Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
2
votes
1
answer
826
views
Adding a Dummy Variable to glm in R?
I'm running a glm in R with two categorical variables, one of which is binary, the other of which can take on five values. I would like it so that my model returns an intercept value that reflects the …
1
vote
1
answer
393
views
Interpreting $G^2$ with respect to $\chi^2$
As such, when trying to find a relationship (if any) between the two binary variables (putting aside the final one for now), I utilized the method logistic regression (I'm working in R, so plugging it … The results of my testing are below:
R outputs null deviance when you run logistic regressions, and from what I understand, that is typically denoted as $G^2$. …