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# Copyright (c) 2019 - 2023, Adrian Dusa
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, in whole or in part, are permitted provided that the
# following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * The names of its contributors may NOT be used to endorse or promote products
# derived from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL ADRIAN DUSA BE LIABLE FOR ANY
# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
`compute` <-
function(expression = "", data = NULL, separate = FALSE, ...) {
expression <- recreate(substitute(expression))
if (grepl("<-|<=|=>|->", expression)) {
stopError("This function is not intended to calculate parameters of fit.")
}
enchar <- nchar(expression)
if (
identical(substring(expression, 1, 2), "~(") &
identical(substring(expression, enchar, enchar), ")")
) {
expression <- paste0("1-", substring(expression, 3, enchar - 1))
}
negated <- identical(unname(substring(expression, 1, 2)), "1-")
expression <- gsub("1-", "", expression)
if (is.null(data)) {
syscalls <- as.character(sys.calls())
usingwith <- "admisc::using\\(|using\\(|with\\("
if (any(usingdata <- grepl(usingwith, syscalls))) {
data <- get(
unlist(strsplit(gsub(usingwith, "", syscalls), split = ","))[1],
envir = length(syscalls) - tail(which(usingdata), 1)
)
}
else {
colnms <- colnames(
validateNames(
notilde(expression),
sort(eval.parent(parse(text = "ls()", n = 1)))
)
)
data <- vector(mode = "list", length = length(colnms))
for (i in seq(length(data))) {
data[[i]] <- eval.parent(
parse(text = sprintf("get(\"%s\")", colnms[i]), n = 1)
)
}
if (length(unique(unlist(lapply(data, length)))) > 1) {
stopError("Objects should be vectors of the same length.")
}
names(data) <- colnms
data <- as.data.frame(data)
}
}
multivalue <- grepl("\\{|\\}|\\[|\\]", expression)
if (!multivalue) {
mvsop <- mvSOP(expression, data = data, ... = ...)
ppm <- translate(mvsop, data = data, retlist = TRUE)
rownames(ppm) <- trimstr(unlist(strsplit(expression, split = "\\+")))
}
else {
ppm <- translate(expression, data = data, retlist = TRUE)
}
pp <- attr(ppm, "retlist")
retain <- apply(ppm, 2, function(x) any(x >= 0))
pp <- lapply(pp, function(x) x[retain])
ppm <- ppm[, retain, drop = FALSE]
data <- data[, retain, drop = FALSE]
infodata <- getInfo(data)
data <- infodata$data
verify(data)
tempList <- vector("list", length(pp))
for (i in seq(length(pp))) {
x <- which(ppm[i, ] >= 0)
val <- pp[[i]][x]
temp <- data[, colnames(ppm)[x], drop = FALSE]
for (j in seq(length(val))) {
if (!is.numeric(temp[, j]) & possibleNumeric(temp[, j])) {
temp[, j] <- asNumeric(temp[, j])
}
nao <- na.omit(temp[, j])
if (any(abs(nao - round(nao)) >= .Machine$double.eps^0.5)) {
if (length(val[[j]]) > 1) {
stopError("Multiple values specified for fuzzy data.")
}
if (val[[j]] == 0) {
temp[, j] <- 1 - temp[, j]
}
}
else {
temp[, j] <- as.numeric(is.element(temp[, j], val[[j]]))
}
}
if (ncol(temp) > 1) {
temp <- apply(temp, 1, min, na.rm = FALSE)
}
tempList[[i]] <- temp
}
res <- as.data.frame(matrix(unlist(tempList), ncol = length(tempList)))
colnames(res) <- rownames(ppm)
if (ncol(res) > 1) {
if (!separate) {
res <- apply(res, 1, max, na.rm = FALSE)
}
}
else {
res <- as.vector(res[, 1])
}
if (negated) res <- 1 - res
return(res)
}
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