R programming in one hour - a crash course for beginners

R programming is easy. In this video, I'll walk you though how to clean your data; how to manipulate (or wrangle) your data; how to summarize your data; how to create tables and describe your data; how to visualize your data using ggplot (a powerful data visualization package that I use to create bar charts, boxplots, scatterplots, histograms, line graphs and more) . And of course how to analyze your data. The data analysis includes using hypothesis testing and p-values to make inference about a population using sample data. To do this, I'll teach you how to do a t-test, ANOVA, chi-squared test and linear regression models. So if you're a data scientists or researcher doing statistical analysis or some kind of quantitative analysis of data, this video is for you. I cover all of this in one hour.

[@RProgramming101]

Get my FREE cheat sheets for R programming and statistics (including transcripts of these lessons) here: www.learnmore365.com/pages/membership-r-programming-data-visualization-and-research-methods

[@emmanuelhoustonkwashie9222]

This is a complete semester course described in detail in an hour. My Professor, who is paid to teach this course, will be unable to cover even half of what is shown in this video until the semester is through. When I raise inquiries about specific codes in class, the Professor becomes enraged. Greg, I can't thank you enough for this video and so many others. R programming is quickly becoming second nature to me. How can I get access to the linear model and other graphs you used to demonstrate some aspects of the programming? Thank you very much. You are simply the best!

[@RProgramming101]

So nice of you - thanks for the great feedback, Emmanuel. Much appreciated!! I'm glad that you found it helpful! 😊🙌👍

[@pratiushkumar3306]

Lol this is so true

[@hönz270]

This is too familiar! Thank you for this channel it's a lifesaver

[@sullivanfam01]

I cannot tell you how excited I am that I finally understand what I am doing in R! Granted, I've spent about 8 hours working through this 1 hour video, but it has finally "clicked." Thank you!

[@RProgramming101]

Great job!

[@vikramamin2853]

I was searching for videos on R programming and stumbled upon your channel. The way you explain the concepts is so wonderful. Simple and precise. I like the fact that in many of your videos, you do touch upon topics that were taught in a previous video. This video is like a refresher just before one is about to give his / her exam. Thank u so much for putting in the hard yards and making life for us wannabe data analysts slightly better. Wish u the best in life!!!

[@nl6067]

I've watched four tutorials on R programming and yours is the best one! Not only concise, quick and relevant, but the way you talk about these topics is truly entertaining and captivating :) Thank you

[@RProgramming101]

Wow - what a nice thing to say (thanks!!)

[@banyalaaabdulganiu1683]

as albert Einstein once said “If you can't explain it to a six-year-old, then you don't understand it yourself” . you are the best.

[@RProgramming101]

Thanks for the feedback. Much appreciated.

[@fisfia]

Thanks a mill for this, Greg! I've watched the video 4 times and worked through all of it in RStudio. Not only did I learn a lot of R, I also did grasp some concepts in statistics that I've struggled with before. There's a big difference in the level of understanding when trying it out on your own. Awesome! I highly recommend putting in the time, it was so worth it. I've now downloaded the visualization cheat sheet as well, but that I think I'll have to save until the next weekend ;) Hope your weekend was just as great.

[@RProgramming101]

So nice of you - thanks for the great feedback Sofia!

[@user-vm5zd5zq2e]

I really appreciate the animation. Kept the lecture a lot more engaging and clear when you were reviewing the code

[@RProgramming101]

Glad you like it.

[@haraldurkarlsson1147]

I agree with your approach of using in-house data for these demonstrations 100%. I can't count the number times I have started a lesson (and even paid for it) and quit in frustration because I could not access or find the data they used. Some instructors use some "obscure" data from a R package but don't bother telling you it came from. Others use "external" data that is either no longer accessible (or needs a signup or API) or in has been "wrangled" from the original form into some other shape. Many times I have had to reverse engineer or simulate the data on my own. If you are trying to teach some specific task or topic then this misses the point of the lesson (reminds of my high school when our math books were in Swedish - not my native language - I and I was busy trying to figure out what the words meant rather than doing the math) . So thanks for be so good about using built-in data rather than some obscure data!

[@RProgramming101]

Thanks for the great feedback Haraldur!

[@layaneduarte1097]

I've watched all 16 videos. Thank you very much for so much time to explain it all, Greg! Lots of thanks from Brazil! Dabadum!

[@RProgramming101]

Glad you like them! Thank you :)

[@linafakih1661]

the word I love you doesn't currently express how grateful I am. This is super helpful!!! Thank youuu!!

