Multiple linear regression with interaction in R

  Рет қаралды 42,050

Equitable Equations

Equitable Equations

Күн бұрын

Пікірлер: 31
@EquitableEquations
@EquitableEquations 2 жыл бұрын
You can find the script from this vid (and others) at github.com/equitable-equations/youtube.
@Sam_1984a
@Sam_1984a Жыл бұрын
THANK YOU. This is the clearest explanation I've found. It's not that complicated but for some reason it's so hard to find a clear explanation.
@EquitableEquations
@EquitableEquations Жыл бұрын
I know, right?!
@meseretmuche6984
@meseretmuche6984 10 ай бұрын
Impressive video, thank you so much. Q. how to add confidence interval, statistics like p-value and correlation in multiple regression? Thank for your time and collaboration.
@santiagosotelo6881
@santiagosotelo6881 2 жыл бұрын
great video really well explained.
@max5916
@max5916 2 жыл бұрын
Great video we hope more about logistic regression
@EquitableEquations
@EquitableEquations 2 жыл бұрын
Yes! It's on my list, I promise. I have a few others to do first, I'm afraid.
@brazilfootball
@brazilfootball 2 жыл бұрын
Multiple logistic regression too, please! :D
@nyatonkitnya4267
@nyatonkitnya4267 2 жыл бұрын
Very helpful. Thanks.
@haraldurkarlsson1147
@haraldurkarlsson1147 11 ай бұрын
Here is my question. How do we know which is which in terms of the dependent and independent variables? In other words which is true? Flipper length controls body mass or body mass controls flipper length?
@romanvasiura6705
@romanvasiura6705 Жыл бұрын
Thank you!
@brazilfootball
@brazilfootball Жыл бұрын
Would you recommend mean-centering "flipper_length_mm" first or is it not necessary? If so, can you recommend a resource for how to do it in R and how to interpret the results?
@EquitableEquations
@EquitableEquations Жыл бұрын
Off the top of my head I can’t think of a reason it would be helpful in this setting. But it’s a wide world full of mystery and wonder, and I only understand little corners of it.
@brazilfootball
@brazilfootball Жыл бұрын
@@EquitableEquations No problem, thank you 😁
@DoctorJ-NY
@DoctorJ-NY Жыл бұрын
@@EquitableEquations in a related question, if there are two scale variables, does R automatically mean-center before calculating the interaction or do we need to do this first before using the lm() function?
@anitasosa3755
@anitasosa3755 Жыл бұрын
Hey, thanks a lot for this video!! Made my study a bit clearer. However, I'm struggling with my data bundle, and I'd like to ask for your help. In my case, the equivalent to bodymass would be transcripts per million (TPM: the amount of normalized transcripts of a specific gene). Flipper length would be a categorical variable, 'Exponential' and 'Stationary', and the Species would be the Treatment to which the cells have been submitted (Solid or Liquid growth). I'm struggling with the concept of the slope because my x variable is not numerical. Would you have some input about this? Thank you very much!
@samanthajooodemannn7987
@samanthajooodemannn7987 2 жыл бұрын
Can you do multiple interactions with this method? Like if you wanted to split up the data for flipper length for male Chinstrap, female Chinstrap, male Gentoo, and female Gentoo so you get 4 lines to compare to each other.
@EquitableEquations
@EquitableEquations 2 жыл бұрын
Sure, but I've always avoided this in practice. Overfitting is a risk.
@JWL100
@JWL100 2 жыл бұрын
great video
@EquitableEquations
@EquitableEquations 2 жыл бұрын
Thanks!
@freshhbresh3068
@freshhbresh3068 Жыл бұрын
If you had say 5 dependant variables and a 2 level factor variables, say species, do you need to multiply every dependent by species in the lm function?
@EquitableEquations
@EquitableEquations Жыл бұрын
Model selection is really complicated! In the end you just have to respect the data (though all else being equal I like simpler models without lots of higher-order terms).
@ConorBlunt
@ConorBlunt 2 жыл бұрын
Thanks very much for the great instructional video. Much appreciated! Can you help me with a minor detail please? I have 4 levels of a categorical variable('biostimulant') and my linear model summary output lists this variable by name then a number eg, Biostimulant1, Biostimulant2 etc. How does one identify what the variable name is, that R has assigned 1,2,3,4? Thanks in advance!
@EquitableEquations
@EquitableEquations 2 жыл бұрын
Hi! R goes alphabetically by default. Use summary() to see the details of the model with variables listed by name.
@brazilfootball
@brazilfootball 2 жыл бұрын
Great video, thank you! I'm confused though about the equation for the theory vs. in R. Why is the equation y = b0 + b1x1 +b2x2 +b3x1*x2, but we write it in R as glm(x1 ~ x2*x3...) instead of glm(x1 ~ x2 + x3 + x2*x3...)? As in: body_mass_g ~ flipper_length_mm + species + flipper_length_mm * species? Hopefully that's clear, haha.
@EquitableEquations
@EquitableEquations 2 жыл бұрын
Hi! First off, there's no need to use glm here instead of lm since there's no link function involved. Regardless, either command will include individual terms all interaction variables by default when you use *. This is generally best practice, but if you need to override it, you can do so but replacing x2*x3 with x2:x3.
@brazilfootball
@brazilfootball 2 жыл бұрын
@@EquitableEquations Ah, yes, sorry for confusion. I copied the glm part from my code. Thank you!
@neiltalbert7091
@neiltalbert7091 8 ай бұрын
Helped with a conference paper. Thanks
@chasechristian9309
@chasechristian9309 2 жыл бұрын
dang i wish u were my teacher
@Jaymastia
@Jaymastia Жыл бұрын
You look and sound like little finger from game of thrones
@EquitableEquations
@EquitableEquations Жыл бұрын
Ouch dude 🤣🤣🤣
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