modelMatrix: Create a sparse design matrix from data frame
In dhelkey/dghrank: Construct Draper-Gittoes-Helkey Institution Rankings
Description
modelMatrix takes in a data.frame and encodes it as a sparse model.Matrix object.
Factors use treatment ("one-hot") encoding, creating indicator variables from categorical
and binary variables.
Note that names of categorical variables will change slightly
(n-1 unique values appended to name)
Usage
1
modelMatrix(x, interactions = FALSE, intercept = FALSE)
Arguments
x
A data.frame with finite, non-missing elements.
interactions
Logical; if TRUE then all interactions included.
intercept
Logcal; if TRUE then include a leading column of 1's.
dhelkey/dghrank documentation built on April 21, 2020, 9:11 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.
Description
modelMatrix takes in a data.frame and encodes it as a sparse model.Matrix object.
Factors use treatment ("one-hot") encoding, creating indicator variables from categorical
and binary variables.
Note that names of categorical variables will change slightly
(n-1 unique values appended to name)
Usage
1 | modelMatrix(x, interactions = FALSE, intercept = FALSE)
|
Arguments
x |
A data.frame with finite, non-missing elements. |
interactions |
Logical; if |
intercept |
Logcal; if |
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.