make_contrasts: One-hot encode categorical covariates
In ensley-nexant/cfeval: Causal Forest Evaluation and Visualization
Description
Usage
Arguments
Details
Value
Examples
Description
The causal_forest algorithm requires inputs to be numeric
matrices. This function uses model.matrix to create such
a matrix from a data frame of covariates.
Usage
1
make_contrasts(X, vars)
Arguments
X
A data frame of covariates. May contain both numeric and categorical
features together.
vars
A character vector of covariates to one-hot encode.
Details
No levels are dropped during the one-hot encodeing; a covariate with n
levels will turn into n binary columns.
No intercept term is returned in the matrix.
Value
A numeric matrix
Examples
1
2
3
4
5
## Not run:
Xdat <- subset(cfex, select = -c(W, Y))
make_contrasts(Xdat, 'fct')
## End(Not run)
ensley-nexant/cfeval documentation built on May 20, 2020, 12:34 a.m.
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Description Usage Arguments Details Value Examples
Description
The causal_forest algorithm requires inputs to be numeric
matrices. This function uses model.matrix to create such
a matrix from a data frame of covariates.
Usage
1 | make_contrasts(X, vars)
|
Arguments
X |
A data frame of covariates. May contain both numeric and categorical features together. |
vars |
A character vector of covariates to one-hot encode. |
Details
No levels are dropped during the one-hot encodeing; a covariate with n levels will turn into n binary columns.
No intercept term is returned in the matrix.
Value
A numeric matrix
Examples
1 2 3 4 5 | ## Not run:
Xdat <- subset(cfex, select = -c(W, Y))
make_contrasts(Xdat, 'fct')
## End(Not run)
|
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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