# fields, Tools for spatial data # Copyright 2004-2007, Institute for Mathematics Applied Geosciences # University Corporation for Atmospheric Research # Licensed under the GPL -- www.gpl.org/licenses/gpl.html "summary.Krig" <- function (object, digits = 4, ...) { x <- object # lambda est may not be available if lambda has been supplied by user. if (!is.na(x$lambda.est[1])){ l.est<- x$lambda.est} else{ l.est<- NA} summary <- list(call = x$call, num.observation = length(x$residuals), enp = x$eff.df, nt = x$nt, df.drift= sum(x$ind.drift), res.quantile = quantile(x$residuals, seq(0, 1, 0.25)), shat.MLE = x$shat.MLE, shat.GCV = x$shat.GCV, rhohat = x$rhohat, m = x$m, lambda = x$lambda, cost = x$cost, rho = x$rho, sigma2 = x$sigma2, num.uniq = length(x$yM), knot.model = x$knot.model, np = x$np, method = x$method, lambda.est = l.est, shat.pure.error = x$shat.pure.error, args=x$args) class(summary) <- "summary.Krig" summary$covariance <- cor(x$fitted.values * sqrt(x$weights), (x$y) * sqrt(x$weights))^2 hold <- (sum((x$y - mean(x$y))^2) - sum(x$residuals^2))/(sum((x$y - mean(x$y))^2)) summary$adjr2 <- 1 - ((length(x$residuals) - 1)/(length(x$residuals) - x$eff.df)) * (1 - hold) summary$digits <- digits summary$cov.function <- as.character(x$cov.function.name) summary$correlation.model <- x$correlation.model summary$sum.gcv.lambda <- summary.gcv.Krig(x, x$lambda) summary }