pre_dummy_code: Function that converts categorical temporal predictors into...
In ML4LHS/gpmodels: A Grammar of Prediction Models
pre_dummy_code R Documentation
Function that converts categorical temporal predictors into dummy variables
Description
Note that you can you can use this to dummy code variables with numerical values
where the values are supposed to map to categorical levels (e.g, 1 means high and 2
means low).
Usage
pre_dummy_code(
time_frame = NULL,
numeric_threshold = 0.5,
variables = NULL,
save_time_frame = TRUE
)
Details
Either provide a threshold (defaults to 0.5) or provide a vector of variables.
If you supply a vector of variables, this takes precedence over the numeric threshold.
ML4LHS/gpmodels documentation built on Feb. 1, 2024, 8:31 a.m.
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| pre_dummy_code | R Documentation |
Function that converts categorical temporal predictors into dummy variables
Description
Note that you can you can use this to dummy code variables with numerical values where the values are supposed to map to categorical levels (e.g, 1 means high and 2 means low).
Usage
pre_dummy_code(
time_frame = NULL,
numeric_threshold = 0.5,
variables = NULL,
save_time_frame = TRUE
)
Details
Either provide a threshold (defaults to 0.5) or provide a vector of variables. If you supply a vector of variables, this takes precedence over the numeric threshold.
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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