Root mean squared error of area is a meansure proposed by Silva et al. (2019). It
is used to evaluate the performance of symbolic polygonal linear regression model (
is the response variable of polygonal linear regression model.
are the polygons obtained from polygonal linear regression model as fitted values of the response variable.
rmsea the value of the root mean squared error of area.
Silva, W.J.F, Souza, R.M.C.R, Cysneiros, F.J.A. (2019) https://www.sciencedirect.com/science/article/pii/S0950705118304052.
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yp <- psim(10, 10) #simulate 10 polygons of 10 sides xp1 <- psim(10, 10) #simulate 10 polygons of 10 sides xp2 <- psim(10, 10) #simulate 10 polygons of 10 sides e <- new.env() e$yp <- yp e$xp1 <- xp1 e$xp2 <- xp2 fit <- plr(yp~xp1+xp2-1, e) yp_fitted <- fitted(fit, polygon = TRUE, vertices = 10) #Shows the polygon fitted from plr rmsea(yp, yp_fitted)
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