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R

Logistic Regrets 1: intro to logistic regression

less than 1 minute read

Published:

This is the first in a planned series of r-markdown explorations of logistic models, intended for bachelors or masters students. It covers the basics of the relationship between probability and log odds, basic data simulation, running and interpreting a logistic GLM, and plotting model predictions. Read on here. You’ll have to download and knit the Rmd file to view any of the latex equations properly (sorry!!!).

data analysis

Logistic Regrets 1: intro to logistic regression

less than 1 minute read

Published:

This is the first in a planned series of r-markdown explorations of logistic models, intended for bachelors or masters students. It covers the basics of the relationship between probability and log odds, basic data simulation, running and interpreting a logistic GLM, and plotting model predictions. Read on here. You’ll have to download and knit the Rmd file to view any of the latex equations properly (sorry!!!).

tutorial

Logistic Regrets 1: intro to logistic regression

less than 1 minute read

Published:

This is the first in a planned series of r-markdown explorations of logistic models, intended for bachelors or masters students. It covers the basics of the relationship between probability and log odds, basic data simulation, running and interpreting a logistic GLM, and plotting model predictions. Read on here. You’ll have to download and knit the Rmd file to view any of the latex equations properly (sorry!!!).