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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.
`verify` <-
function(data) {
if (is.data.frame(data)) {
if (is.null(colnames(data))) {
stopError("The dataset doesn't have any columns names.")
}
checkNumUncal <- lapply(data, function(x) {
is_a_factor <- is.factor(x)
is_a_declared <- inherits(x, "declared")
x <- setdiff(x, c("-", "dc", "?"))
is_possible_numeric <- admisc::possibleNumeric(x)
uncal <- mvuncal <- FALSE
if (is_possible_numeric & !is_a_declared) {
y <- na.omit(admisc::asNumeric(x))
if (any(y > 1) & any(abs(y - round(y)) >= .Machine$double.eps^0.5)) {
uncal <- TRUE
}
if (length(seq(0, max(y))) > 20) {
mvuncal <- TRUE
}
}
return(c(is_possible_numeric, uncal, mvuncal, is_a_factor, is_a_declared))
})
checknumeric <- sapply(checkNumUncal, "[[", 1)
checkuncal <- sapply(checkNumUncal, "[[", 2)
checkmvuncal <- sapply(checkNumUncal, "[[", 3)
checkfactor <- sapply(checkNumUncal, "[[", 4)
checkdeclared <- sapply(checkNumUncal, "[[", 5)
if (!all(checknumeric | checkfactor | checkdeclared)) {
notnumeric <- colnames(data)[!checknumeric]
errmessage <- paste("The causal condition",
ifelse(length(notnumeric) == 1, " ", "s "),
paste(notnumeric, collapse=", "),
ifelse(length(notnumeric) == 1, " is ", " are "),
"not numeric.", sep="")
stopError(paste(strwrap(errmessage, exdent = 7), collapse = "\n", sep = ""))
}
if (any(checkuncal)) {
uncalibrated <- colnames(data)[checkuncal]
errmessage <- paste("Uncalibrated data.\n",
"Fuzzy sets should have values bound to the interval [0 , 1] and all other sets should be crisp.\n",
"Please check the following condition", ifelse(length(uncalibrated) == 1, "", "s"), ":\n",
paste(uncalibrated, collapse = ", "), sep="")
stopError(paste(strwrap(errmessage, exdent = 7), collapse = "\n", sep = ""))
}
if (any(checkmvuncal)) {
uncalibrated <- colnames(data)[checkmvuncal]
errmessage <- paste("Possibly uncalibrated data.\n",
"Multivalue conditions with more than 20 levels are unlikely to be (properly) calibrated.\n",
"Please check the following condition", ifelse(length(uncalibrated) == 1, "", "s"), ":\n",
paste(uncalibrated, collapse = ", "), sep="")
stopError(paste(strwrap(errmessage, exdent = 7), collapse = "\n", sep = ""))
}
}
else if (is.vector(data)) {
if (!possibleNumeric(data)) {
stopError("Non numeric input.")
}
}
}
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