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#
# fields is a package for analysis of spatial data written for
# the R software environment.
# Copyright (C) 2024 Colorado School of Mines
# 1500 Illinois St., Golden, CO 80401
# Contact: Douglas Nychka, douglasnychka@gmail.com,
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with the R software environment if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
# or see http://www.r-project.org/Licenses/GPL-2
##END HEADER
"fast.1way" <- function(lev, y, w = rep(1, length(y))) {
# w are proportional to reciprocal variance.
if (!is.matrix(y)) {
y <- as.matrix(y)
}
N <- nrow(y)
NC <- ncol(y)
# ordered unique values of lev
tags <- lev[!duplicated(lev)]
NR <- length(tags)
# lev are now integer tags
lev <- match(lev, tags)
#
means <- matrix(NA, nrow = NR, ncol = NC)
# add together weights with same lev
w.means <- c(tapply(w, lev, sum))
for (k in 1:NC) {
# find weighted means for each lev
means[, k] <- (tapply(y[, k] * w, lev, sum)/w.means)
}
# find SS
SSE <- colSums((w * (y - means[lev, ])^2))
MSE <- SSE/(N - NR)
list(n = N, means = means, SSE = SSE, w.means = w.means,
MSE = MSE, lev = lev, tags = tags)
}
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