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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

It would be great to see all the frames. It’s big and unclear

Can’t see all in the console

Sir kindly do a tutorial on trend analysis like Mann-Kendal and WAVK Test

I loved the video but still need help with ggplot as my data seems not to be responding. I am leaving the command and the feedback here if someone can help me. > ggplot(data = modelling_data,x=Time_minutes,y=rLH)+geom_point()+geom_line() Error in `geom_point()`: ! Problem while setting up geom. ℹ Error occurred in the 1st layer. Caused by error in `compute_geom_1()`: ! `geom_point()` requires the following missing aesthetics: x and y. Run `rlang::last_trace()` to see where the error occurred.

Is there R for macs?

I have a conflict with %>%. How can I get rid of it?. Great video, perfect structure. Thanks a lot.

the explanation in regrads to the equal signs threw ,e a bit off, ususally "=" means youa ssing a value, since you want to filter an assignment would be pointless hence you want to access the assigned value of said variable which you do with "==" but the logic in regards the what to do comes from the filter function, so attributing the "if" to the "==" may be not 100% correct as the actualy filtering happens through said function, you simply check the value with the "==" and decide according to the defined logic.

Just started learning R, I love how you simplify things to make them make sense. Thank you

wow thanku man!

Hi, Dr Greg. So far, I've watched 5 videos about ggplot. I wanna confess that they are amazing and am sure that I'll watch all of the rest soon. Thanks for your nice explanation. Honestly, I lose track of time while watching your videos.

Awesome yet again 🎉 Greg , my R superhero 😎

Is it possible to add additional variables to the hover tooltip that are not part of the plot's aes()? For example, in the starwars plot, I would like to hover and see the name and species of the point of interest. Great video as always!

Thank you for this video! Can you please do one on how to make pie charts? I have been doing a lot of digging for good videos on them, but I haven't had any luck:(

Your video is very informative, but the sound effects are distracting and really creeping me out. I could not even finish the video and wanted to write this comment.

'Don't do drugs, Do your best, Boom shakalaka'-Greg Martin

Excellent content and very timely! I looked for something like this just yesterday! I’ll try it now🥰 We plot charts but the precise values are often found only in the text, which I found inconvenient as we need to either remember or add the values manually to a presentation slide. It is nice to have a summary with values visually 🎉

This is fucking awesome!😂

Excellent lesson. Is it possible to have a common x-axis? For instance, by centering?

😮--- literally me whilst watching this video. THANKS!!

Cool

👏👏

🎉😮😮

babynames & gapminder datasets missing in R

Great introduction to R Greg, thanks for that. Quick question though. After selecting the columns, so name and age in the video? How can I filter on an exact match that is text not numerical?

we would like to know more about these kinds of graphs and pattern for advanced analysis .i love it

Wow❤

Greg, It would be great if you could take a stab at echarts4r. It is an interactively package like plotly but as far as I can tell more powerful and somewhat easier to understand. Some of the plots I have seen made by it simply blow my mind. Just a thought.

Mahn u teach so fast I gotta slow it down

Nice presentation. Although I am not a big fan of plotly which I find cumbersome and convoluted compared to ggplot2. Neither am I a fan of 3D plots in general. I find them to be misleading and better to use 2D with other type of coding (color, size etc) or faceting for the 3rd dimension. Thanks.

nimic n am inteles sa mi bag pl

I used plotly to visualise results from a latent profile analysis on personality scales (similar to your interactive eye colour visual) - wondering now what else I could do with plotly on those results ... ? Thanks for this, love your tutorials!

Thanks a lot Greg. I love your videos and reels. Can you exlpain bit about Logistic regression?

Marvelous as usual 🎉. Awesome. Thank you

I have zero knowledge on programming, so it is not easy-pizzy for me. What to start with? I need only to create damp plots that is it

It's great 💯👍

I watched it first 🎉 awesome video thank you!

the "bumshakalaka" caught me off guard hahhahahhahahhahahhahahhah Great video

Introduction to Periodic chemistry

Thank you so much for these amazing tutorials!🙏I have recently found your channel and they are EXTREMELY helpful. They are helping me a lot in my data analysis in my PhD. If possible, could you kindly make a tutorial video on how to use RSA R package to do polynomial regression and response surface analysis to test congruence/incongruence (Edwards 2002). Thank you and please keep making these amazing tutorials!🙏🙂

Hi Greg, I am new to R and the whole world of programming. I found your first video very educative, but where do I go from here? I thought you had a numbered series of videos that would teach how me the complete language. I visited your page, and there are so many videos, I literally don't know which one to use. it is possible to do a series of videos from beginner to advanced use of R. thank you.

Very helpful! Thank you, sir!:D

Cool trucks. Explained in 5 mins! Great job, thanks.

Hello, could anyone help me? I've been trying this code, and instead of showing the animated plot in the Viewer pan, I get 100 png files saved in my working directory Would you know how to fix it?

I learned so much from your videos... Thank you for new lrearnings!...

Wow this is lovely. I will use this today. Thanks Greg!

Such a wonderful way to introduce new concept and making it super easy to understand! Thanks much, Greg!😎

I had to say I did fall in love with r as I am getting in data analysis and it made me feel at ease

Thank you so much, you have made R easy to understand

Cada tanto R programming nos recuerda el inmenso potencial y uso de R, Gracias.