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# Copyright (c) 2016 - 2020, 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.
`pof` <-
function(setms = NULL, outcome = NULL, data = NULL, relation = "necessity",
inf.test = "", incl.cut = c(0.75, 0.5), add = NULL, ...) {
setms <- admisc::recreate(substitute(setms))
outcome <- admisc::recreate(outcome)
funargs <- lapply(lapply(match.call(), deparse)[-1], function(x) gsub("\"|[[:space:]]", "", x))
other.args <- list(...)
funargs$outcome <- paste(funargs$outcome, collapse = "")
if (is.null(setms)) {
cat("\n")
stop(simpleError("The \"setms\" argument is missing.\n\n"))
}
if (!(nec(relation) | suf(relation))) {
cat("\n")
stop(simpleError("The relation should be either \"necessity\" or \"sufficiency\".\n\n"))
}
icp <- 0.75
ica <- 0.5
if (is.character(incl.cut) & length(incl.cut) == 1) {
incl.cut <- admisc::splitstr(incl.cut)
}
icp <- incl.cut[1]
if (length(incl.cut) > 1) {
ica <- incl.cut[2]
}
neg.out <- FALSE
if (is.element("neg.out", names(other.args))) {
neg.out <- other.args$neg.out
}
if (is.element("incl.cut1", names(other.args)) & identical(icp, 0.75)) {
icp <- other.args$incl.cut1
}
if (is.element("incl.cut0", names(other.args)) & identical(ica, 0.5)) {
ica <- other.args$incl.cut0
}
complete <- FALSE
if (is.element("complete", names(other.args))) {
if (is.logical(other.args$complete)) {
complete <- other.args$complete
}
}
if (!is.null(data)) {
if (is.element("data.frame", class(data)) | is.matrix(data)) {
data <- as.data.frame(data)
}
for (i in colnames(data)) {
if (!is.numeric(data[, i])) {
if (admisc::possibleNumeric(data[, i])) {
data[, i] <- admisc::asNumeric(data[, i])
}
}
}
if (is.element("minimize", names(other.args))) {
if (is.element("use.letters", names(other.args))) {
if (other.args$use.letters) {
colnames(data)[seq(1, ncol(data) - 1)] <- LETTERS[seq(1, ncol(data) - 1)]
}
}
}
}
conditions <- outcomename <- ""
condnegated <- outnegated <- FALSE
`extract` <- function(x, snames = "", data = NULL) {
if (grepl("<=>|<->", x)) {
cat("\n")
stop(simpleError("Incorrect expression: relation can be either necessity or sufficiency.\n\n"))
}
multivalue <- grepl("\\{|\\}|\\[|\\]", x)
relation <- ifelse(grepl("=|-", x), ifelse(grepl("=>|->", x), "suf", "nec"), NA)
x <- gsub("<=|=>|<-|->", "@", gsub("[[:space:]]", "", x))
x <- unlist(strsplit(x, split = "@"))
if (grepl("\\+|\\*", x[2])) {
if (grepl("\\+|\\*", x[1])) {
cat("\n")
stop(simpleError("Incorrect output in the right hand side.\n\n"))
}
x <- rev(x)
if (relation == "nec") {
relation <- "suf"
}
else if (relation == "suf") {
relation <- "nec"
}
}
if (identical(snames, "") & !is.null(data)) {
snames <- colnames(data)
}
if (identical(substring(x[1], 1, 2), "1-")) {
x[1] <- negate(gsub("1-", "", x[1]), snames = snames)
}
if (identical(substring(x[2], 1, 2), "1-")) {
x[2] <- negate(gsub("1-", "", x[2]), snames = snames)
}
outmtrx <- NA
if (length(x) > 1) {
outmtrx <- admisc::validateNames(x[2], snames = snames, data = data)
}
if (!is.na(outmtrx) & !is.null(data)) {
data <- data[, -which(is.element(colnames(data), colnames(outmtrx)))]
}
condmtrx <- admisc::validateNames(x[1], snames = snames, data = data)
return(list(condmtrx = condmtrx, outmtrx = outmtrx, expression = x[1],
relation = relation, multivalue = multivalue))
}
checkoutcome <- TRUE
