col_identify: Identifies multicollinearity using Pearson's coefficient and...
In UBC-MDS/collinearityR_tool: Identify Multicollinearity Issues
Description
Usage
Arguments
Examples
View source: R/collinearityR.R
Description
Returns a DataFrame containing Pearson's coefficient,
VIF with explanatory variables suggested for elimination.
An empty dataframe means no multicollinearity detected.
Usage
1
col_identify(df, X, y, corr_min = -0.8, corr_max = 0.8, vif_limit = 4)
Arguments
df
An input dataframe
X
Explanatory variables (vector of characters)
y
Response variable (single vector)
corr_min
(optional) A decimal number that serves as a threshold for selecting
a pair. This is a Pearson coefficient value. Default set at -0.8.
corr_max
(optional) A decimal number that serves as a threshold for selecting
a pair. This is a Pearson coefficient value. Default set at 0.8.
vif_limit
(optional) A decimal number that serves as a threshold for selecting
a pair. This is a VIF value. Default set at 4.
Examples
1
2
col_identify(iris, c("Sepal.Width", "Petal.Length"),
"Petal.Width", vif_limit = 0, corr_max = 0.3, corr_min = -0.3)
UBC-MDS/collinearityR_tool documentation built on Feb. 6, 2022, 9:41 p.m.
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Description Usage Arguments Examples
View source: R/collinearityR.R
Description
Returns a DataFrame containing Pearson's coefficient, VIF with explanatory variables suggested for elimination. An empty dataframe means no multicollinearity detected.
Usage
1 | col_identify(df, X, y, corr_min = -0.8, corr_max = 0.8, vif_limit = 4)
|
Arguments
df |
An input dataframe |
X |
Explanatory variables (vector of characters) |
y |
Response variable (single vector) |
corr_min |
(optional) A decimal number that serves as a threshold for selecting a pair. This is a Pearson coefficient value. Default set at -0.8. |
corr_max |
(optional) A decimal number that serves as a threshold for selecting a pair. This is a Pearson coefficient value. Default set at 0.8. |
vif_limit |
(optional) A decimal number that serves as a threshold for selecting a pair. This is a VIF value. Default set at 4. |
Examples
1 2 | col_identify(iris, c("Sepal.Width", "Petal.Length"),
"Petal.Width", vif_limit = 0, corr_max = 0.3, corr_min = -0.3)
|
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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