hat_matrix: hat_matrix
In Jiaxin-Cara-Qian/testpackage: Resisuals and Outlier Influence in Linear Regression
Description
Usage
Arguments
Value
Examples
Description
Finds the index of the largest leverage value
Usage
1
hat_matrix(fit.model)
Arguments
fit.model
takes an R object, returned by lm
Value
A list containg the following components:
maximum hi - which subject has the maximum value of the leverage
hi>2*mean(H) - what subjects are outliers in the X space, and their leverage values
Examples
1
2
3
4
5
##Use demo_data (See ?demo_data for more information about the dataset)
m = lm(fev~A+H+M+S, data = demo_data)
hat_matrix(m)
hat_matrix(m)[1]
hat_matrix(m)[2]
Jiaxin-Cara-Qian/testpackage documentation built on Dec. 18, 2021, 1:30 a.m.
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Description Usage Arguments Value Examples
Description
Finds the index of the largest leverage value
Usage
1 | hat_matrix(fit.model)
|
Arguments
fit.model |
takes an R object, returned by lm |
Value
A list containg the following components:
maximum hi - which subject has the maximum value of the leverage
hi>2*mean(H) - what subjects are outliers in the X space, and their leverage values
Examples
1 2 3 4 5 | ##Use demo_data (See ?demo_data for more information about the dataset)
m = lm(fev~A+H+M+S, data = demo_data)
hat_matrix(m)
hat_matrix(m)[1]
hat_matrix(m)[2]
|
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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