make_quadratic: Orthogonal quadratic polynomials for glmnet
In rvalavi/myspatial: A collection of functions for spatial data analysis and modelling
Description
Usage
Arguments
Value
Author(s)
View source: R/prediction_helper.R
Description
A function to create quadratic terms for glmnet functions i.e. lasso and ridge regression.
The output is an object of make_quadratic that can be used to predict on rasters and data.frames
for creating the quadratic terms.
Usage
1
make_quadratic(df, cols = NULL, verbose = TRUE)
Arguments
df
a data.frame, typically the training data.
cols
the name or index of the columns to be transformed. If NULL, all the columns will be transformed.
The factor columns won't be transformed.
verbose
logical. print messages.
Value
an object of make_quadratic that can be used to predict on rasters and data.frames
Author(s)
Roozbeh Valavi
rvalavi/myspatial documentation built on May 15, 2021, 12:14 a.m.
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Description Usage Arguments Value Author(s)
View source: R/prediction_helper.R
Description
A function to create quadratic terms for glmnet functions i.e. lasso and ridge regression. The output is an object of make_quadratic that can be used to predict on rasters and data.frames for creating the quadratic terms.
Usage
1 | make_quadratic(df, cols = NULL, verbose = TRUE)
|
Arguments
df |
a data.frame, typically the training data. |
cols |
the name or index of the columns to be transformed. If NULL, all the columns will be transformed. The factor columns won't be transformed. |
verbose |
logical. print messages. |
Value
an object of make_quadratic that can be used to predict on rasters and data.frames
Author(s)
Roozbeh Valavi
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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