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An R script to validate Malaysian National Registration Identity Card numbers
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##################################################################### | |
# A series of functions to manage Malaysian National Registration # | |
# Identity Card Number (NRIC) data. The NRIC was a form # | |
# YYMMDD-PB-XXXG[*], where YYMMDD are six digits representing the # | |
# date of birth/registration, PB is a two digit code representing # | |
# the place of birth XXX is a random digit and G is also a random # | |
# digit, the if G is even the NRIC is for a female and if it is odd # | |
# it is for a male. # | |
#-------------------------------------------------------------------# | |
# The functions: # | |
# is.nric() returns a boolean; T if the string is formatted as an # | |
# NRIC, otherwise F. # | |
# sexFromNRIC() returns the sex associated with the NRIC # | |
# dobFromNRIC() returns the date of birth. # | |
# # | |
# Author: Daniel D Reidpath # | |
# Date: 31 October, 2015 # | |
##################################################################### | |
# | |
dobFromNRIC <- function(nric, as.date=T){ | |
# nric as an appropriately formatted NRIC YYMMDD-PB-XXXG | |
# as.date ensure that the returned values are eighter as.Date or as | |
# strings. | |
# | |
dob <- substr(nric, 1, 6) | |
yr <- as.integer(substr(dob, 1,2)) | |
dob <- sapply(yr, function(century, dobstr){ | |
if(century>=16){ | |
dobstr <- paste("19", substr(dobstr, 1,2), "-", substr(dobstr, 3,4), "-", substr(dobstr, 5,6), sep='') | |
} else { | |
dobstr <- paste("20", substr(dobstr, 1,2), "-", substr(dobstr, 3,4), "-", substr(dobstr, 5,6), sep='') | |
} | |
return(dobstr) | |
}, dob) | |
if(as.date==T){ | |
return( as.Date(as.vector(dob)[1:length(nric)]) ) | |
} | |
if(as.date==F){ | |
return(as.vector(dob)[1:length(nric)]) | |
} | |
else{ | |
stop( "as.date must be a logical") | |
} | |
} | |
is.nric <- function(nric){ | |
# Boolean function checks that nric is formatted correctly | |
nric_format <- "[0-9]{2}[0-9]{1}[012]{1}[0123]{1}[0-9]{1}-[1-9]{2}-[0-9]{4}" | |
grepl(nric_format, nric) | |
} | |
sexFromNRIC <- function(nric){ | |
# nric as an appropriately formatted NRIC YYMMDD-PB-XXXG | |
# returns the gender associated with the NRIC: 1=Female, 2=Male | |
sex <- sapply(nric, function(x){ | |
if(!is.nric(x)){ | |
sex <- NA | |
} else { | |
last_digit <- substr(x, nchar(x), nchar(x)) | |
last_digit <- as.integer( last_digit ) | |
sex <- last_digit %% 2 + 1 # 1=Female, 2=Male | |
return(sex) | |
} | |
return(sex) | |
}) | |
return(sex) | |
} |
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