Wow! Thanks Pat. This was the most advanced episode in the series and it requires one to be well versed in the intricacies of base R. Thoroughly enjoyed it!
Hi, thanks a lot for the great content. I don't seem to be able to explain why they included [,1] in the code below. I was checking a solved exercise and found this code, so I thought I could maybe ask here about the theoretical explanation behind that specific part. I would have thought that Data[,i] was enough to make it work. Thanks in advance. for(i in c(2,6:11)){ a=(abs(scale(Data[,i])[,1])
Thanks for the question. Unfortunately, I am unable to answer questions like this in comments. I'd encourage you to ask on StackOverflow or on the RStudio forum
Wow! Thanks Pat. This was the most advanced episode in the series and it requires one to be well versed in the intricacies of base R. Thoroughly enjoyed it!
wonderful! sometimes it's fun to go into the weeds a bit :)
Your explanation that dataframes are actually lists of vectors blew my mind. None of my instructors have ever made that explicit!
Wonderful! Thanks for watching 😊
Learning a lot from your videos. Happy holidays!
Hi Victor - wonderful! Thanks for watching
very interesting lessons .. congrats from Argentina
Hi Marcos - Thanks for watching!
Merry xmas. Thx for the videos of this year
Thanks Luis! Have a great Christmas 😊
great exapmles and smart explanation
Thank you so much for your videos!
My pleasure! Thanks for tuning in 🤓
Nice tutorial!!!
Thanks- glad it was useful!
Hi, thanks a lot for the great content.
I don't seem to be able to explain why they included [,1] in the code below. I was checking a solved exercise and found this code, so I thought I could maybe ask here about the theoretical explanation behind that specific part. I would have thought that Data[,i] was enough to make it work. Thanks in advance.
for(i in c(2,6:11)){
a=(abs(scale(Data[,i])[,1])
Thanks for the question. Unfortunately, I am unable to answer questions like this in comments. I'd encourage you to ask on StackOverflow or on the RStudio forum
cool thx
Thanks for watching!