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This function computes the partial R-squared of all selected eigenvectors in a spatially filtered linear regression model.
partialR2(y, x = NULL, evecs)
Vector of partial R-squared values of the eigenvectors.
response variable
vector/ matrix of regressors
(selected) eigenvectors
Sebastian Juhl
lmFilter, getEVs
lmFilter
getEVs
data(fakedata) y <- fakedataset$x1 x <- fakedataset$x2 # get eigenvectors E <-getEVs(W = W, covars = NULL)$vectors (out <- partialR2(y = y, x = x, evecs = E[, 1:5]))
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