r-source | dplyr | |
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3 | 40 | |
366 | 4,658 | |
- | 0.5% | |
0.0 | 7.1 | |
over 3 years ago | 6 days ago | |
R | R | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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r-source
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How do I find R code for R functions?
Sure, will do my best! I'm not familiar with program verification / Isabelle, however if you take a look at the source code for the optim family of functions, you'll see that the last line of the function calls `.External2()`, which is similar to `.Call()|`. Both these functions allow R to call compiled C code, which means some of the work being done in these functions happens in this C code.
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Can somebody help please
Funny, when I look it up (which I did because I don't want to talk without info), I found this. https://github.com/SurajGupta/r-source/blob/master/src/library/base/R/sapply.R
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Differing results from Tukey tests
So you are testing for the same thing, but the TukeyHSD and HSD.test functions use different ways to compensate for unbalanced designs. TukeyHSD applies an adjustment for "mildly unbalanced designs" by effectively padding the sample sizes (at least that is my understanding of the source code at a quick glance) where:
dplyr
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Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
That's great feedback, thanks!
This tool definitely comes from a place of personal need - beyond just handling large files, I've also never really gelled well with the Excel/Google Sheet model of changing data in place as if you were editing text. I'm a Data Scientist and always preferred the chained data transforms you see in things like dplyr (https://dplyr.tidyverse.org/) or Polars (https://pola.rs/) and I feel this tool maps very closely to the chained model.
Also, thank you for the feature requests! Those would all be very useful - we'll put them on the roadmap.
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IS it possible for a R package to set an R option that only affects that package?
There's an example of how to use zzz.R with a .onload() function to set options in the dplyr code base: https://github.com/tidyverse/dplyr/blob/bbcfe99e29fe737d456b0d7adc33d3c445a32d9d/R/zzz.r
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Calculation within a data table by calling on specific values in two columns
Look at the tidyverse, especially the case_when or mutate functions.
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PSA: You don't need fancy stuff to do good work.
Before diving into advanced machine learning algorithms or statistical models, we need to start with the basics: collecting and organizing data. Fortunately, both Python and R offer a wealth of libraries that make it easy to collect data from a variety of sources, including web scraping, APIs, and reading from files. Key libraries in Python include requests, BeautifulSoup, and pandas, while R has httr, rvest, and dplyr.
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Creating data frame
It looks like your syntax is wrong. I think you’re trying to calculate a new variables in your data frame, or alter an existing column in a data frame. Have a look at the select() function in this reference for the proper syntax to use. https://dplyr.tidyverse.org/ Does that help?
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I'm designing a shirt for a friend, it has 4 embroidered images of things they like/do. One thing is coding, they use R... I'm wondering two things. 1) What's a good image or piece of code or something that I should use? and 2) should I even add it to the design the shirt?
A lot of populat libraries have their own logos. Maybe one of them would be good. Check out dplyr for example: https://dplyr.tidyverse.org/
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Anyone use Python for statistics, particularly DOE or QA/QC? What are your thoughts?
I hope you give it a try when you get a chance: https://dplyr.tidyverse.org/
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Rstudio tidyverse help!
You can read up on the dplyr-verbs here, which I strongly suggest for your exam! In the code examples, you can simply click on any function you don't understand and it will take you directly to the documentation. Good Luck!
- Beginner question
- osdc-2023-assignment1
What are some alternatives?
agricolae - Statistical Procedures for Agricultural Research
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
Rustler - Safe Rust bridge for creating Erlang NIF functions
ggplot2 - An implementation of the Grammar of Graphics in R
nx - Multi-dimensional arrays (tensors) and numerical definitions for Elixir
explorer - Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
rmarkdown - Dynamic Documents for R
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
regression-js - Curve Fitting in JavaScript.
axon - Nx-powered Neural Networks
magrittr - Improve the readability of R code with the pipe