modelVars: extract predictor variables from a model
In ProjectMOSAIC/mosaicCore: Common Utilities for Other MOSAIC-Family Packages
modelVars R Documentation
extract predictor variables from a model
Description
extract predictor variables from a model
Usage
modelVars(model)
Arguments
model
a model, typically of class lm or glm
Value
a vector of variable names
Examples
if (require(mosaicData)) {
model <- lm( wage ~ poly(exper, degree = 2), data = CPS85 )
modelVars(model)
}
ProjectMOSAIC/mosaicCore documentation built on Nov. 10, 2023, 12:15 a.m.
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.
| modelVars | R Documentation |
extract predictor variables from a model
Description
extract predictor variables from a model
Usage
modelVars(model)
Arguments
model |
a model, typically of class |
Value
a vector of variable names
Examples
if (require(mosaicData)) {
model <- lm( wage ~ poly(exper, degree = 2), data = CPS85 )
modelVars(model)
}
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.