I HAVE AN URGENT HELP NEEDED WITH THE R SOFTWARE. ANYONE WHO IS A PRO AT IT PLS CONTACT ITS A CODE RED SITUATION!!

thx <3

Hi im fairly new to r and trying to import excel files I have all the steps down with working directory but it says the file doesn't exist yet list.files() tells me its in the working directory and that the working directory I used was put in idk whats wrong with it can anyone help

J'ai sorti un jeu d'aventure point-and-click satirique sur la présidentielle 2027. Le truc pratique, c'est que ça tient dans un seul fichier HTML/JS : zéro installation, ça tourne direct dans le navigateur et l'interface est super bien adaptée/responsive sur mobile.

C'est dans l'esprit des vieux jeux LucasArts (interface à verbes, inventaire, dialogues à choix). En gros : tu gères ta campagne, tes électeurs et les galères médiatiques.

C'est totalement gratuit : https://vigone.github.io/destinationelysee2027/

Curieux d'avoir vos retours si vous testez !

Hello,

I have tried to learn R inside Rstudio and even did a course on the basics. I'm now in a role where they are encouraging me to learn R while doing it, but I am unable to do it all because I am unable to understand the sequence of steps and feel AI vibe coding is better option since I don't know if I'm doing things the right way and prompting AI for each step is confusing because I miss out steps which I should have added. Coding with AI is also better since I have deadlines at work. I know this is not the best thing for my own sake, and wish to learn R badly, but nothing seems to be working.

I have struggled with math in a similar way as a kid until I was able to understand the way it works, and now I love math. Sadly I don't have a teacher to teach me r now, but I really and desperately want to learn to code in R, especially in the next couple of days. I'm willing to put in the time to learn, but I need something which helps me make better sense of the language, in a way which is easier to understand and quick too. All suggestions and advice are welcome.

Hi everybody,

I am an R enthusiast and a coding professor in my school.

Through the years I have been building a mental model of the structure of a program and how the different components interacts with each other and I wanted to build a tool for that.

The concept is simple: each code entities will be a node in the graph, and will have different kinds of edges that connect them. One can explore the graph by expanding a node through it's potential connections (which other bloc of code it calls, wich part is coupled, the potential types, etc.). One could even enter the block by double-clicking and see it's internal as another graph of private nodes.

This project could help my students understand better some programming principle and could even help programmers for code review.

What do you think?

Hi...I am new to R programming....I want to learn about R programming....where to start and how....

A colleague of mine recently made an R package called MutGlyph, and I thought it might be worth sharing here.

It’s mainly aimed at bioinformaticians, but given how heavily R is used in genomics, I figured there’s probably a decent overlap with this sub.

The basic idea is to take familiar cancer-genomics plots and make them interactive. You can build things like oncoplots, lollipop plots, rainfall plots, and GISTIC copy-number landscapes, then zoom, pan, hover, and inspect dense regions instead of being stuck with a static figure.

It uses GenomeSpy underneath, but from the R side it behaves like a normal package and works with familiar maftools objects and workflows.

The API is intentionally very close to maftools, so you can swap a static plot for an interactive one with miniscule code change :)

GitHub: https://github.com/genome-spy/MutGlyph/
Docs: https://genomespy.app/MutGlyph/

Hello,

Next month I will be start working as a part-time student at a big insurance company in market analysis/research. One of the requirements in the job posting was "basic knowledge in R or a willingness to learn it".

When asked in the interview, I said I am familiar with the interface, used it in a few classes at uni (regression analyses, creating plots). I have never used it for projects or anything and I mostly just followed what was taught.

I am now doing a few beginner courses on DataCamp. What sort of things should I know and does anyone have an idea on how R could be used in this sector?

Thank you :)

Hi everyone!

I’m an early-career marine biologist currently completing my BSc in Marine Biology, and I’m looking to connect with researchers, students, conservationists, and others working with biological or environmental data.

I’ve been developing my skills in R, particularly for data cleaning, statistical analysis, ecological modelling, and data visualization. I genuinely really enjoy working in R, and at this stage I want to get involved with as many different projects and datasets as I reasonably can.

If anyone has a marine science, ecology, conservation, fisheries, wildlife, or other biological dataset that could use some additional help with analysis in R, I’d be happy to contribute. I’m also open to projects outside of marine science if there is an opportunity to work with interesting data and learn something new.

