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fit<- lm(y~x+ I(x^2), data=df)
(vif<- check_collinearity(fit))
#> # Check for Multicollinearity#> #> High Correlation#> #> Term VIF VIF 95% CI Increased SE Tolerance Tolerance 95% CI#> x 6318.52 [4361.06, 9154.78] 79.49 1.58e-04 [0.00, 0.00]#> I(x^2) 6318.52 [4361.06, 9154.78] 79.49 1.58e-04 [0.00, 0.00]
plot(vif)
#> Variable `Component` is not in your data frame :/
Using poly(..., raw = TRUE)
fit2<- lm(y~ poly(x, degree=2, raw=TRUE), data=df)
(vif2<- check_collinearity(fit2))
#> Not enough model terms in the conditional part of the model to check for#> multicollinearity.#> NULL
plot(vif2)
#> Warning in min(x): no non-missing arguments to min; returning Inf#> Warning in max(x): no non-missing arguments to max; returning -Inf#> Warning in min(x): no non-missing arguments to min; returning Inf#> Warning in max(x): no non-missing arguments to max; returning -Inf#> Error in plot.window(...): need finite 'xlim' values
Using poly(...)
fit3<- lm(y~ poly(x, degree=2), data=df)
(vif3<- check_collinearity(fit3))
#> Not enough model terms in the conditional part of the model to check for#> multicollinearity.#> NULL
plot(vif3)
#> Warning in min(x): no non-missing arguments to min; returning Inf#> Warning in min(x): no non-missing arguments to max; returning -Inf#> Warning in min(x): no non-missing arguments to min; returning Inf#> Warning in max(x): no non-missing arguments to max; returning -Inf#> Error in plot.window(...): need finite 'xlim' values
Using
I()
Using
poly(..., raw = TRUE)
Using
poly(...)
Created on 2024-06-12 with reprex v2.1.0
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