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#' Verhoeff algorithm implementation
#'
#' The Verhoeff algorithm is appropriate for numerical data and detects all
#' single-digit substitutions (x to y) and adjacent digit transpositions (xy to
#' yx). In addition, the Verhoeff check digit can detect most twin errors (xx to
#' yy), jump twin errors (xyx to zyz), jump transpositions (xyz to zyx), and
#' phonetic errors ("sixty" to "sixteen").
#'
#' @param x character vector of values
#'
#' @references Verhoeff, J. "Error Detecting Decimal Codes", Mathematical Centre
#' Tract 29, The Mathematical Centre, Amsterdam, 1969.
#'
#' @name verhoeff
NULL
#' @rdname verhoeff
AppendCheckDigit.Verhoeff <- function(x) {
x[is.na(x)] <- NA
if (any(grepl("\\D", x))) {
warning("Non-digit characters are disregarded in check digit calculation")
}
d <- matrix(
c(
0, 1, 2, 3, 4, 5, 6, 7, 8, 9,
1, 2, 3, 4, 0, 6, 7, 8, 9, 5,
2, 3, 4, 0, 1, 7, 8, 9, 5, 6,
3, 4, 0, 1, 2, 8, 9, 5, 6, 7,
4, 0, 1, 2, 3, 9, 5, 6, 7, 8,
5, 9, 8, 7, 6, 0, 4, 3, 2, 1,
6, 5, 9, 8, 7, 1, 0, 4, 3, 2,
7, 6, 5, 9, 8, 2, 1, 0, 4, 3,
8, 7, 6, 5, 9, 3, 2, 1, 0, 4,
9, 8, 7, 6, 5, 4, 3, 2, 1, 0
),
ncol = 10,
byrow = TRUE
)
p <- matrix(
c(
0, 1, 2, 3, 4, 5, 6, 7, 8, 9,
1, 5, 7, 6, 2, 8, 3, 0, 9, 4,
5, 8, 0, 3, 7, 9, 6, 1, 4, 2,
8, 9, 1, 6, 0, 4, 3, 5, 2, 7,
9, 4, 5, 3, 1, 2, 6, 8, 7, 0,
4, 2, 8, 6, 5, 7, 3, 9, 0, 1,
2, 7, 9, 3, 8, 0, 6, 4, 1, 5,
7, 0, 4, 6, 9, 1, 3, 2, 5, 8
),
ncol = 10,
byrow = TRUE
)
inv <- matrix(
c(0, 4, 3, 2, 1, 5, 6, 7, 8, 9),
ncol = 10,
byrow = TRUE
)
y <- sapply(x, function(x) {
y <- gsub("\\D", "", x)
if (y %in% c("", NA, NaN)) {
return(x)
} else {
c <- 0
n <- as.integer(rev(unlist(strsplit(y, ""))))
for (i in seq(n)) {
c <- d[c + 1, p[i %% 8 + 1, n[i] + 1] + 1]
}
return(paste(x, inv[c + 1], sep = ""))
}
})
return(y)
}
#' @rdname verhoeff
VerifyCheckDigit.Verhoeff <- function(x) {
x[is.na(x)] <- NA
if (any(grepl("\\D", x))) {
warning("Non-digit characters are disregarded in check digit calculation")
}
d <- matrix(
c(
0, 1, 2, 3, 4, 5, 6, 7, 8, 9,
1, 2, 3, 4, 0, 6, 7, 8, 9, 5,
2, 3, 4, 0, 1, 7, 8, 9, 5, 6,
3, 4, 0, 1, 2, 8, 9, 5, 6, 7,
4, 0, 1, 2, 3, 9, 5, 6, 7, 8,
5, 9, 8, 7, 6, 0, 4, 3, 2, 1,
6, 5, 9, 8, 7, 1, 0, 4, 3, 2,
7, 6, 5, 9, 8, 2, 1, 0, 4, 3,
8, 7, 6, 5, 9, 3, 2, 1, 0, 4,
9, 8, 7, 6, 5, 4, 3, 2, 1, 0
),
ncol = 10,
byrow = TRUE
)
p <- matrix(
c(
0, 1, 2, 3, 4, 5, 6, 7, 8, 9,
1, 5, 7, 6, 2, 8, 3, 0, 9, 4,
5, 8, 0, 3, 7, 9, 6, 1, 4, 2,
8, 9, 1, 6, 0, 4, 3, 5, 2, 7,
9, 4, 5, 3, 1, 2, 6, 8, 7, 0,
4, 2, 8, 6, 5, 7, 3, 9, 0, 1,
2, 7, 9, 3, 8, 0, 6, 4, 1, 5,
7, 0, 4, 6, 9, 1, 3, 2, 5, 8
),
ncol = 10,
byrow = TRUE
)
y <- sapply(x, function(x) {
y <- gsub("\\D", "", x)
if (y %in% c("", NA, NaN)) {
return(FALSE)
} else {
c <- 0
n <- as.integer(rev(unlist(strsplit(y, ""))))
for (i in seq(n)) {
c <- d[c + 1, p[(i - 1) %% 8 + 1, n[i] + 1] + 1]
}
return(c == 0)
}
})
return(y)
}
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