addexpression <- FALSE
if (is.element("character", class(setms))) {
if (missing(data)) {
cat("\n")
stop(simpleError("The data argument is missing, with no default.\n\n"))
}
if (length(setms) > 1) {
cat("\n")
stop(simpleError("Only one expression allowed.\n\n"))
}
toverify <- extract(setms, data = data)
if (!is.na(toverify$relation)) {
relation <- toverify$relation
}
conditions <- colnames(toverify$condmtrx)
if (is.na(toverify$outmtrx)) {
if (missing(outcome)) {
cat("\n")
stop(simpleError("Expression without outcome.\n\n"))
}
temp <- subset(data, select = which(is.element(colnames(data), conditions)))
verify.qca(temp)
setms <- admisc::compute(toverify$expression, data = temp, separate = TRUE)
funargs$setms <- toverify$expression
}
else {
outcomename <- colnames(toverify$outmtrx)[1]
temp <- subset(data, select = which(is.element(colnames(data), c(conditions, outcomename))))
verify.qca(temp)
setms <- admisc::compute(toverify$expression, data = temp, separate = TRUE)
funargs$setms <- paste(paste(unlist(toverify$expression), collapse = "+"),
ifelse(toverify$relation == "suf", "->", "<-"),
rownames(toverify$outmtrx))
outcome <- admisc::compute(rownames(toverify$outmtrx)[1], data = temp)
checkoutcome <- FALSE
}
if (is.vector(setms)) {
setms <- data.frame(setms)
colnames(setms) <- toverify$expression
}
rownames(setms) <- rownames(data)
if (!is.element("minimize", names(other.args)) & ncol(setms) > 1) {
addexpression <- TRUE
}
}
if (is.element("QCA_fuzzy", class(setms))) {
conditions <- "expression"
setms <- data.frame(X = as.vector(setms))
colnames(setms) <- conditions
}
if (checkoutcome) {
if (missing(outcome)) {
cat("\n")
stop(simpleError("Outcome is missing, with no default.\n\n"))
}
if (is.element("character", class(outcome))) {
if (admisc::tilde1st(gsub("1-", "", funargs$outcome))) {
outnegated <- !outnegated
}
if (identical(substr(funargs$outcome, 1, 2), "1-")) {
outnegated <- !outnegated
}
outcome <- admisc::notilde(gsub("1-", "", funargs$outcome))
if (grepl("\\{", outcome)) {
outcomename <- admisc::curlyBrackets(outcome, outside = TRUE)
}
else {
outcomename <- admisc::squareBrackets(outcome, outside = TRUE)
}
if (is.null(data)) {
cat("\n")
stop(simpleError("The data argument is missing, with no default.\n\n"))
}
if (!is.element(outcomename, colnames(data))) {
cat("\n")
stop(simpleError("Outcome not found in the data.\n\n"))
}
verify.qca(data[, which(colnames(data) == outcomename), drop = FALSE])
outcome <- admisc::compute(outcome, data = data)
if (outnegated) {
outcome <- 1 - outcome
}
}
else if (is.vector(outcome)) {
if (admisc::tilde1st(gsub("1-", "", funargs$outcome))) {
outnegated <- !outnegated
}
if (identical(substr(funargs$outcome, 1, 2), "1-")) {
outnegated <- !outnegated
}
outcomename <- admisc::notilde(gsub("1-", "", funargs$outcome))
if (identical(substr(outcomename, 1, 2), "c(")) {
outcomename <- "Y"
}
}
}
if (is.vector(outcome)) {
if (!is.numeric(outcome) & admisc::possibleNumeric(outcome)) {
outcome <- admisc::asNumeric(outcome)
}
verify.qca(outcome)
}
else {
cat("\n")
stop(simpleError("The outcome should be either a column name in a dataset\n or a vector of set membership values.\n\n"))
}
if (identical(substr(funargs$setms, 1, 2), "1-")) {
condnegated <- !condnegated
}
if (is.vector(setms)) {
setms <- data.frame(setms)