[@RProgramming101]

You are most welcome. Thanks for the lovely feedback.

[@dr.ranaismail9244]

Wonderful video!!! I can't recommend it enough! I'm an SPSS user, but I'm learning R programming to be able to run analysis anywhere I go for free (and on the run lol), and then to be able to help others with their own data analysis when they don't have SPSS. R is becoming a more universal package in my opinion. Thank you so much Greg Martin for all your efforts and dedication to teaching global minds :) keep it up!

[@RProgramming101]

Glad to hear that you enjoyed the video and that you're so enthusiastic about R (i really like it too).

[@RProgramming101]

Wow Rana - what a nice thing to say! Thanks!!

[@kumaryashneel1910]

Thank you Greg. This video is a life saver. My last masters unit (From Fiji) required to use R Programming Language for the major assessment. I had never used R and coming from a non programming background i struggled in keeping up labs, this crash course truly helped. So many vital topics put in so amazingly, well knitted. I learnt more in this video then i had in my whole semester. Thank you and best wishes

[@redheadredemption3]

It was the "boom shakalaka" and "easy peasy lemon squeezy" that let me know I was in the right place. So much better than any boring University course teaching less and not as well. Thank you!

[@revathivamshi7621]

This category of videos boost up our interest on learning the programming languages .

[@philippeberube2303]

Merci beaucoup pour la vidéo. I'm experienced in SAS and Power BI, but did not know where to start on how to program in R. Your video touched upon all the important themes we need to know to get started.

[@user-nm5hn8tf1d]

I cannot thank you enough. This has been such a huge help. I will be sharing this with the rest of the students in my Data Science unit and in the university Discord for future students. Absolutely brilliant teacher.

[@RProgramming101]

Glad it was helpful! Thank you!

[@abdullahalghamdi6402]

You are Amazing! Thank you. It took me 6 hours because I stop the video and practice.. But, I learned the basics of R in even 58 minutes. Keep it up

[@RProgramming101]

I'm thrilled that my video helped you or provided you with useful information. Thanks for letting me know!

[@estheradeniji2746]

Thank you so much for this rich yet concise introduction of R for data analysis. I found it so informative and beginner-friendly.

[@RProgramming101]

Glad it was helpful! Thank you very much!

[@luataina5253]

I have learned so much, so much here! Concise, clean, and amazing tutorial. Thank you so much!

[@RProgramming101]

Thanks for the great feedback :)

[@ruhafza4719]

Hi Greg, thank you so much for creating this channel on R programming. Just subscribed. I am amazed to find you have already created so many videos already. You ROCK!!

[@RProgramming101]

Welcome aboard! Thank you for subscribing!

[@brookemcbride6405]

omg I have been watching TONS of tutorials to no avail. I wish I'd found you weeks ago!

[@sugarcubegaming1643]

I was just getting started to jump into my Statistical Programming Course but I hate going into things blind. This was an EXCELLENT resource i was intimidated by R programming. This video honestly gave me a huge boost in confidence. Thank you.

[@RProgramming101]

Glad you’ve found it helpful.

[@KimJaeYoung]

Wow, very quick and efficient way of learning how this program works! Learned so much while following this course, have subscribed and looking forward to more videos created by you. Thank you!

[@RProgramming101]

I appreciate the kind words. Your support encourages me to create more content that you'll enjoy!

[@QuickDeutsch]

The content is just wonderful. Much appreciated. I am studying environmental management and have no bg in programming. However, I always heard of R. With the help of your video, I learnt a lot of things. Cheers

[@shawnabee7248]

Thank you! I'm self-taught in R a number of years ago. Getting back into it now, and your videos are excellent. I LOVE tidyverse! And your approach is really helping me re-learn and improve. Thanks

[@RProgramming101]

Awesome! Thank you for your great feedback! 🙌

[@neilspink4241]

Just what I needed. What a brilliant video! Can only agree with the top comments. I have programmed many languages, and found you made it both entertaining and I think you covered everything I wanted to know to get an introduction - you make it look easy peasy lemon squeezy - By the way, you didn't mention your name ;D just thinking that would be helpful, as maybe you are doing a conference sometime, then I would definetly want to see you present.

[@khawlabintal-azwar2]

For those who cannot see the starwars data set: if (!require(dplyr)) install.packages("dplyr") library(dplyr) starwarsDF

[@thisisnotmyrealname6046]

Thank you

[@tsheringlhamo8807]

Thank you

[@Tswaraj]

Thank you sir!

