Package: TidyDensity 1.5.0.9000
TidyDensity: Functions for Tidy Analysis and Generation of Random Data
To make it easy to generate random numbers based upon the underlying stats distribution functions. All data is returned in a tidy and structured format making working with the data simple and straight forward. Given that the data is returned in a tidy 'tibble' it lends itself to working with the rest of the 'tidyverse'.
Authors:
TidyDensity_1.5.0.9000.tar.gz
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TidyDensity.pdf |TidyDensity.html✨
TidyDensity/json (API)
NEWS
| # Install 'TidyDensity' in R: |
| install.packages('TidyDensity', repos = c('https://spsanderson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/spsanderson/tidydensity/issues
bootstrapdensitydistributionsggplot2probabilityr-languagesimulationstatisticstibbletidy
Last updated 4 months agofrom:944f01fc1d. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 28 2024 |
| R-4.5-win | NOTE | Aug 28 2024 |
| R-4.5-linux | NOTE | Aug 28 2024 |
| R-4.4-win | OK | Aug 28 2024 |
| R-4.4-mac | OK | Aug 28 2024 |
| R-4.3-win | OK | Aug 28 2024 |
| R-4.3-mac | OK | Aug 28 2024 |
Exports::=.data%>%as_labelas_namebootstrap_density_augmentbootstrap_p_augmentbootstrap_p_vecbootstrap_q_augmentbootstrap_q_vecbootstrap_stat_plotbootstrap_unnest_tblcgmeancheck_duplicate_rowschmeanci_hici_lockurtosiscmeancmediancolor_blindconvert_to_tscsdcskewnesscvardist_type_extractorenquoenquosquantile_normalizetd_scale_color_colorblindtd_scale_fill_colorblindtidy_autoplottidy_bernoullitidy_betatidy_binomialtidy_bootstraptidy_burrtidy_cauchytidy_chisquaretidy_combine_distributionstidy_combined_autoplottidy_distribution_comparisontidy_distribution_summary_tbltidy_empiricaltidy_exponentialtidy_ftidy_four_autoplottidy_gammatidy_generalized_betatidy_generalized_paretotidy_geometrictidy_hypergeometrictidy_inverse_burrtidy_inverse_exponentialtidy_inverse_gammatidy_inverse_normaltidy_inverse_paretotidy_inverse_weibulltidy_kurtosis_vectidy_logistictidy_lognormaltidy_mcmc_samplingtidy_mixture_densitytidy_multi_dist_autoplottidy_multi_single_disttidy_negative_binomialtidy_normaltidy_paralogistictidy_paretotidy_pareto1tidy_poissontidy_random_walktidy_random_walk_autoplottidy_range_statistictidy_scale_zero_one_vectidy_skewness_vectidy_stat_tbltidy_ttidy_triangulartidy_uniformtidy_weibulltidy_zero_truncated_binomialtidy_zero_truncated_geometrictidy_zero_truncated_negative_binomialtidy_zero_truncated_poissontriangle_plotutil_bernoulli_param_estimateutil_bernoulli_stats_tblutil_beta_aicutil_beta_param_estimateutil_beta_stats_tblutil_binomial_aicutil_binomial_param_estimateutil_binomial_stats_tblutil_burr_param_estimateutil_burr_stats_tblutil_cauchy_aicutil_cauchy_param_estimateutil_cauchy_stats_tblutil_chisq_aicutil_chisquare_param_estimateutil_chisquare_stats_tblutil_exponential_aicutil_exponential_param_estimateutil_exponential_stats_tblutil_f_aicutil_f_param_estimateutil_f_stats_tblutil_gamma_aicutil_gamma_param_estimateutil_gamma_stats_tblutil_generalized_beta_aicutil_generalized_beta_param_estimateutil_generalized_beta_stats_tblutil_generalized_pareto_aicutil_generalized_pareto_param_estimateutil_generalized_pareto_stats_tblutil_geometric_aicutil_geometric_param_estimateutil_geometric_stats_tblutil_hypergeometric_aicutil_hypergeometric_param_estimateutil_hypergeometric_stats_tblutil_inverse_burr_aicutil_inverse_burr_param_estimateutil_inverse_burr_stats_tblutil_inverse_pareto_aicutil_inverse_pareto_param_estimateutil_inverse_pareto_stats_tblutil_inverse_weibull_aicutil_inverse_weibull_param_estimateutil_inverse_weibull_stats_tblutil_logistic_aicutil_logistic_param_estimateutil_logistic_stats_tblutil_lognormal_aicutil_lognormal_param_estimateutil_lognormal_stats_tblutil_negative_binomial_aicutil_negative_binomial_param_estimateutil_negative_binomial_stats_tblutil_normal_aicutil_normal_param_estimateutil_normal_stats_tblutil_paralogistic_aicutil_paralogistic_param_estimateutil_paralogistic_stats_tblutil_pareto_aicutil_pareto_param_estimateutil_pareto_stats_tblutil_pareto1_aicutil_pareto1_param_estimateutil_pareto1_stats_tblutil_poisson_aicutil_poisson_param_estimateutil_poisson_stats_tblutil_t_aicutil_t_param_estimateutil_t_stats_tblutil_triangular_aicutil_triangular_param_estimateutil_triangular_stats_tblutil_uniform_aicutil_uniform_param_estimateutil_uniform_stats_tblutil_weibull_aicutil_weibull_param_estimateutil_weibull_stats_tblutil_zero_truncated_binomial_aicutil_zero_truncated_binomial_param_estimateutil_zero_truncated_binomial_stats_tblutil_zero_truncated_geometric_aicutil_zero_truncated_geometric_param_estimateutil_zero_truncated_geometric_stats_tblutil_zero_truncated_negative_binomial_aicutil_zero_truncated_negative_binomial_param_estimateutil_zero_truncated_negative_binomial_stats_tblutil_zero_truncated_poisson_aicutil_zero_truncated_poisson_param_estimateutil_zero_truncated_poisson_stats_tbl
Dependencies:actuaraskpassbackportsbase64encbroombslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluateexpintfansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmenloptropensslpatchworkpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml
