All Questions
7 questions
16
votes
2
answers
63k
views
Understanding dummy (manual or automated) variable creation in GLM
If a factor variable (e.g. gender with levels M and F) is used in the glm formula, dummy variable(s) are created, and can be found in the glm model summary along with their associated coefficients (e....
- 263
6
votes
2
answers
11k
views
Removing intercept from GLM for multiple factorial predictors only works for first factor in model
I am running a binomial logistic regression with a logit link function in R. My response is factorial [0/1] and I have two multilevel factorial predictors - let's call them $a$ and $b$ where $a$ has 4 ...
- 73
2
votes
1
answer
585
views
regression models and dummy variables
I have a output variable and 1 categorical predictor and 3 continuous predictors.
...
- 796
1
vote
1
answer
585
views
Why are variables in GLM being split into multiple output variables
I have input for glm that looks like
BMI $grp PRS age gene
24.2 1 3.0 77 0.0
33.8 1 4.0 89 0.0
30.3 1 7.0 58 0.0
I’m inputting this into ...
- 133
1
vote
1
answer
1k
views
Do we need a reference dummy variable for non-mutually exclusive groups?
I am trying to build a GLMM and have converted a group of factors to dummy variables. Many have multiple groups and I would like to test the interactions between them as well. Do I need a reference ...
- 11
0
votes
1
answer
61
views
How to analyse count data that include 0 as a category?
I'm testing the yield of corn subject to two treatments: Temperature (Cold and Warm) and Light Color (Red, Blue, Natural.) The number of plants per plot that produced no cobs, one cob, two cobs and ...
- 51
0
votes
1
answer
1k
views
h2o glm tweedie for categorical variables?
To build a tweedie glm for categorical variables, the document suggested that I can use data['variable_name'].asfactor().
However, in the model output, there is ...
