Logistic regression in R

Learn how to use R to fit a model to a binary (yes/no) response variable, regardless of whether you have raw data or proportions. If this vid helps you, please help me a tiny bit by mashing that 'like' button. For more #rstats joy, crush that 'subscribe' button!

[@EquitableEquations]

You can find materials supporting this vid (and others) at github.com/equitable-equations/youtube.

[@muqadasjaved7751]

Can you please do multivariate detrended fluctuations analysis or multifractal detrended fluctuations analysis in rstudio?

[@user-yy7bu7jy1x]

omg thank you so much, I did almost the whole data analysis course at uni based on your videos😁 amazingly well explained and usable🙏

[@romanvasiura6705]

Amazing, thank you for this video lesson!

[@ahmedelkholy1323]

thanks a lot always adding something to me

[@weberb2781]

Hope you talk about the {fixest} package, it is very convenient to use this package for regression.

[@leoniepfeifer4091]

Hi Thanks for the great video!!Do i need to mark the binary variable as binary? Because in R its recognized as "num"

[@AlbertoFCabreraCasillas]

Nice explanation of logistic regression. Even your intentional mistakes created learning opportunities. In a future follow up , may I suggest sharing with the viewer tips as to how to make meaning of the parameters (e.g., reporting log of odds)

[@EquitableEquations]

You read my mind! That's high on my list.

[@djprometheus923]

the GOAT

[@libbybendror]

your videos are the best! Any chance you will do MLM video please?

[@EquitableEquations]

Great suggestion!

[@daniellerobinson3688]

@@EquitableEquations I second this!! An MLM video would be exteremly useful.

[@badermuteb4552]

how did you simulate the data and load it as csv? sorry for the newbie question

[@EquitableEquations]

Hi! I'm planning on making vids about simulating data later in the year. You might start by googling "inverse CDF method". You can write a data set to a file with write_csv() and read it back with read_csv(), both from the {readr} package.

[@Ammarsays]

Is it necessary to convert binary response variable into "0" and "1". Mine is "Yes" and "No". Is there a better way to convert it?

[@EquitableEquations]

The response doesn't have to be 0 and 1, but it does have to be a factor with 2 levels. Probably as.factor() is your friend here.

[@romanvasiura6705]

Thank you!

[@EquitableEquations]

You got it, man!

[@flaviaoliveira5949]

what if there's more than 2 groups they can fall into?

[@EquitableEquations]

It's still possible to use logistic regression in that case (for instance with indicator variables), but in practice other techniques tend to be used instead.

[@user-ib6yx4iw5h]

Why do we write se = False

[@damirb6294]

interpretation of the results missing

[@hannukoistinen5329]

But you don't do any testing, which is mandatory to give reliable results for your client!!!

[@EquitableEquations]

Nope this isn't complete in lots of ways.