#' Legal Enrty
#'
#' Computes whether the test string contains a legal entry (0 = illegal, 1 = legal)
#' @param train a vector of training strings
#' @param test a vector of test strings
#' @return a vector of legal entries values for each test string
#' @export
legalentry <- function(train, test){
#generate vector with length of number of training strings
# to store the first charcter of each test string
g <- matrix(" ", length(train))
#extract the first character from each training string
# and store in vector g
for(i in 1:length(train)){
g[i] <- substring(train[i], 1, 1)
}
#extract unique elements from list of unique characters
g <- unique(g)
#generate results vector with length of number of test strings
# to store binary value describing if the test string
# has a legal entry
r <- matrix(0, length(test))
#for each test string check if any of the first charcters
# from the training strings match the first element of the training string
# if there is a match, place a 1 in the corresponding element of the results vector
for(i in 1:length(test)){
if(any(substring(test[i], 1, 1) == g)){
r[i] <- 1
}
}
rownames(r) <- test
colnames(r) <- "Legal Entry"
return(r)
}
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