Package: varhandle 2.0.6
varhandle: Functions for Robust Variable Handling
Variables are the fundamental parts of each programming language but handling them efficiently might be frustrating for programmers. This package contains some functions to help user (especially data explorers) to make more sense of their variables and take the most out of variables and hardware resources. These functions are written and crafted since 2014 with years of experience in statistical data analysis on high-dimensional data, and for each of them there was a need. Functions in this package are supposed to be efficient and easy to use, hence they will be frequently updated to make them more convenient.
Authors:
varhandle_2.0.6.tar.gz
varhandle_2.0.6.zip(r-4.5)varhandle_2.0.6.zip(r-4.4)varhandle_2.0.6.zip(r-4.3)
varhandle_2.0.6.tgz(r-4.4-any)varhandle_2.0.6.tgz(r-4.3-any)
varhandle_2.0.6.tar.gz(r-4.5-noble)varhandle_2.0.6.tar.gz(r-4.4-noble)
varhandle_2.0.6.tgz(r-4.4-emscripten)varhandle_2.0.6.tgz(r-4.3-emscripten)
varhandle.pdf |varhandle.html✨
varhandle/json (API)
NEWS
| # Install 'varhandle' in R: |
| install.packages('varhandle', repos = c('https://mmahmoudian.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://codeberg.org/mehrad/varhandle
Last updated 1 years agofrom:b1ae97a246. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win | OK | Nov 08 2024 |
| R-4.5-linux | OK | Nov 08 2024 |
| R-4.4-win | OK | Nov 08 2024 |
| R-4.4-mac | OK | Nov 08 2024 |
| R-4.3-win | OK | Nov 08 2024 |
| R-4.3-mac | OK | Nov 08 2024 |
Exports:check.numericinspect.napin.narm.all.butsave.varto.dummyunfactorvar.info
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A Package to Work and Handle Variables Easier, Convenient and Flawless | varhandle-package varhandle |
| Check the vector's possibility to convert to numeric | check.numeric |
| inspect matrix or data.frame regarding NAs | inspect.na |
| Pinpoint NAs in a vector, matrix or data.frame | pin.na |
| Remove all variables except those that you mention | rm.all.but |
| Save variables separate files | save.var |
| Convert categorical vector into dummy binary dataframe | to.dummy |
| Convert factor into appropriate class | unfactor |
| Get a detailed list of variables | var.info |
