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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
spind2full <- function(obj) {
# create empty matrix and stuff at non zero locations
temp <- matrix(0, obj$da[1], obj$da[2])
temp[obj$ind] <- obj$ra
return(temp)
}
spind2spam <- function(obj, add.zero.rows = TRUE) {
# Check if there is one or more missing rows. If so either stop or fill in these rows
# with a zero value
rows.present <- unique(obj$ind[, 1])
if (length(rows.present) < obj$da[1]) {
# The missing row indices
ind.missing <- (1:obj$da[1])[-rows.present]
N.missing <- length(ind.missing)
if (!add.zero.rows) {
cat(N.missing, " missing row(s)", fill = TRUE)
stop("Can not coerce to spam format with add.zero.rows==FALSE")
}
else {
# put a hard zero in the first column of each missing row
obj$ind <- rbind(obj$ind, cbind(ind.missing, rep(1,
N.missing)))
obj$ra <- c(obj$ra, rep(0, N.missing))
}
}
# sort on rows and then columns to make sure they are in order
ii <- order(obj$ind[, 1], obj$ind[, 2])
# shuffle indices and entries so they are in row order
obj$ind <- obj$ind[ii, ]
obj$ra <- obj$ra[ii]
ia <- obj$ind[, 1]
# define total number of nonzero elements
M <- length(ia)
# find places where rows change
hold <- diff(c(0, ia, M + 1))
# Note: 1:M is the cumsum for elements.
ia <- (1:(M + 1))[hold != 0]
return(new("spam", entries = as.numeric(obj$ra), colindices = as.integer(obj$ind[,
2]), rowpointers = as.integer(ia), dimension = as.integer(obj$da)))
}
spam2spind <- function(obj) {
# diff gives the number of nonzero elements in each row
I <- rep((1:obj@dimension[1]), diff(obj@rowpointers))
list(ind = cbind(I, obj@colindices), da = obj@dimension,
ra = obj@entries)
}
spam2full <- function(obj) {
spind2full(spam2spind(obj))
}
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