print.summary.sreg.R
# fields, Tools for spatial data
# Copyright 2004-2013, 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)
}