#R Programming Language Features

My second most asked question is always how I learnt R     I taught myself mainly by just trial and error (I have to actually physically do something I can’t just watch videos as I don’t take it in) so I started with the very basics.   I think it’s so easy to overdo and feel like you need to know how to do everything or a lot of things at the start. Stick to simple things like understanding the R studio interface and loading packages and other basic commands     (after this most things I learnt were googling very specifically what I needed to do and adding the command to a ‘useful command’ list I have)    Next:  Following a vignette from start to finish (one that would be similar to what I would soon need) I then would go through and click on functions to look at the arguments (this tells you all the parameters for the function) and how I can change them if needed!    Finally try swirl it’s so easy to just load directly in the terminal and you learn as you go!        What’s your top tips?    I also have so many more so make sure you follow!      #phd #student #coding #rprogramming #university #tipsandtricks

A tip if you’re trying to learn R ⬇️ SWIRL is a package within R Studio that has tutorials so you can “learn R within R.” I did the R Programming course as an assignment a year or so ago and now use it to refresh my memory about basic terms and codes within R. It also looks like there are quite a few “courses” within SWIRL that are not just for beginners if you already know some R and want to advance - although I haven’t tried them yet 😄 Share this with your friends who might find this useful since R is surprisingly necessary for a lot of majors and academic fields 👩🏼‍💻 #rprogramming #collegetips #gradschool #womeninstem #r

💻R for Data Analysis R is an open-source language that provides a wide range of powerful tools and libraries for statistical analysis. Libraries like tidyverse and ggplot will help you to clean, preprocess, and visualize your data With libraries such as stats and lme4, you can perform a range of statistical analyses. R also has a community that actively contributes to the development of new tools and libraries. This has led to a rich ecosystem of packages and tools for various data analysis tasks. Follow @ai.marina.io if you want to know more insights for effective data analysis #datascientist #datascience #dataanalytics #womenwhocode #womenintech #code #datasciencejobs #datasciencejobs #datasciencecareers #programming #r #python #startcareer #careerdataanalyst

R y yo es una relación de amor / odio👩🏻‍💻 #rstudio #ranguage #rstats #bioinformatics #coding #biology #programation #humor #reels #mexico #programmer #fypシ #parati #biochemistry #scientist #womeninstem #womenwhocode #stem

Yes I am a programmer and that's how I am good at it. 🫣 #corporate #viral #trending #memes #explore

You should probably save this post ✌️ What's your best tip??? Decided to flex some of my favorite r tips on y'all today Gotta be real though, I JUST FOUND OUT ABOUT THE REFORMAT SHORTCUT This is a game changer for my Rstudio productivity 🥲 #scicomm #rstats #rstudio #codinglife #programminglife #codingtips

The BEST intro to a new programming language (interactive, in-IDE) #learnprogramming #rustlang #bashbunni

RStudio shortcuts in 60 seconds⏰ Save a bunch of time on both mac or windows by using this shortcut to run the same region of code over and over again to test changes and see how your visualizations will look. #rstudio

Programming Languages & Their Real-World Uses Choosing the right programming language can shape your tech journey. From AI and data science to mobile apps and game development — each language serves a powerful purpose. 🐍 Python — AI, machine learning, data science ☕ Java — enterprise & android apps ⚙️ C++ — games & system programming 🌐 JavaScript — web & server apps 🍎 Swift — ios & macos development 🟩 C# — games & backend services 💡 Learn smart, build real projects, and grow your developer skills step by step. 🎯 Pick one language. Master it. Then expand. Keywords: programming languages, coding, software development, python, java, c++, javascript, swift, csharp, machine learning, app development, web development, game development, tech skills java cpp javascript swift csharp learntocode developer techskills ai webdevelopment appdevelopment gamedevelopment codelife #programming #coding #softwaredevelopment #python

Here is a 2 Month Plan to Learn R programming Month 1 📌 Week 1: ➡️ Start with the basics of R programming language by studying its syntax and data types. ➡️ Learn how to install and set up RStudio, which is an Integrated Development Environment (IDE) for R. ➡️ Take online tutorials and practice exercises to get familiarise with R programming. 📌 Week 2: ➡️ Learn about data structures in R such as vectors, matrices, and data frames. ➡️ Practice data manipulation techniques such as subsetting, merging, and transforming data. 📌 Week 3: ➡️ Learn about functions and control structures in R. ➡️ Practice writing and executing functions to perform various tasks. 📌 Week 4: ➡️ Explore R packages and libraries to expand the functionality of R. ➡️ Learn how to install and use packages such as ggplot2, dplyr, and tidyr for data visualization and data analysis. Month 2 📌 Week 5: ➡️ Learn about statistical analysis and modeling techniques in R. ➡️ Practice performing descriptive statistics, hypothesis testing, and regression analysis. 📌 Week 6: ➡️ Explore machine learning algorithms in R. ➡️ Learn about supervised and unsupervised learning algorithms such as decision trees, k-means clustering, and linear regression. 📌 Week 7: ➡️ Learn about web scraping and text analysis in R. ➡️ Practice extracting data from websites and analyzing text data using R. 📌 Week 8: ➡️ Consolidate your learning by working on a project. ➡️ Choose a real-world problem and use R to analyze data and provide insights. 📌 Daily activities: ➡️ Practice coding every day for at least an hour. ➡️ Watch R programming tutorials on websites such as DataCamp and Udemy. ➡️ Participate in online forums and communities to ask questions and get help from other R programmers. ➡️ Read blogs and articles on R programming to keep up with the latest trends and best practices. Comment ' Yes ' If you want free learning Resources #Rprogramming #learntocode #datadriven #datascience #dataanalysis #datavisualization #statistics #machinelearning #web_scraping #textanalysis #coding #programming #onlinelearning #datamanipulation #datastructures #dataframes #vectors #matrices #ggplot2 #dplyr #tidyr #regressionanal

Now I am NOT 🙅🏼‍♀️ an expert by any means of imagination, but these are what I did to ease myself into the world of programming, languages, and coding! Intersect have these pre-recorded webinars that I watched before even opening up a program 🤯! One talked about which language to pick and why 🤷🏼‍♀️, the other had fundamentals of coding. Here I learnt what code is 🤔, how computers interpret what we ask them 💻, and the building blocks. This was so great to get basic information 🤩 Querying the programs❓🤨 themselves about what the capabilities are, how to use them, and demos are a great way to start. This shows you how code can translate to results (like graphs! 📊) and be applied to your work. Again, I am no expert but just in case anyone wanted to know how a total newbie starts out and their journey in coding follow along! Any tips/resources you can recommend? 😅 #coding #code #program #r #rstudio #girlswhocode #womeninstem #newbie #journey #beginner #tech #science #biology #phd #phdlearning #learn #learning #learningisfun #learntocode #computer #computertalk #advice #resources #resource #intersect

Relaxing Python & Pygame Creations #coding #programming