By the way, this video is freaking awesome! I'm in a bit of an accelerated econometrics class, and this video has been absolute gold with respect to deriving clearer insights and comparing models!
Hey, thanks for sharing these videos! It has been pretty useful 😊 How did you run the Gamma model without having problems with the negative values of the variables?
I don't understand, why we plot the outcome variable at the beginning. Because glm does only make assumption about the distribution of the residuals...
A great video as always but there is a reason people use the cars dataset. How do you think a person who has been raped is going to feel as they try to watch this video. Are they going to find it easy to focus on general linear models or are they maybe going to be thinking about something else. Just some food for thought.
It's still on github at github.com/dustinfife/fifer I can't guarantee fifer will work, but it has been superseded by flexplot (github.com/dustinfife/flexplot). I'm guessing the functions mentioned here will work with flexplot. See my flexplot manual at psyarxiv.com/kh9c3/download I am in the process of remaking these videos with flexplot. Check this playlist in a few weeks/months: ruclips.net/p/PL8F480DgtpW9W-PEX0f2gHl8SnQ7PtKBv
dear sir i am getting thid problem Warning messages: 1: Computation failed in `stat_smooth()`: object 'logistic' of mode 'function' was not found 2: Computation failed in `stat_smooth()`: object 'logistic' of mode 'function' was not found 3: Computation failed in `stat_smooth()`: object 'logistic' of mode 'function' was not found
Finally good video! Straight to the point without screaming at me
absolutely LOVE your energy in your videos Prof.
By the way, this video is freaking awesome! I'm in a bit of an accelerated econometrics class, and this video has been absolute gold with respect to deriving clearer insights and comparing models!
Your students are very lucky ! Thank you a lot
Hi, thanks for explaining the distribution families. It helps alot.
This explanation at 13:10 is exactly what I need but for interactions. I just lost one full day getting tangled in glmm results.
oh man your videos are incredibly helpful!!!!
Great video very clearly explained. Thank you
Hey, thanks for sharing these videos! It has been pretty useful 😊
How did you run the Gamma model without having problems with the negative values of the variables?
Just add a constant to make them all over zero.
I don't understand, why we plot the outcome variable at the beginning. Because glm does only make assumption about the distribution of the residuals...
Is there any chance to get/download the dataset?
This might sound dumb, but what does the ghost line represent? Is it supposed to be the average trend/relationship for the dataset as a whole?
A great video as always but there is a reason people use the cars dataset. How do you think a person who has been raped is going to feel as they try to watch this video. Are they going to find it easy to focus on general linear models or are they maybe going to be thinking about something else. Just some food for thought.
Fifer package is not available anymore
It's still on github at github.com/dustinfife/fifer
I can't guarantee fifer will work, but it has been superseded by flexplot (github.com/dustinfife/flexplot). I'm guessing the functions mentioned here will work with flexplot. See my flexplot manual at psyarxiv.com/kh9c3/download
I am in the process of remaking these videos with flexplot. Check this playlist in a few weeks/months: ruclips.net/p/PL8F480DgtpW9W-PEX0f2gHl8SnQ7PtKBv
dear sir i am getting thid problem
Warning messages:
1: Computation failed in `stat_smooth()`:
object 'logistic' of mode 'function' was not found
2: Computation failed in `stat_smooth()`:
object 'logistic' of mode 'function' was not found
3: Computation failed in `stat_smooth()`:
object 'logistic' of mode 'function' was not found
I always pronounce Poisson as "poison".