janitor
simple tools for data cleaning in R (by sfirke)
desctable
An R package to produce descriptive and comparative tables (by desctable)
Our great sponsors
| janitor | desctable | |
|---|---|---|
| 2 | 2 | |
| 1,341 | 51 | |
| - | - | |
| 6.2 | 0.0 | |
| about 2 months ago | about 2 years ago | |
| R | R | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
janitor
Posts with mentions or reviews of janitor.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Working with columns names that are numbers (in this case, years)
I would just clean the names and work with those. Then there is no need to use backticks. Read about the function clean_names in the janitor vignette: https://github.com/sfirke/janitor
-
R Libraries Every Data Scientist Should Know - Pyoflife
I just stumbled across Janitor which can help you clean colum names easily.
desctable
Posts with mentions or reviews of desctable.
We have used some of these posts to build our list of alternatives
and similar projects.
- New to R. Anyone have a go-to way to make a pretty descriptives table?
-
desctable has a website, and a new version!
The new API is not yet complete, but has feature parity with the old one, and will be further developed towards 1.0. (have a look at the roadmap on the github repo) desctable has now full support for purrr::map-like formulas when defining statistics and tests, and a easier to manipulate internal format. There's a new website at https://desctable.github.io, the repo has moved to it's own org (https://github.com/desctable/desctable), and new documentation and vignettes have been written!
What are some alternatives?
When comparing janitor and desctable you can also consider the following projects:
tidyverse - Easily install and load packages from the tidyverse
IntRo - Introduction to R for health data
Practical-Applications-in-R-for-Psychologists - Lesson files for Practical Applications in R for Psychologists.
tidylog - Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.
tidytext - Text mining using tidy tools :sparkles::page_facing_up::sparkles:
datapasta - On top of spaghetti, all covered in cheese....
forcats - 🐈🐈🐈🐈: tools for working with categorical variables (factors)
janitor vs tidyverse
desctable vs IntRo
janitor vs IntRo
desctable vs Practical-Applications-in-R-for-Psychologists
janitor vs Practical-Applications-in-R-for-Psychologists
desctable vs tidyverse
janitor vs tidylog
desctable vs tidytext
janitor vs datapasta
desctable vs tidylog
janitor vs tidytext
desctable vs forcats