R programming for beginners: using functions and objects in R

[@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

[@MikeRomankiewicz]

I clicked on the link but don't see any FREE cheat sheets 🤔 What am I missing?

[@jd5481]

I swear, this is the only guy on the entire web that explains R clearly and concisely. Some people are just born to teach and pass on their knowledge. Great work.

[@RProgramming101]

WOW - what a fantastic comment - much appreciated!

[@Shawn-gm4cf]

Totally agree. Probably the best resource I've found on learning the basics of R.

[@Durio_zibethinus]

You're back! We missed you so much. As always, thank you for your lesson, I really appreciate it.

[@RProgramming101]

You are most welcome. Thanks for the comment. More videos soon for sure.

[@markkennedy9767]

Bada bing bada boom, the best R tutorial i've found so far. Boomshakalaka

[@RProgramming101]

wow thanks for the comment

[@Ruostesieni]

Cheers! Absolutely love these videos; they make my life so easy. Decided to start using R out of the blue, since SPSS is kinda clunky when it comes to functions that aren't default and the SPSS' own syntax is just terrible. Your videos have made my doctoral thesis regarding lung cancer progress so much in an instant! Kinda fun that I managed to find your channels, which are statistics, R and medical research oriented!

[@RProgramming101]

Thank you for the lovely feedback, Ville! Glad you found them helpful! 🙂

[@edgarsmeets7519]

Thanks, Greg. This is a very nice introduction to me, using functions.

[@acada]

Your videos are quite explanatory. You're a great teacher, keep it up.

[@tchistermorrelebissa8628]

Sir, I'm more familiar with other software, but, as a learning of R, I found the video so clear. I followed and pratice every step and I also found what is shown in the screen. I didn't work with raw data from filter, but I found for example the value of 50, 36,...how magic is? Could you/we explain why those values appeared without using raw data? Could you next time show how to draw figures from fresh, dry weight of plants (just an example)? Stacked bar chart? Thank you for those demonstrations. Really appreciated Man.

[@easydatascience2508]

You can try mine too. The playlist for Python and R provide most of the fundamentals. Step by step arranged by sections. Source files downloadable.

[@thinlai417]

your explanation videos are the best that i have ever seen ❤

[@BilluAck]

Was waiting for your video from quite a long thank you Sir

[@RProgramming101]

Thanks for waiting. Good to be back Sunny

[@jeanhwang18]

Thanks so much for your R programming series for beginners! I've finished ten of them and feel much better with R, at least I am more clear and confident in dealing with R. If possible, looking forward to others series like how to use R in data mining, such as to plot and analyze a decision tree. Anyway, thank you again for your teaching and time!

[@RProgramming101]

Thanks for the suggestions, glad you enjoyed it!

[@ousmanelom6274]

Thank you are a best teacher i have have seen in R programming

[@RProgramming101]

WOW that is a nice comment (thanks !! )

[@lemonblossom5995]

I’m so happy you’re back!!! Please keep doing these great videos!!!

[@RProgramming101]

Thanks Lemon - will be creating more soon. Anything in particular that you'd like to see?

[@violab6970]

I see a favorite actor Jason Statham 😁teaching me R program. Thank you Prof Greg, you make R look easy. I'm hooked to your style of teaching. 👏👏👏👏

[@RProgramming101]

Awesome! Thank you! I really appreciate the feedback. Have a great day :)

[@hazimbajammal6112]

please keep making these great videos! i can tell this is the only tutorial video that i did not skip any second of it, because the way you explain are clear and straight forward! keep it up sir, we want more!

[@RProgramming101]

Thank you for the feedback. Much appreciated!

[@rachelkaze1347]

Welcome back, thank you!

[@RProgramming101]

Good to be back :)

[@veroniquemigue7985]

Thank you, very clear and helpful.

[@RProgramming101]

Thanks for the comment Veronique

[@G_B_R]

awesome video.. It was very easy to learn. Thanks..

[@RProgramming101]

Glad it helped!

[@benjaminbaah-konadu3886]

Great video, very helpful.

[@RProgramming101]

Glad you found it helpful Ben

[@MBG_Broker]

These videos are so great, it is a shame that they do not come out more often. :)

[@RProgramming101]

Hi Jesper. I'll definitely try to create more.

[@HardikPanc09]

You are just amazing Dr.

[@RProgramming101]

Thank you!

[@fikarief]

Was longing for so long. Thank you Sir, i'm looking forward to your next video

[@RProgramming101]

Thanks Muhammad - will create more videos soon. Hope you are well.

[@TIslam-ii9qe]

Awesome presentation, Boss of R" which software you use to edit your record please?

[@rowlinmoe]

He talks really fast and is still easy to listen to, that's very weird lol. Wonderful teacher, I only wish the videos were longer

[@RProgramming101]

thanks for the feedback - will try to make a few that are longer :)

[@gretek.1507]

Please come back, your explanations are heavenly

[@RProgramming101]

Thanks for the encouragement. I have a few videos in the pipeline. Once comming out this week for sure. : )

[@haraldurkarlsson1147]

Nice presentations. I have a simple question what theme are you using for your code? It is nice and sharp. Also, do you recommend using rainbow parens. I really like those for debugging.

[@tobias2081]

I believe he is using the editor theme called "Chaos".

[@mxaraujo]

Clearly explained

[@RProgramming101]

Thanks Eliezer

[@caduguimaraes]

So, pipe and attach has the same function?

[@alishertlessov]

Amazing

[@RProgramming101]

Thank you! Cheers!

[@tanyacoonan6011]

That was very helpful. Thank you. If I have a dataset inputted into R like yours, how do I encode the variables (such as speed and distance) as factors? What does this mean?

[@RProgramming101]

Thanks for the question Tanya. Speed and distance are numeric variables. You can create "buckets" or categories for the data to sit in. For examples 0-4; 5-9; 10-14 etc. (does that make sense?). I'll create a video and show you how to do it.

[@space5more]

Thanks - 🙂

[@myworldAI]

Thank you very much

[@RProgramming101]

You are welcome

[@bingliang6444]

Thank you ! sir.

[@RProgramming101]

You are most welcome!

[@joelego5767]

a fellow south african!

[@enocharthur1955]

When are you gonna work on the volume of your videos? They are too low!!!!. I'm surprised no one has raised this. Please work on it. Great tutorials though!!!