Other packages > Find by keyword >

TidyDensity  

Functions for Tidy Analysis and Generation of Random Data
View on CRAN: Click here


Download and install TidyDensity package within the R console
Install from CRAN:
install.packages("TidyDensity")

Install from Github:
library("remotes")
install_github("cran/TidyDensity")

Install by package version:
library("remotes")
install_version("TidyDensity", "1.5.0")



Attach the package and use:
library("TidyDensity")
Maintained by
Steven Sanderson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-21
Latest Update: 2023-05-19
Description:
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'.
How to cite:
Steven Sanderson (2022). TidyDensity: Functions for Tidy Analysis and Generation of Random Data. R package version 1.5.0, https://cran.r-project.org/web/packages/TidyDensity. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.1 (2022-01-21 09:52), 1.0.0 (2022-03-08 21:50), 1.0.1 (2022-03-27 15:30), 1.1.0 (2022-05-06 19:20), 1.2.0 (2022-06-08 15:50), 1.2.1 (2022-07-19 20:50), 1.2.2 (2022-08-10 09:30), 1.2.3 (2022-10-04 06:00), 1.2.4 (2022-11-16 16:40), 1.2.5 (2023-05-19 16:30), 1.2.6 (2023-10-30 15:30), 1.3.0 (2024-01-09 12:10), 1.4.0 (2024-04-26 15:20)
Other packages that cited TidyDensity R package
View TidyDensity citation profile
Other R packages that TidyDensity depends, imports, suggests or enhances
Complete documentation for TidyDensity
Functions, R codes and Examples using the TidyDensity R package
Some associated functions: bootstrap_density_augment . bootstrap_p_augment . bootstrap_p_vec . bootstrap_q_augment . bootstrap_q_vec . bootstrap_stat_plot . bootstrap_unnest_tbl . cgmean . chmean . ci_hi . ci_lo . ckurtosis . cmean . cmedian . color_blind . csd . cskewness . cvar . dist_type_extractor . pipe . td_scale_color_colorblind . td_scale_fill_colorblind . tidy_autoplot . tidy_bernoulli . tidy_beta . tidy_binomial . tidy_bootstrap . tidy_burr . tidy_cauchy . tidy_chisquare . tidy_combine_distributions . tidy_combined_autoplot . tidy_distribution_comparison . tidy_distribution_summary_tbl . tidy_empirical . tidy_exponential . tidy_f . tidy_four_autoplot . tidy_gamma . tidy_generalized_beta . tidy_generalized_pareto . tidy_geometric . tidy_hypergeometric . tidy_inverse_burr . tidy_inverse_exponential . tidy_inverse_gamma . tidy_inverse_normal . tidy_inverse_pareto . tidy_inverse_weibull . tidy_kurtosis_vec . tidy_logistic . tidy_lognormal . tidy_mixture_density . tidy_multi_dist_autoplot . tidy_multi_single_dist . tidy_negative_binomial . tidy_normal . tidy_paralogistic . tidy_pareto . tidy_pareto1 . tidy_poisson . tidy_random_walk . tidy_random_walk_autoplot . tidy_range_statistic . tidy_scale_zero_one_vec . tidy_skewness_vec . tidy_stat_tbl . tidy_t . tidy_uniform . tidy_weibull . tidy_zero_truncated_binomial . tidy_zero_truncated_geometric . tidy_zero_truncated_negative_binomial . tidy_zero_truncated_poisson . tidyeval . util_bernoulli_param_estimate . util_bernoulli_stats_tbl . util_beta_param_estimate . util_beta_stats_tbl . util_binomial_param_estimate . util_binomial_stats_tbl . util_cauchy_param_estimate . util_cauchy_stats_tbl . util_chisquare_stats_tbl . util_exponential_param_estimate . util_exponential_stats_tbl . util_f_stats_tbl . util_gamma_param_estimate . util_gamma_stats_tbl . util_geometric_param_estimate . util_geometric_stats_tbl . util_hypergeometric_param_estimate . util_hypergeometric_stats_tbl . util_logistic_param_estimate . util_logistic_stats_tbl . util_lognormal_param_estimate . util_lognormal_stats_tbl . util_negative_binomial_param_estimate . util_negative_binomial_stats_tbl . util_normal_param_estimate . util_normal_stats_tbl . util_pareto_param_estimate . util_pareto_stats_tbl . util_poisson_param_estimate . util_poisson_stats_tbl . util_t_stats_tbl . util_uniform_param_estimate . util_uniform_stats_tbl . util_weibull_param_estimate . util_weibull_stats_tbl . 
Some associated R codes: 00_global_variables.R . augment-bootstrap-density.R . augment-bootstrap-p.R . augment-bootstrap-q.R . autoplot-combined-dist.R . autoplot-four-graphs.R . autoplot-multi-dist.R . autoplot-randomwalk.R . autoplot.R . bootstrap-unnest-tbl.R . combine-multi-single-dist-tbl.R . combine-tidy-distributions-tbl.R . empirical-tidy-bootstrap.R . empirical-tidy.R . est-param-bernoulli.R . est-param-beta.R . est-param-binomial.R . est-param-cauchy.R . est-param-exponential.R . est-param-gamma.R . est-param-geometric.R . est-param-hypergeometric.R . est-param-logistic.R . est-param-lognormal.R . est-param-negative-binomial.R . est-param-normal.R . est-param-pareto.R . est-param-poisson.R . est-param-uniform.R . est-param-weibull.R . helper-dist-type-extract.R . palette-color-blind.R . plot-bootstrap-stat.R . random-tidy-bernoulli.R . random-tidy-beta.R . random-tidy-binomial.R . random-tidy-burr-inverse.R . random-tidy-burr.R . random-tidy-cauchy.R . random-tidy-chisquare.R . random-tidy-exponential-inverse.R . random-tidy-exponential.R . random-tidy-f.R . random-tidy-gamma-inverse.R . random-tidy-gamma.R . random-tidy-general-beta.R . random-tidy-general-pareto.R . random-tidy-geom.R . random-tidy-hypergeometric.R . random-tidy-logistic.R . random-tidy-lognormal.R . random-tidy-mixture.R . random-tidy-negative-binomial.R . random-tidy-normal-inverse.R . random-tidy-normal.R . random-tidy-paralogistic.R . random-tidy-pareto-inverse.R . random-tidy-pareto-single-param.R . random-tidy-pareto.R . random-tidy-poisson.R . random-tidy-t.R . random-tidy-uniform.R . random-tidy-weibull-inverse.R . random-tidy-weibull.R . random-tidy-zero-truc-poisson.R . random-tidy-zero-trunc-geometric.R . random-tidy-zero-truncated-binomial.R . random-zero-trunc-negative-binomial.R . stats-bernoulli-tbl.R . stats-beta-tbl.R . stats-binomial-tbl.R . stats-cauchy-tbl.R . stats-chisquare-tbl.R . stats-confidence-intervals.R . stats-exponential-tbl.R . stats-f-tbl.R . stats-gamma-tbl.R . stats-geometric-tbl.R . stats-hypergeometric-tbl.R . stats-logistic-tbl.R . stats-lognormal-tbl.R . stats-negative-binomial-tbl.R . stats-normal-tbl.R . stats-pareto-tbl.R . stats-poisson-tbl.R . stats-t-tbl.R . stats-tidy-stat-func-tbl.R . stats-uniform-tbl.R . stats-weibull-tbl.R . tidy-random-walk.R . tidy_distribution_summary_tbl.R . util-distribution-comparison.R . utils-pipe.R . utils-tidy-eval.R . vec-bootstrap-p.R . vec-bootstrap-q.R . vec-cumulative-functions.R . vec-kurtosis.R . vec-range.R . vec-scale-zero-one.R . vec-skewness.R . zzz.R .  Full TidyDensity package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA