https://github.com/contefranz/statutils
A collection of statistical utilities regarding both models and data management
https://github.com/contefranz/statutils
Last synced: about 1 month ago
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A collection of statistical utilities regarding both models and data management
- Host: GitHub
- URL: https://github.com/contefranz/statutils
- Owner: contefranz
- License: gpl-3.0
- Created: 2016-12-01T20:50:26.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-02-08T09:13:09.000Z (over 8 years ago)
- Last Synced: 2025-02-15T03:13:51.029Z (3 months ago)
- Language: R
- Size: 46.9 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- License: LICENSE
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README
---
**statutils** is a collection of utilities regarding both modelling,
data management and wrangling. Below is a list
of the current available functions grouped by topic/usage.
### Linear Models
Here you can find two functions:
* `reduce_model()`: a procedure to iteratively reduce a linear model by selecting
predictors according to a given significance threshold.
### General Utilities
Here you can find general purpose utilities:
* `count_na()`: print the number (and the proportion) of missing data in a
`data.frame` like object.
* `def_complete()`: after `mice()` and `complete()` functions in the package `mice`
have been run, the resulting dataset is, based on th `action` argument, a repeated
version of the original input. This is done to track all the simulation runs carried
out with `mice()`. `def_complete()` defines a dataset with the same row number of
the original one, but with no missing data.