disk.frame
awesome-R
| disk.frame | awesome-R | |
|---|---|---|
| 5 | 6 | |
| 593 | 5,783 | |
| 0.3% | - | |
| 0.0 | 4.0 | |
| 3 months ago | 2 months ago | |
| R | R | |
| 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.
disk.frame
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Do you code from memory? Or do you reference things?
Say hello to disk.frame.
- How can I read in only two columns from a massive 10+ GB tab file?
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Data cleaning/ analysis 100-200 million rows of data. Is this doable in R, or is there another program I should try instead?
It depends on your hardware, but it should not be a problem. You might look into disk frame (https://diskframe.com) or similar packages.
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is it possible to have my enviroment objects and work with them on my local drive instead of RAM?
If that doesn't work, the disk.frame package might help. It is new-ish and not common, but does seem to work with data on disk rather than in memory
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We Test PCIe 4.0 Storage: The AnandTech 2021 SSD Benchmark Suite
> The speeds were just stunning to say the least at 15GB/s.
That is amazing. That is around DDR4-1866 speeds, and not far from DDR4-2666 (~21 GB/s). At those speeds I would happily work with dataframes sitting on the disk rather than in memory [1, 2]. Did you benchmark RAID 0 with less than four disks?
[1] R: https://github.com/xiaodaigh/disk.frame
awesome-R
- Good coding groups for black women?
- Where to learn R?
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Crantastic: What happened to it?
Won't cover newer ones, but Awesome R has a good list as does this site.
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Setup local development environment for R-yaml
First we looked for a project to play with. Checked the r projects, then looked at the awesome-R list and found r-yaml. We thought a library dealing with YAML files will be simple to install and test.
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WEBSITE WITH TEMPLATES
I can't really decipher what exactly do you want/mean but here you go: https://github.com/qinwf/awesome-R
- Python vs Matlab vs R
What are some alternatives?
db-benchmark - reproducible benchmark of database-like ops
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
easystats - :milky_way: The R easystats-project
police-settlements - A FiveThirtyEight/The Marshall Project effort to collect comprehensive data on police misconduct settlements from 2010-19.
sf - Simple Features for R
r4ds - R for data science: a book
lab02_R_intro - Vežbe 2: Uvod u R
opentripplanner - An R package to set up and use OpenTripPlanner (OTP) as a local or remote multimodal trip planner.
viridis - Colorblind-Friendly Color Maps for R
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
llr - Lisp-like-R: A clojure inspired lisp that compiles to R in R