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 | |
Results tagged with ordinal-data
Search options not deleted
user 198017
Data with categorical values that can be ordered by magnitude, but the exact distance (spacing) between categories is undefined or unknown.
0
votes
0
answers
136
views
Plotting probabilities from firth's logistic regression with ordinal predictor in R
I have fit a model using firth's logistic regression.
library(logistf)
Model <- logistf(a~b, data = data)
Where b is an ordinal variable with 3 levels. Therefore the summary of the model looks like …
- 306
2
votes
2
answers
464
views
How to interpret insignificant intercept in logistic regression with orthogonal polynomial e...
I have conducted a logistic regression.
Model <- logistf(A ~ C, family ="binomial"(link = "logit"), data=Data)
The dependent variable is binary (1,0) The sole independent variable is ordinal with 3 l …
- 306
5
votes
2
answers
2k
views
Interpreting coefficients of ordinal independent variables in logistic regression in R
I have conducted a logistic regression in R
> Model <- glm(A ~ B + C, family = "binomial", data = Data)
> summary(Model)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Inte …
- 306
1
vote
1
answer
664
views
VIF scores for ordinal independent variables
I suspected there was a high degree of multicollinearity in the independent variables of my data. Each of these variables is ordinal. The original model is
library(logistf)
EC_all <- logistf(Erad_cont …
- 306
3
votes
1
answer
2k
views
Testing multi-collinearity of ordinal independent variables in R
I am trying to conduct an ordinal logistic regression, but I first want to test if I fulfill the assumption of no multicollinearity. All of my 8 independent variables are ordinal with up to 5 levels. …
- 306
2
votes
1
answer
70
views
Comparing the predictive power of two non-independent ordinal independent variables
I am looking to compare the predictive power of two ordinal independent variables (RA & 0.5RA+0.5RM) on success (please see image).
These independent variables are not independent of each other.(C …
- 306