Our great sponsors
| tidyr | tidytable | |
|---|---|---|
| 2 | 26 | |
| 1,332 | 434 | |
| 1.0% | - | |
| 6.5 | 8.2 | |
| 3 days ago | 19 days ago | |
| R | R | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
tidyr
-
Frustration: One Year with R
This was fun to play around with. I made some very minor changes and posted at https://gist.github.com/hadley/d54895557fbb0fe0402d2277b9011....
It revealed to me that there's a buglet in `forcats::last()` (https://github.com/tidyverse/forcats/issues/303) and made me wonder if `pivot_longer()` should be able to rename the columns as you pivot them (https://github.com/tidyverse/tidyr/issues/1338)
-
What are your thoughts on data.table vs tidyverse vs tidy syntax with data.table backends (dtplyr, tidytable) in R?
I originally wrote tidytable because dtplyr was missing a lot of functionality my coworkers and I needed, and at the time dtplyr looked like a "forgotten package" (lots of open issues/bugs, very infrequent updates). Hadley Wickham also mentioned at one point [he had no plans for adding tidyr functions)[https://github.com/tidyverse/tidyr/issues/1015#issuecomment-682977139]. He changed his mind on that one - tidyr functions are the ones that I'm in the process of contributing to dtplyr now.
tidytable
- Tidyverse 2.0.0
-
fuzzyjoin - "Error in which(m) : argument to 'which' is not logical"
If you need speed, you should consider using dtplyr (or tidytable), or even dbplyr with duckdb.
-
tidytable v0.10.0 is now on CRAN - use tidyverse-like syntax with data.table speed
What do you think of this instead?
-
Offering several functions to create the same object in my package
Here's an example - I use this in a package I've built called tidytable. Here is the as_tidytable() function I use that uses method dispatch.
-
Dplyr performance issues (Late 2022)
If you're having performance issues with dplyr you can also try out tidytable
-
R Dialects Broke Me
Iād say tidytable is a better option these days as it supports more functions. Although I think dtplyr has improved on this front recently, but still lags. The author of tidytable contributes to dtplyr as well.
-
Why is mlr3 so under-marketed?
I know you said it 'feels much faster' which isn't exactly a data oriented comparison, but tidymodels performs very well. You can see one of the dplyr functions as step_* in tidymodels, for example mutate vs. step_mutate under recipes library. The author of tidytable, which uses data.table, had some revisions due to this conversation, just as an example.
-
Why is {dplyr} so huge, and are there any alternatives or a {dplyr} 'lite' that I can use for the basic mutate, group_by, summarize, etc?
Tidytable is what you might be looking for: https://markfairbanks.github.io/tidytable/, this will require a bit of refactoring (e.g group-bys happen as arguments in summarise/mutate). You'll get data.table like speed in a very compact & complete package.
-
Programming with R {dplyr}
People can also use tidytable and keep the same workflow they're already used to š
- tidytable v0.8.1 is on CRAN - it also comes with a new logo! Need data.table speed with tidyverse syntax? Check out tidytable.
What are some alternatives?
forcats - šššš: tools for working with categorical variables (factors)
dtplyr - Data table backend for dplyr
ggplot2-book - ggplot2: elegant graphics for data analysis
tidypolars - Tidy interface to polars
Frustration-One-Year-With-R - An extremely long review of R.
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
ggplot2 - An implementation of the Grammar of Graphics in R
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
wesanderson - A Wes Anderson color palette for R
root - The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
mech - š¦¾ Main repository for the Mech programming language. Start here!
Tidier.jl - Meta-package for data analysis in Julia, modeled after the R tidyverse.