modelData: Create a _FULL_ dataset based on a model object
In MichaelJMahometa/SDSRegressionR: Helper functions for Applied Regression Analysis
Description
Usage
Arguments
Examples
Description
Simple function to produce a FULL dataset (all variables) for the observations from a model run in lm(). This is useful in running a nested regression.
Usage
1
Arguments
obj
Model object from an lm() fitted equation.
all.vars
Logical. Should the new dataset contain all the variables from the original, or just a the selection used in the model? Defaults to TRUE.
key.variable
Name of the unique key variable (identifier variable). Only used if all.vars=FALSE.
Examples
1
2
MichaelJMahometa/SDSRegressionR documentation built on March 3, 2021, 10:51 p.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.
Description Usage Arguments Examples
Description
Simple function to produce a FULL dataset (all variables) for the observations from a model run in lm(). This is useful in running a nested regression.
Usage
1 |
Arguments
obj |
Model object from an |
all.vars |
Logical. Should the new dataset contain all the variables from the original, or just a the selection used in the model? Defaults to TRUE. |
key.variable |
Name of the unique key variable (identifier variable). Only used if |
Examples
1 2 |
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.