[@daelightmoon]

still works - thank you!

[@petereadman6094]

Thank you!

[@pancakez2181]

This channel has been so helpful to learn and continually reference. Thank you!!

[@RProgramming101]

You are most welcome.

[@peterqiaodongwei]

Great video. Thank you so much for your quick and accessible introduction to programming in R. 10/10

[@RProgramming101]

Thank you for watching and for your kind words! I'm glad you enjoyed the video.

[@renzo.ruesta]

you made my life easy with Shift+Ctrl+M, thank you very much!!!!

[@RProgramming101]

Glad I could help! Thank you for the feedback.

[@sebasemd]

Total gratitude!, even some statistics theoretical aspects are much more clear for me now.

[@RProgramming101]

Glad it was helpful! Thank you for the feedback!

[@UCanCMee]

Dr. Greg Martin, you close R programming in a bottle. Very good and Thanks

[@AndreaMaríaAlcerroEguigure]

Thank you so much for this course, very efficient and easy to understand!

[@danielhalfon3955]

Proper legend to have such amazing videos on R. Bonus that we both from SA. If you had a udemy course in R I would purchase it in a heartbeat

[@RProgramming101]

hi there - I think that I do have some on Udemy and also at www.learnmore365.com (thanks for the feedback)

[@PyGorka]

Thanks for the video. I got what I needed for work. I have to translate some R code into Python to run in Airflow for work. 😁 I think I understand the basics. I need to learn more about character stripping, substrings, and character replacing in R now. I have a script that replaces a certain number of spaces with one comma. Pretty simple.

[@IOSALive]

R Programming 101, amazing content I really liked it

[@RProgramming101]

Glad to hear it :)

[@chrisl6668]

This is amazing and very helpful for really getting started in R. Thank you so much!

[@fladeann9348]

I love the speed of your speech. Definitely, the content is more than 3 hours LOL. Very useful!

[@RProgramming101]

Glad you enjoy it! Thanks for watching!

[@oluwatobifaniyi]

This was extremely helpful I'm understanding R statistics and building up my confidence in my data analysis skills

[@RProgramming101]

thanks for the feedback

[@johnyrusoc]

Super helpful and so easy to follow! Respect for the professor Greg!

[@AYOUBOUNTKATTOU]

bro your a herooooo you saved meeeee, and grant your self a long term subscriber and long life student, keep up mann

[@ZineEddineFiad]

Thank you so much for all this détails

[@RProgramming101]

You are so welcome!

[@altareq24953]

it was worth it watching and practicing the whole long hour

[@jhaand]

This video works great. I only learn R as a side interest and part of the Exercism #12in23 challenge. But this showed me very well on what R can do and how to use. it.

[@explore5709]

Great content Thank you. Visualization at 30 min and Ending at app 40min.

[@RProgramming101]

Thank you for the feedback. Much appreciated !!

[@koberowland9798]

Thank u for this video I have a big technical interview coming up and this gave me so much confidence

[@RProgramming101]

Glad it was helpful! Thank you :) all the best on your big technical interview coming up!

[@S24W2]

Thank you Dr. Greg, very much appreciated - fantastic videos

[@madhuyadav8471]

Thank you so much for this. It was REALLY helpful!

[@JustFluffyQuiltingYarnCrafts]

Very nice! My head is spinning, but the material presentation was excellent. Thank you.

[@RProgramming101]

Glad you enjoyed it! Thanks

[@tarkanh2519]

Another excellent tutorial from Greg. We expect another 1-hour R video soon , may be a series rather than short videos why not?....Thanks again

[@RProgramming101]

Good idea! Thank you for the feedback. Glad you enjoyed it!

[@nonochoco9750]

loving the occasional 'boom shaka laka' hahaha, very entertaining and informative. thank you

[@BridgeTROLL777]

Dude you are a godsend! This tutorial is 10/10 for a person wanting to learn R with absolutely no programming experience! I hope your channel grows and you produce more R content!

[@LamNguyen-qp1it]

eventhought a lot of stuff don't make sense to me, this is still a great video and serve as my foundation to go forward. Thank you so much sir

[@luketsekouras8180]

you talk fast but very knowledgeable, better than my lecturer... i had issues with the cheat sheet did not get an email..

[@RProgramming101]

Hi Luke, apologies about that, and thanks for your feedback. Have you checked your spam folder by any chance? Thanks!

