get_most_significant_variables: get_most_significant_variables
In Skjemaa/GA: Selects covariates for use in regression using genetic algorithm
Description
Usage
Arguments
Value
Description
Used to get the most significant covariates by recursively eliminating
the one with a p-value > p_val. This function can be used for the
first generation in order to decrease the number of covariates that will
be taken into account in the iterations
Usage
1
get_most_significant_variables(dataset, y, p_val = 0.05)
Arguments
dataset
the dataframe containing the data
y
the response variable
p_val
the threshold p-value, a covariate is kept if its p-value is
less than p_val
Value
a vector containing the names of the covariates that have been kept
Skjemaa/GA documentation built on May 3, 2019, 6:42 p.m.
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Description Usage Arguments Value
Description
Used to get the most significant covariates by recursively eliminating the one with a p-value > p_val. This function can be used for the first generation in order to decrease the number of covariates that will be taken into account in the iterations
Usage
1 | get_most_significant_variables(dataset, y, p_val = 0.05)
|
Arguments
dataset |
the dataframe containing the data |
y |
the response variable |
p_val |
the threshold p-value, a covariate is kept if its p-value is less than p_val |
Value
a vector containing the names of the covariates that have been kept
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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