Logistic regression in R

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

yybujyx
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Amazing, thank you for this video lesson!

romanvasiura
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thanks a lot always adding something to me

ahmedelkholy
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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)

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

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

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

flaviaoliveira
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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?

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

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

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

hannukoistinen