gsir-te
Getting Started in R -- Tinyverse Edition (by eddelbuettel)
data.table
R's data.table package extends data.frame: (by Rdatatable)
gsir-te | data.table | |
---|---|---|
1 | 16 | |
230 | 3,478 | |
- | 0.3% | |
0.0 | 9.6 | |
about 5 years ago | 7 days ago | |
R | R | |
GNU General Public License v3.0 only | Mozilla Public License 2.0 |
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.
gsir-te
Posts with mentions or reviews of gsir-te.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-13.
-
I wrote one of the fastest DataFrame libraries
I dropped dplyr in favor of data.table and never looked back.
https://github.com/eddelbuettel/gsir-te
data.table
Posts with mentions or reviews of data.table.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-21.
- Data.table: R's data.table package extends data.frame
-
Discovering Copy-on-Write in R
The data.table package may also make a huge difference in performance, and often simplifies the code as well https://github.com/Rdatatable/data.table
- new governance being proposed for data.table
-
Local development environment for the data.table R project
After the partial success with the development environment for R-yaml we tried another R package called data.table as part of the Open Source Development Course. Eventually we managed to run the tests of this too.
-
Alternative to Pandas
There's datatable. I haven't used it much, but the R version (data.table) is phenomenal.
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Do python packages have long form documentation? If so can someone provide me a sample?
data.table README.md
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How to move โtimeโ to a new column
That's an old bug in data.table v1.12.2. It's been fixed for a while now. If you update your data.table version (e.g., install.packages("data.table") ) and retry then it should work fine.
-
Hiring an R coder to improve efficiency of code?
Some suggestions: (1) https://github.com/Rdatatable/data.table Code based on the data.table will probably be fastest. There are a number of reasons for this. More here: https://cran.r-project.org/web/packages/data.table/vignettes/ and here: https://rdatatable.gitlab.io/data.table/library/data.table/html/datatable-optimize.html The GForce set of optimizations is well explained here: https://www.brodieg.com/2019/02/24/a-strategy-for-faster-group-statisitics/ (2) setDTthreads() is your friend in data.table (3) I have found (on Windows at least) Microsoft Open R use of parallel MKL faster than CRAN's latest release. See https://mran.microsoft.com/documents/rro/multithread Microsoft recommends using setMKLthreads() if it will help. (4) I think rfast ( https://github.com/RfastOfficial/Rfast ) is a library worth considering although I don't know if it will help you with brms and stan operations.
-
Piping in R is like baking!
Take a look at the 22nd new feature of v1.14.3 on development here.
- memory leak after data.table::fread()?
What are some alternatives?
When comparing gsir-te and data.table you can also consider the following projects:
vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second ๐
rust-dataframe - A Rust DataFrame implementation, built on Apache Arrow
siuba - Python library for using dplyr like syntax with pandas and SQL
TypedTables.jl - Simple, fast, column-based storage for data analysis in Julia
ballista - Distributed compute platform implemented in Rust, and powered by Apache Arrow.
db-benchmark - reproducible benchmark of database-like ops
awesome-pandas-alternatives - Awesome list of alternative dataframe libraries in Python.
datatable - A Python package for manipulating 2-dimensional tabular data structures