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Webb30 nov. 2016 · R squared between two vectors is just the square of their correlation. So you can define you function as: rsq <- function (x, y) cor (x, y) ^ 2. Sandipan's answer will … Webb26 jan. 2013 · E.g. for a scam model that uses stricly increasing splines (bs="mpi" in the spline term), the fitted model for the worst possible scenario (e.g. where your data was strictly decreasing) would be a flat line, and hence would result in an R2 of zero. Adjusted R2 then also penalize models with higher nrs of fitted parameters. WebbConclusion. Correlation and R-squared are two important measures in statistical analysis. Correlation measures the strength of the relationship between two variables, while R-squared measures the amount of variation in the data that is explained by the model. fluke networks etherscope network assistant