conditions <- admisc::notilde(gsub("1-", "", funargs$setms))
if (grepl("[$]", conditions)) {
conditions <- tail(unlist(strsplit(conditions, split = "[$]")), 1)
}
else if (identical(substr(conditions, 1, 2), "c(")) {
conditions <- "X"
}
colnames(setms) <- conditions
}
if (is.element("data.frame", class(setms))) {
for (i in seq(ncol(setms))) {
if (!is.numeric(setms[, i]) & admisc::possibleNumeric(setms[, i])) {
setms[, i] <- admisc::asNumeric(setms[, i])
}
}
verify.qca(setms)
colnames(setms) <- gsub("[[:space:]]", "", colnames(setms))
if (identical(conditions, "")) {
if (any(grepl("[*]", colnames(setms)))) {
conditions <- colnames(extract(paste(colnames(setms), collapse = "+"))$condmtrx)
}
}
if (condnegated) {
if (any(grepl("[*]", conditions))) {
conditions <- colnames(extract(paste(conditions, collapse = "+"))$condmtrx)
}
else if (any(grepl("[+]", conditions))) {
conditions <- unique(unlist(strsplit(conditions, split = "[+]")))
}
if (any(grepl("\\$coms|\\$pims", funargs$setms))) {
toverify <- unlist(strsplit(admisc::notilde(gsub("1-", "", funargs$setms)), split = "\\$"))[1]
if (grepl("pims", funargs$setms)) {
tt <- eval.parent(parse(text = sprintf("%s$tt", toverify)), n = 1)
if (tt$options$use.letters) {
conditions <- LETTERS[seq(length(conditions))]
}
else {
conditions <- tt$options$conditions
}
}
else {
conditions <- eval.parent(parse(text = sprintf("%s$options$conditions", toverify)), n = 1)
}
}
if (identical(conditions, "")) {
colnames(setms) <- paste("~", colnames(setms), sep = "")
}
else {
colnames(setms) <- gsub("[[:space:]]", "", admisc::negate(colnames(setms), snames = conditions))
}
}
}
else {
cat("\n")
stop(simpleError("The \"setms\" argument is not standard.\n\n"))
}
if (any(na.omit(cbind(setms, outcome) > 1))) {
cat("\n")
stop(simpleError("Set membership scores should be numbers between 0 and 1.\n\n"))
}
notmiss <- apply(cbind(setms, outcome), 1, function(x) !any(is.na(x)))
outcome <- outcome[notmiss]
setms <- setms[notmiss, , drop = FALSE]
if (neg.out) {
outcome <- admisc::getLevels(outcome) - outcome - 1
}
result.list <- list()
incl.cov <- .Call("C_pof", as.matrix(cbind(setms, fuzzyor(setms))), outcome, nec(relation), PACKAGE = "QCA")
incl.cov[incl.cov < 0.00001] <- 0
incl.cov <- as.data.frame(incl.cov)
if (nec(relation)) {
colnames(incl.cov) <- c("inclN", "RoN", "covN", "covU")
}
else {
colnames(incl.cov) <- c("inclS", "PRI", "covS", "covU")
}
if (is.character(inf.test) & length(inf.test) == 1) {
inf.test <- admisc::splitstr(inf.test)
}
if (!identical(inf.test, "")) {
if (missing(data)) {
data <- cbind(setms, outcome)
colnames(data) <- c(conditions, outcomename)
}
verify.inf.test(inf.test, data)
}
if (identical(inf.test[1], "binom")) {
statistical.testing <- TRUE
if (length(inf.test) > 1) {
alpha <- as.numeric(inf.test[2])
}
else {
alpha <- 0.05
}
if (nec(relation)) {
nofcases <- rep(sum(outcome), ncol(setms) + 1)
}
else {
nofcases <- c(colSums(setms), sum(fuzzyor(setms)))
}
success <- as.vector(round(nofcases * incl.cov[, which(grepl("incl", colnames(incl.cov)))[1]]))
incl.cov$pval0 <- incl.cov$pval1 <- 0
for (i in seq(length(success))) {
incl.cov[i, "pval1"] <- binom.test(success[i], nofcases[i], p = icp, alternative = "greater")$p.value
incl.cov[i, "pval0"] <- binom.test(success[i], nofcases[i], p = ica, alternative = "greater")$p.value
}
}
