Package: distrr 0.0.6.9000
distrr: Estimate and Manage Empirical Distributions
Tools to estimate and manage empirical distributions, which should work with survey data. One of the main features is the possibility to create data cubes of estimated statistics, that include all the combinations of the variables of interest (see for example functions dcc5() and dcc6()).
Authors:
distrr_0.0.6.9000.tar.gz
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distrr_0.0.6.9000.tgz(r-4.4-any)distrr_0.0.6.9000.tgz(r-4.3-any)
distrr_0.0.6.9000.tar.gz(r-4.5-noble)distrr_0.0.6.9000.tar.gz(r-4.4-noble)
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distrr.pdf |distrr.html✨
distrr/json (API)
NEWS
| # Install 'distrr' in R: |
| install.packages('distrr', repos = c('https://gibonet.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gibonet/distrr/issues
- invented_wages - Invented dataset with wages of men and women.
Last updated 15 days agofrom:ab6b198d3b. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 03 2024 |
| R-4.5-win | OK | Sep 03 2024 |
| R-4.5-linux | OK | Sep 03 2024 |
| R-4.4-win | OK | Sep 03 2024 |
| R-4.4-mac | OK | Sep 03 2024 |
| R-4.3-win | OK | Sep 03 2024 |
| R-4.3-mac | OK | Sep 03 2024 |
Exports:combn_chardccdcc2dcc5dcc6dcc6_fixedextract_uniqueextract_unique2extract_unique3extract_unique4extract_unique5Fhat_conditional_Fhat_df_jointfun_only_jointwq
Dependencies:clicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generate all combinations of the elements of a character vector | combn_char |
| Data cube creation (dcc) | dcc dcc2 dcc5 |
| Data cube creation | dcc6 dcc6_fixed |
| Functions to be used in conjunction with 'dcc' family | extract_unique extract_unique2 extract_unique3 extract_unique4 extract_unique5 |
| Weighted empirical cumulative distribution function (ecdf), conditional on one or more variables | Fhat_conditional_ |
| Weighted empirical cumulative distribution function (data frame version) | Fhat_df_ |
| Invented dataset with wages of men and women. | invented_wages |
| A minimal function which counts the number of observations by groups in a data frame | jointfun_ |
| Keeps only joint distribution (removes '.total'). | only_joint |
| Empirical weighted quantile | wq |
