Really good video, Mr Scott!

Beautiful! I wish it was explained this perfectly when I went to high school 20 years ago 🫠

Where is pdf? I'd love to see it for more complete info

Great! Thank you. KeepSmiling ☺️🌺

Enjoyed the video; disappointed the.csv file was no where to be found.

Super clear! Thank you

thank you, the explanation was clear!

Logarithms without a base written is understood to be base 10, not e.

Very helpful

Thanks

Can't find csv file

Great stuff! However, there were also NAs regarding the age. Am I using an updated set of data?

Very interesting.

so I wonder if it makes sense to turn time dimension in to a dummy variable like # number of tourists in a given location as a function of time of the year , is this legit ? am asking this , because I don't want to lose information in reducing time to factors /dummy variables ?! or the contrary am enhancing the model in using it in such form ! your input is highly appreciated

danke vielmal , very lucid and professional explanation of such important concept !

excellent, please post a video on bootstraping on correaltion coefficients using map function

Hi Scott can you kindly share your workspace file?

Taking a logarithm of a negative value? Seriously? Sir James Scott, you are just dumb.

Hi James, thanks for the video. By the way how can I match multiple groups??

Where can we find the "course packet"?

Awesome. Thank you!

Is it possible to find the turnout.csv file online?

Hi James, i am trying to match an intervention group with a control based on gender, age, and domestic/int student. I tried this code: f4s_match = matchit(Condition_Code ~ Age + Gender + DomesticBranch1, data = f4s, ratio=1) but got this error "Error in eval(family$initialize) : y values must be 0 <= y <= 1 > " is it because of the categorical variables?

Can anyone tell me the author of the book "Statistical Modeling" being used here?

Thank you for the video

low sound

Really good series. Love the cognitive tax point. Thank you

Thank you. This was a really good video and overview.

What book or chapter or article are you showing here?

This is by far one of the most explicit tutorials on conditional probabilities in r. I've learned so much watching this. Thanks for sharing

Super course by pro teacher - got me started with RStudio - many thanks

Really great video!

You're the Man, thanks for the beautiful explanation. Can you please put more content in R as well? Thank You!

This is helpful. Thank you.

Error in library(mosaic) : there is no package called ‘mosaic’. i am getting this error

Doubling time formula should be antilog2/0.021=33.007

Thank you for the video, Dr. Scott!

This is very clear as I mostly use Stata and am afraid to use R but now I certainly subscribed. Thanks a lot!

thank you very much for this video, James, you've saved the statistics semester for me!!!

Very well explained! Thank you for this info :-)

Hello Sir, thank you for the video .. well explained for the beginners like me.

Hi, how can I generate 500 data points and take some points from there, to generate a regression?

Nice explanation, thank you for your effort

Brilliant. Thank you

thank you so much! great explanation

0:8 I will setup your blog and setup it to earn money w h a t s a p p +7 9 6 7 1 5 7 0 5 8 1

where can I download the csv file????

where can I get the toyimports.csv file? I need it to follow the video

Can you share the .CSV file? without it is hard to follow the video

and the database for practice? I cannot follow this video without the databe used here