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print.summary.sreg.r
# fields, Tools for spatial data
# Copyright 2004-2011, Institute for Mathematics Applied Geosciences
# University Corporation for Atmospheric Research
# Licensed under the GPL -- www.gpl.org/licenses/gpl.html
"print.summary.sreg" <- function(x, ...) {
    digits <- x$digits
    c1 <- "Number of Observations:"
    c2 <- x$num.observation
    c1 <- c(c1, "Number of unique points:")
    c2 <- c(c2, x$num.uniq)
    c1 <- c(c1, "Eff. degrees of freedom for spline:")
    c2 <- c(c2, format(round(x$enp, 1)))
    c1 <- c(c1, "Residual degrees of freedom:")
    c2 <- c(c2, format(round(x$num.observation - x$enp, 1)))
    c1 <- c(c1, "GCV est. sigma ")
    c2 <- c(c2, format(signif(x$shat.GCV, digits)))
    if (!is.na(x$shat.pure.error)) {
        c1 <- c(c1, "Pure error sigma")
        c2 <- c(c2, format(signif(x$shat.pure.error, digits)))
    }
    c1 <- c(c1, "lambda ")
    c2 <- c(c2, signif(x$lambda, digits))
    #\tc1 <- c(c1, 'Cost in GCV')
    #\tc2 <- c(c2, format(round(x$cost, 2)))
    #\tc1 <- c(c1, 'GCV Minimum')
    #\tc2 <- c(c2, format(signif(x$gcvmin, digits)))
    sum <- cbind(c1, c2)
    dimnames(sum) <- list(rep("", dim(sum)[1]), rep("", dim(sum)[2]))
    res.quantile <- x$res.quantile
    names(res.quantile) <- c("min", "1st Q", "median", "3rd Q", 
        "max")
    ###
    ###
    ###
    cat("CALL:\n")
    dput(x$call)
    print(sum, quote = FALSE)
    cat("\n")
    cat("RESIDUAL SUMMARY:", fill = TRUE)
    print(signif(res.quantile, digits))
    cat("\n")
    cat("DETAILS ON SMOOTHING PARAMETER:", fill = TRUE)
    cat(" Method used:  ", x$method, "   Cost: ", x$cost, fill = TRUE)
    #\tcat(' Stats on this choice of lambda', fill = TRUE)
    print(x$sum.gcv.lambda, digits = digits)
    cat("\n")
    cat(" Summary of estimates for lambda", fill = TRUE)
    print(x$lambda.est, digits = x$digits)
    invisible(x)
}
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