[@arp_on]

Absolutely fantastic! Hugely helpful, thank you!!

[@Giorgos19-e6f]

really good rhythm ...Definetely will share with my fellow dum colleagues!! Really usefull

[@chip308]

This has been really helpful for me in my current job. Thanks you 👍 ... Any chance you could do Plotly and Markdown HTMLs in an hour long episode? ❤😅

[@jeremiahmuuo6407]

Absolutely amazing. I have to share this 🙏

[@ici6308]

Great job! Very informative and helpful. Thanks a lot.

[@Gentelmenghost]

@ 17:00 When explaining Re-Factoring you should explicitly clarify Factoring and distinguish between "Re-Classing, Re-assigning, Re-Typing, Re-Categorizing because you used the words pretty loosely and it was just an overall confusing section. I had to watch another video to explain what it was you were even talking about . Im a beginner but i was able to keep up perfectly up until that point. Edit* Yo This section is a nightmare to understand if youre not actively googling what the words that are coming out of your mouth mean. For example "...R hasn't identified it as a factor or categorical variable." Whats a Factor? Whats a Categorical Variable as opposed to a regular one? What are the common types of Factors and variables? Its a crash course but there are things that are contextual pieces being glossed over. As a refresher course this is probably an awesome video, for someone with 0 experience then you might need a tutorial along side this tutorial.

[@samirhajiyev6905]

Great explanation. Thanks Greg

[@RProgramming101]

Thanks for watching!

[@danielveneracion4078]

Hey Greg I do not have the starwars dataset for some reason. Do you know why or how or where I could get the dataset?

[@wassup406]

Thank you so much for making these videos and making our lives easier May ALLAH giv eyou reward fro this amen

[@Sridhar-wg7nh]

Excellent Explanations overall..my deepest thanks to you

[@RProgramming101]

You are most welcome! Thank you for the feedback.

[@ramielshazli7329]

You are very impressive and genius thank you

[@RProgramming101]

Thanks for the feedback. Glad you liked the video

[@sachinkapase9218]

Hello Sir, I'm new to R and I learnt a lot from this video. Thank you for the video, Could you please make a video for the Genetic algorithm in R. Thank you

[@RProgramming101]

Thank you for the suggestion and your feedback - much appreciated!

[@math4u769]

Very good instruction. Well understood. Thanks a lot.

[@RProgramming101]

What a nice thing to say - thanks!!

[@stephenmackenzie9016]

I discovered R from Shiny. Now my users can do approximate searches across 2 million records, all wrapped in a lovely web UI

[@elteteliterariodemartin213]

Wonderful job explaining this, I thank you so much for putting this video out here for free! I learned and re-learned so much of these that I previously were not able to understand in class!

[@easydatascience2508]

Thank you for helpful videos !

[@RProgramming101]

I'm glad that you found it helpful. Thanks!

[@data_kom]

Awesome. Thanks for putting this out here.

[@RProgramming101]

My pleasure!

[@vajihesalehi]

Thanks a lot. I had a great time going through this video wtih you. I appreciate it a lot.

[@RProgramming101]

Glad you enjoyed it! Thank you for the feedback.

[@harindermahajan5831]

An excellent summary

[@RProgramming101]

Thank you kindly! Glad you liked it :)

[@romanvasiura6705]

Greg, thank you for this amazing channel. Each lesson is very valuable for me. This video has a lot of stuff which I would like to discover more deeply. Definitely I need to study more about different kind of testing (such as t-test, anova etc...). From your video I heard about it at fist time, but nevertheless it will be very interesting to explore it. I've finished to watch fist playlist for begginers and will start to watch next one (data manipulation). Wish you all the best 😀"boomshakalaka" 😄

[@RProgramming101]

So nice of you - thanks for the great feedback Roman. Much appreciated!!

[@lanalysteb12]

Thank you for this chef-d’œuvre

[@RProgramming101]

My pleasure 😊 thanks for watching!

[@ashtincrawford1020]

I’ve followed all the steps but can’t view filtered starwars plot.. getting all kinds of errors about not finding %>% function

[@ashtincrawford1020]

Update: had to download two other packages: dplyr and magrittr

[@banamailat_BM]

I felt like I had eaten 3 plates 5 minutes before I started work. That's why I watched it at 0.5 speed for the 2nd time. Sorry for this. I wish it had been 3 hours and it was explained slowly. But thank you for your work. I will close this gap with your other videos..

[@pamelamontero4330]

this. saved.my.bRain. thank you!!!!!!!!!!!!!!!!!!!!!

