model_matrix: Preserves all factor levels when creating a model matrix
In mattmills49/modeler: Exploratory Data Analysis and Modeling Helper Functions
Description
Usage
Arguments
Value
Examples
Description
In some cases it's easier to not have a reference level for dummy variables.
This function will preserve all levels of character and factor variables when
using model.matrix.
Usage
1
model_matrix(object, .data)
Arguments
object
the formula for creating the model
.data
a data frame
Value
a numeric matrix to be used for modeling purposes
Examples
1
head(model_matrix(iris, Petal.Width ~ Petal.Length + Species))
mattmills49/modeler documentation built on May 21, 2019, 1:25 p.m.
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Description Usage Arguments Value Examples
Description
In some cases it's easier to not have a reference level for dummy variables. This function will preserve all levels of character and factor variables when using model.matrix.
Usage
1 | model_matrix(object, .data)
|
Arguments
object |
the formula for creating the model |
.data |
a data frame |
Value
a numeric matrix to be used for modeling purposes
Examples
1 | head(model_matrix(iris, Petal.Width ~ Petal.Length + Species))
|
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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