high_correlation_features: Determines which columns are too highly correlated.
In jeroenvdhoven/datapiper: datapiper
Description
Usage
Arguments
Value
View source: R/correlation_removal.R
Description
Determines which columns are too highly correlated.
Usage
1
2
high_correlation_features(data, exclude_columns = character(0),
threshold = 0.8)
Arguments
data
The data frame to use for determining which columns are highly correlated. Must be all numeric.
exclude_columns
Columns that will not be used to determine too highly correlated features. Should include at least your response.
threshold
If the absolute correlation between two variables is higher than this value, the pair will be registered as too highly correlated. Defaults to 0.8
Value
A dataframe with two columns, representing pairs of columns that are highly correlated
jeroenvdhoven/datapiper documentation built on July 14, 2019, 9:34 p.m.
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Description Usage Arguments Value
View source: R/correlation_removal.R
Description
Determines which columns are too highly correlated.
Usage
1 2 | high_correlation_features(data, exclude_columns = character(0),
threshold = 0.8)
|
Arguments
data |
The data frame to use for determining which columns are highly correlated. Must be all numeric. |
exclude_columns |
Columns that will not be used to determine too highly correlated features. Should include at least your response. |
threshold |
If the absolute correlation between two variables is higher than this value, the pair will be registered as too highly correlated. Defaults to 0.8 |
Value
A dataframe with two columns, representing pairs of columns that are highly correlated
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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