complete_levels: Create a data.frame with all factor or character levels
In marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
View source: R/complete_levels.R
complete_levels R Documentation
Create a data.frame with all factor or character levels
Description
model.matrix breaks when newdata includes a factor
variable, but not all levels are present in the data. This is bad for us
because we often want to get predictions with one (or few) rows, where some
factor levels are inevitably missing.
Usage
complete_levels(x, character_levels = NULL)
marginaleffects documentation built on Oct. 5, 2024, 5:06 p.m.
R Package Documentation
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View source: R/complete_levels.R
| complete_levels | R Documentation |
Create a data.frame with all factor or character levels
Description
model.matrix breaks when newdata includes a factor
variable, but not all levels are present in the data. This is bad for us
because we often want to get predictions with one (or few) rows, where some
factor levels are inevitably missing.
Usage
complete_levels(x, character_levels = NULL)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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