[@RProgramming101]

Glad you liked it @Pamela

[@FantasticBiology]

Thank you. You are the best

[@GregMartin123]

thanks :)

[@monishankarsarkar8610]

Excellent video! Have been trying to practice with this video, getting the 'starwars' data is not in the r sample data. Can anyone tell me how to get that 'starwars' data so that I can practice symultaneously?

[@abderrahmaneboumedienederk5293]

Really impressive ...

[@busrakorkmaz8315]

This was very helpful, thanks!!!!

[@abhisheknar3812]

Truly Great content!

[@RProgramming101]

Thanks very much

[@johnbainbridge1931]

For the boxplot I made the slight modification as it is a little confusing to allow ggplot to measure some fictive second variable which is in fact not being used. Casual viewer will ask themselves what is special about +0.35 and -0.35. That is solved easily like this: starwars|> drop_na(height)|> ggplot(aes(x = '', y = height))+ geom_boxplot(fill = 'steelblue') + theme_bw() + labs(title = 'boxplot of Starwars character heights', x = 'Height')

[@FantasticBiology]

What is better for bioinformatics and system biology? Python or R?

[@GregMartin123]

In my view, R is better.

[@MCshaneization]

Your teaching style is superb! Any plans for an R 201 series?

[@RProgramming101]

Thanks for the compliment. Will think about the 201 suggestion.

[@MCshaneization]

@@RProgramming101 Thanks! Your 101 series already gave us a strong foundation to work from, which I'm very grateful for. A 201 series would just be icing on the cake :)

[@nao_chan_]

okay I was following along, mucking around at the starwars bit. I did a height/mass variable, arranged by new density/fatness variable. and apparently lukes Uncle Owen Lars is the densest or fattest human being in star wars. in fact, at only 5'10 (178cm) he apparently weighs 120kg (260lbs). Look up his actor, there's absolutely no way that dude weighs 260lbs at that height. so I did ?starwars and the data comes from starwarsapi, who absolutely refuse to list on their website or anywhere else where they pulled this data (their arse I believe.) googling around, joel edgertons weight is around 180lbs. Just about 70% of the character owen lars weight. so I think owen lars may in fact not be a carbon based lifeform. he's denser than darth vader!!!! he's only slightly less dense than General Grievous and some other robot guy.

[@europediary9757]

Could you share the script for practice

[@ismaelslaoui5100]

You are my guru...Boom chaka laka!!

[@RProgramming101]

Happy to hear that! Thanks, cheers!

[@ashaoluayanfe7474]

Thank you, thank you and thank you once again.

[@RProgramming101]

You are so welcome. Thanks for your feedback!

[@andresrengifo7801]

Coming soon... a video from 2 hours boom chacalaka ;)

[@RProgramming101]

haha.. this comment actually made me laugh out loud.

[@dr.ranaismail9244]

You made me chuckle....lol ! Boom Chacalaka! So cute! Greg’s favorite phrase Lol

[@gianluca.pastorelli]

@@dr.ranaismail9244 Don't forget "easy peasy lemon squeezy" (somehow it really makes anything look easy :))

[@dr.ranaismail9244]

@@gianluca.pastorelli LoL that one too!!! It's so much fun listening to Greg :)

[@juliablazy4011]

Thank you for this tutorial

[@martinkithinji2686]

Good recap

[@RProgramming101]

Thanks.

[@busrakorkmaz8315]

The next time, I would like to access the starwars file for example and doing the tasks at the same time

[@aarons5205]

Do you feel this is the programming language to learn as an aspiring Epidemiologist completing their MPH Epidemiology degree program? Thanks Greg!

[@RProgramming101]

hi Aaron - yes indeed. If you're going to be an epidemiologist then then will be a valuable tool. I work in Public Health and use R all of the time. You might like my global health with greg martin KZbin channel that has quite a lot of epidemiology teaching.

[@MKaramchandanii]

Hey i loved this video and because of this amazing video i might learn something new. So i wanted to how to do the setup for rstudio? Meaning is it free and if so do i need to put some setting or click some options while downloading or just default. I wanna get started on r and practice so i need to know

[@vikrmjitsinghsidhu9153]

The real top G

[@tonyfkingdom]

Sorry might be a silly starter question, why my r doesn't run like your click. I can only highlighted it to running.

[@ishworpoudel2399]

please provide time line in your vedio so that we can find easily what we want to work with in r programming . thank you