result.list$incl.cov <- incl.cov
if (nec(relation)) {
result.list$incl.cov <- result.list$incl.cov[, -4]
}
else {
result.list$incl.cov[nrow(incl.cov), 4] <- NA
}
colnms <- colnames(setms)
if (addexpression) {
colnms <- c(colnms, "expression")
}
else {
result.list$incl.cov <- result.list$incl.cov[-nrow(incl.cov), , drop = FALSE]
if (nrow(result.list$incl.cov) == 1 & suf(relation)) {
result.list$incl.cov[1, 4] <- NA
}
}
rownames(result.list$incl.cov) <- colnms
if (is.element("show.cases", names(other.args))) {
if (other.args$show.cases) {
result.list$incl.cov <- cbind(result.list$incl.cov, cases = other.args$cases, stringsAsFactors = FALSE)
}
}
if (is.element("minimize", names(other.args))) {
result.list$pims <- as.data.frame(setms)
result.list$sol.incl.cov <- incl.cov[nrow(incl.cov), 1:3]
}
if (is.element("solution.list", names(other.args))) {
solution.list <- other.args$solution.list
length.solution <- length(solution.list)
individual <- vector("list", length = length.solution)
for (i in seq(length.solution)) {
individual[[i]] <- list()
temp <- setms[, solution.list[[i]], drop = FALSE]
incl.cov <- .Call("C_pof", as.matrix(cbind(temp, fuzzyor(temp))), outcome, nec(relation), PACKAGE = "QCA")
incl.cov[incl.cov < 0.0001] <- 0
incl.cov <- as.data.frame(incl.cov)
rownames(incl.cov) <- c(colnames(temp), "expression")
if (nec(relation)) {
colnames(incl.cov) <- c("inclN", "RoN", "covN", "covU")
incl.cov <- incl.cov[, -4]
}
else {
colnames(incl.cov) <- c("inclS", "PRI", "covS", "covU")
incl.cov[nrow(incl.cov), 4] <- NA
}
if (nrow(incl.cov) == 2 & suf(relation)) {
incl.cov[1, 4] <- NA
}
individual[[i]]$incl.cov <- incl.cov[-nrow(incl.cov), ]
individual[[i]]$sol.incl.cov <- incl.cov[nrow(incl.cov), 1:3]
individual[[i]]$pims <- as.data.frame(temp)
}
return(structure(list(overall=result.list, individual=individual, essential=other.args$essential, pims=as.data.frame(setms), relation=relation, options=funargs[-1]), class="QCA_pof"))
}
if (!is.null(add)) {
if (!(is.list(add) | is.function(add))) {
cat("\n")
stop(simpleError("The argument \"add\" should be a function or a list of functions.\n\n"))
}
if (is.list(add)) {
if (!all(unlist(lapply(add, is.function)))) {
cat("\n")
stop(simpleError("Components from the list argument \"add\" should be functions.\n\n"))
}
toadd <- matrix(nrow = nrow(incl.cov), ncol = length(add))
if (is.null(names(add))) {
names(add) <- paste0("X", seq(length(add)))
}
if (any(duplicated(substr(names(add), 1, 5)))) {
names(add) <- paste0("X", seq(length(add)))
}
colnames(toadd) <- substr(names(add), 1, 5)
for (i in seq(length(add))) {
coltoadd <- apply(cbind(setms, fuzzyor(setms)), 2, add[[i]], outcome)
if (ncol(setms) == 1) {
coltoadd <- coltoadd[1]
}
toadd[, i] <- coltoadd
}
}
else {
toadd <- matrix(nrow = nrow(incl.cov), ncol = 1)
coltoadd <- apply(cbind(setms, fuzzyor(setms)), 2, add, outcome)
if (ncol(setms) == 1) {
coltoadd <- coltoadd[1]
}
toadd[, 1] <- coltoadd
if (any(grepl("function", funargs$add))) {
funargs$add <- "X"
}
colnames(toadd) <- substr(funargs$add, 1, 5)
}
result.list$incl.cov <- cbind(result.list$incl.cov, toadd)
}
funargs[["setms"]] <- setms
funargs[["outcome"]] <- outcome
funargs$relation <- relation
result.list$options <- funargs
return(structure(result.list, class = "QCA_pof"))
}
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