Hello Brandon! Thank you for yet another amazing video. The experience of following along with your explanation is epiphany-like. Suddenly, pieces start to fall in place.
I agree. Several viewers[students] of the site (who typically had high, high remarks) came to me not only because they were disturbed by the abruptness of the aggressive shift, but also the turn into a R & 'car talk' infomercial. Brandon, your goal -- at which you were achieving remarkable success since your first ones in 2012-- throughout the course was to help those who needed a little bit more explanation. Your viewers understand and appreciate the dedication and effort that goes into each of your presentations. Please reconsider redoing this video -- with your 'universal' directed example(s).
@@chrispark5839 yes, and the new wiki style was much less visual and much harder to understand. Way too many words, too small, etc. I'd probably focus less on the code and more on the concepts. Break code items into a separate video (s). Both are useful, but combining them is overwhelming for your audience.
Everyone loves Brandon’s teaching style and video production myself included. Because of his vids (I still have to review often) I was able to become an asset in my workplace and apply the concepts in self learning R. I am so happy that he made this vid (where have I been!) Even for me, as an advanced beginner, I had to stop and think about data frames while watching - it would be hard to visualize for someone who never played with R before. Lay way for me to explain is that it’s like a spreadsheet - the variables are columns and rows observations. The beauty of R is the many ways to reference these values through various selections and filtering. And it’s relatively easy. I personally thought that this was very similar to his presentation style but that’s given my fiddling around with R. One of the big gaps in learning R was my lack of stats comprehension to mesh with the how to for coding. There are tons of outstanding Brandon-like resources to learn R. Good place to start is the R Studio youtube channel or a simple google search. Tons of resources. Please make more videos explaining concepts in R in addition to your patented style that’s NOT application dependent. Thank you Brandon.
Thank you Brandon - I have watched all the playlists in 101 statistics and I am confident that I have good statistical base now!
Hello Brandon! Thank you for yet another amazing video. The experience of following along with your explanation is epiphany-like. Suddenly, pieces start to fall in place.
Namaste
Is there a series for Random Parameter Logit model
This is so great, I just can't
Whoa, what happened to "slow and deliberate manner"?
I agree. Several viewers[students] of the site (who typically had high, high remarks) came to me not only because they were disturbed by the abruptness of the aggressive shift, but also the turn into a R & 'car talk' infomercial. Brandon, your goal -- at which you were achieving remarkable success since your first ones in 2012-- throughout the course was to help those who needed a little bit more explanation. Your viewers understand and appreciate the dedication and effort that goes into each of your presentations. Please reconsider redoing this video -- with your 'universal' directed example(s).
@@chrispark5839 yes, and the new wiki style was much less visual and much harder to understand. Way too many words, too small, etc. I'd probably focus less on the code and more on the concepts. Break code items into a separate video (s). Both are useful, but combining them is overwhelming for your audience.
Everyone loves Brandon’s teaching style and video production myself included. Because of his vids (I still have to review often) I was able to become an asset in my workplace and apply the concepts in self learning R. I am so happy that he made this vid (where have I been!) Even for me, as an advanced beginner, I had to stop and think about data frames while watching - it would be hard to visualize for someone who never played with R before. Lay way for me to explain is that it’s like a spreadsheet - the variables are columns and rows observations. The beauty of R is the many ways to reference these values through various selections and filtering. And it’s relatively easy. I personally thought that this was very similar to his presentation style but that’s given my fiddling around with R.
One of the big gaps in learning R was my lack of stats comprehension to mesh with the how to for coding. There are tons of outstanding Brandon-like resources to learn R. Good place to start is the R Studio youtube channel or a simple google search. Tons of resources.
Please make more videos explaining concepts in R in addition to your patented style that’s NOT application dependent. Thank you Brandon.
So what does it mean when partial correlation is smaller than the bivariate correlation? 😂
Alright, I went back to the video and found the answers