Model Data

Function for creating mixture model data

tidy_mixture_density(): Tidy Mixture Data

Bootstrap

Functions for bootstrapping data

bootstrap_density_augment(): Bootstrap Density Tibble

bootstrap_p_augment(): Augment Bootstrap P

bootstrap_p_vec(): Compute Bootstrap P of a Vector

bootstrap_q_augment(): Augment Bootstrap Q

bootstrap_q_vec(): Compute Bootstrap Q of a Vector

bootstrap_stat_plot(): Bootstrap Stat Plot

bootstrap_unnest_tbl(): Unnest Tidy Bootstrap Tibble

tidy_bootstrap(): Bootstrap Empirical Data

Parameter Estimation Functions

Functions that help to estimate parameters from raw data.

util_bernoulli_param_estimate(): Estimate Bernoulli Parameters

util_beta_param_estimate(): Estimate Beta Parameters

util_binomial_param_estimate(): Estimate Binomial Parameters

util_burr_param_estimate(): Estimate Burr Parameters

util_cauchy_param_estimate(): Estimate Cauchy Parameters

util_chisquare_param_estimate(): Estimate Chisquare Parameters

util_exponential_param_estimate(): Estimate Exponential Parameters

util_gamma_param_estimate(): Estimate Gamma Parameters

util_geometric_param_estimate(): Estimate Geometric Parameters

util_hypergeometric_param_estimate(): Estimate Hypergeometric Parameters

util_logistic_param_estimate(): Estimate Logistic Parameters

util_lognormal_param_estimate(): Estimate Lognormal Parameters

util_negative_binomial_param_estimate(): Estimate Negative Binomial Parameters

util_normal_param_estimate(): Estimate Normal Gaussian Parameters

util_pareto_param_estimate(): Estimate Pareto Parameters

util_poisson_param_estimate(): Estimate Poisson Parameters

util_triangular_param_estimate(): Estimate Triangular Parameters

util_uniform_param_estimate(): Estimate Uniform Parameters

util_weibull_param_estimate(): Estimate Weibull Parameters

Distribution Statistics

Functions that generate a tibble of distribution statistics

util_bernoulli_stats_tbl(): Distribution Statistics

util_beta_stats_tbl(): Distribution Statistics

util_binomial_stats_tbl(): Distribution Statistics

util_burr_stats_tbl(): Distribution Statistics

util_cauchy_stats_tbl(): Distribution Statistics

util_chisquare_stats_tbl(): Distribution Statistics

util_exponential_stats_tbl(): Distribution Statistics

util_f_stats_tbl(): Distribution Statistics

util_gamma_stats_tbl(): Distribution Statistics

util_geometric_stats_tbl(): Distribution Statistics

util_hypergeometric_stats_tbl(): Distribution Statistics

util_logistic_stats_tbl(): Distribution Statistics

util_lognormal_stats_tbl(): Distribution Statistics

util_negative_binomial_stats_tbl(): Distribution Statistics

util_normal_stats_tbl(): Distribution Statistics

util_pareto_stats_tbl(): Distribution Statistics

util_poisson_stats_tbl(): Distribution Statistics

util_triangular_stats_tbl(): Distribution Statistics

util_t_stats_tbl(): Distribution Statistics

util_uniform_stats_tbl(): Distribution Statistics

util_weibull_stats_tbl(): Distribution Statistics

Random Walk Functions

Functions that generate random walk data and return tibbles

tidy_random_walk(): Tidy Random Walk

Plotting Functions

Functions that generate plots of the tidy_ distribution functions.

bootstrap_stat_plot(): Bootstrap Stat Plot

tidy_autoplot(): Automatic Plot of Density Data

tidy_combined_autoplot(): Automatic Plot of Combined Multi Dist Data

tidy_four_autoplot(): Automatic Plot of Density Data

tidy_multi_dist_autoplot(): Automatic Plot of Multi Dist Data

tidy_random_walk_autoplot(): Automatic Plot of Random Walk Data

triangle_plot(): Triangle Distribution PDF Plot

color_blind(): Provide Colorblind Compliant Colors

td_scale_color_colorblind(): Provide Colorblind Compliant Colors

td_scale_fill_colorblind(): Provide Colorblind Compliant Colors

Statistic Functions

Functions that return a statistic

ci_hi(): Confidence Interval Generic

ci_lo(): Confidence Interval Generic

tidy_kurtosis_vec(): Compute Kurtosis of a Vector

tidy_range_statistic(): Get the range statistic

tidy_skewness_vec(): Compute Skewness of a Vector

tidy_stat_tbl(): Tidy Stats of Tidy Distribution

Table Functions

Functions that generate tibbles

tidy_distribution_summary_tbl(): Tidy Distribution Summary Statistics Tibble

Vector Functions

Functions that work on vectors

tidy_scale_zero_one_vec(): Vector Function Scale to Zero and One

bootstrap_p_vec(): Compute Bootstrap P of a Vector

bootstrap_q_vec(): Compute Bootstrap Q of a Vector

cgmean(): Cumulative Geometric Mean

chmean(): Cumulative Harmonic Mean

ckurtosis(): Cumulative Kurtosis

cmean(): Cumulative Mean

cmedian(): Cumulative Median

csd(): Cumulative Standard Deviation

cskewness(): Cumulative Skewness

cvar(): Cumulative Variance

tidy_kurtosis_vec(): Compute Kurtosis of a Vector

tidy_skewness_vec(): Compute Skewness of a Vector

Helper Functions

Helpers mainly for internal use

dist_type_extractor(): Extract Distribution Type from Tidy Distribution Object

Utilities

Utility Functions

check_duplicate_rows(): Check for Duplicate Rows in a Data Frame

convert_to_ts(): Convert Data to Time Series Format

quantile_normalize(): Perform quantile normalization on a numeric matrix/data.frame

tidy_mcmc_sampling(): Tidy MCMC Sampling

util_beta_aic(): Calculate Akaike Information Criterion (AIC) for Beta Distribution

util_binomial_aic(): Calculate Akaike Information Criterion (AIC) for Binomial Distribution

util_cauchy_aic(): Calculate Akaike Information Criterion (AIC) for Cauchy Distribution

util_chisq_aic(): Calculate Akaike Information Criterion (AIC) for Chi-Square Distribution

util_exponential_aic(): Calculate Akaike Information Criterion (AIC) for Exponential Distribution

util_gamma_aic(): Calculate Akaike Information Criterion (AIC) for Gamma Distribution

util_geometric_aic(): Calculate Akaike Information Criterion (AIC) for Geometric Distribution

util_hypergeometric_aic(): Calculate Akaike Information Criterion (AIC) for Hypergeometric Distribution

util_logistic_aic(): Calculate Akaike Information Criterion (AIC) for Logistic Distribution

util_lognormal_aic(): Calculate Akaike Information Criterion (AIC) for Log-Normal Distribution

util_normal_aic(): Calculate Akaike Information Criterion (AIC) for Normal Distribution

util_pareto_aic(): Calculate Akaike Information Criterion (AIC) for Pareto Distribution

util_poisson_aic(): Calculate Akaike Information Criterion (AIC) for Poisson Distribution

util_uniform_aic(): Calculate Akaike Information Criterion (AIC) for Uniform Distribution

util_weibull_aic(): Calculate Akaike Information Criterion (AIC) for Weibull Distribution