I’m not looking to charge anyone. My main goal is to gain experience working with different types of real-world data, improve my R skills, contribute where I can, and hopefully meet and build connections with people working in science and research.

I also recently created a GitHub where I’ll be archiving my projects as I continue learning. I uploaded a project I finished about a week ago involving the analysis of BRUV data and whitetip reef shark habitat associations.

GitHub: https://github.com/kylealibz

If you have a project where another person helping with the R or data side would be useful, feel free to message me. I’d also be happy just to connect with other early-career researchers and R users.

Thanks!

I've had more than one programming book that's hopelessly obsolete due to how fast everything moves. Is Mastering Shiny, published by O'Reilly and written by Hadley Wickham, still a useful resource for learning Shiny five years later?

I'm releasing sciREPL v1.0.1, which brings major improvements to TypeR integration. sciREPL is a Jupyter-style notebook app that lets you mix multiple languages in a single worksheet.

**Why we forked TypeR**

The standard TypeR type system couldn't express variable-argument (variadic) inputs in its standard-library declarations. We extended it to properly type variadic R functions like `cat`, `paste`, `sprintf`, and `c`.

**What's new in v1.0.1**

* **Direct TypeR notebook cells** — no longer need to wrap most code in R blocks * **Named and heterogeneous variadic arguments**, including forwarding collected args into another variadic call * **Named** `#!source` **cells** for storing reusable TypeR source without executing it or producing output * **Prolog → TypeR compilation**, with generated code placed in a named cell ready for execution * **Two included typR workbooks**: "TypeR Introduction" and "Prolog Generates TypeR" — both accessible via *Browse Packages, Bundles & Workbooks* in the sciREPL menu, along with workbooks for other supported languages

**Other supported languages**

TypeR is one of several kernels sciREPL ships with. The full list:

* **R** (webR / WASM) — full R with `install.packages()`, plotting, and SharedVFS * **Python** (Pyodide) — NumPy and SymPy preloaded, `%pip install` for pure-Python packages * **Prolog** (swipl-wasm) — full SWI-Prolog * **ClojureScript** (Scittle v0.6.22) — SCI-based, no build step; also a Prolog code generation target via UnifyWeaver *(experimental)* * **Bash** (brush-wasm) — Unix shell with coreutils, findutils, and grep * **JavaScript** — native browser execution, zero download * **Lua** (Fengari) — lightweight, with notebook cell access via `nb.read()` / `nb.write()`

All kernels share a **SharedVFS** in-memory filesystem, so data flows freely between languages in the same notebook.

**Free & open-source version**

Available as a PWA and an Android app:

* PWA: [https://s243a.github.io/SciREPL/](https://s243a.github.io/SciREPL/) * Source: [https://github.com/s243a/SciREPL](https://github.com/s243a/SciREPL)

**Android Pro version**

An Android-only Pro version adds AI-assisted building and bundles more packages locally (with CDN fallback for the rest). AI is integrated via direct API key connections to models, as well as remote connections to coding agents (e.g. Claude Code and Codex).

**Data privacy**

We store no data on an external server. All data is stored locally on your device; packages not bundled with the app are fetched from the CDN when needed. The app is Capacitor-based, so it runs with web browser-level sandboxing. JavaScript, Bash, and TypeR are always offline. Prolog, Python, and ClojureScript are bundled in both free and Pro versions. Lua fetches from CDN on first use. The Pro version also bundles R locally; the free version fetches the R runtime from the CDN (\~50 MB, cached after first use). Note that additional R packages (e.g. tidyverse, ggplot2) are not pre-installed in either version — they can be installed at runtime via `install.packages()`, fetching from the CDN as needed.

**Become a tester**

I need testers before submitting either version to the Play Store. Testers get early access to both the free and Pro versions at no cost. Reply here or DM me if you're interested. In the meantime, you can try the free version in your browser or sideload it via adb.

Hey everyone

I'm taking a class on social network analysis, and I was wondering if there were any resources online that I can use because the content in the class is not great at all and I don't want to blindly rely on chatgpt to pass. do you guys recommend any online or youtube courses that I can follow?

Does anybody have experience running R on one of the new Neo's, and how did it perform? They seem like good budget laptops but I need something capable of running R without crashing out..