This R package provides tools to work with swedish identity numbers such as personal identity numbers (personnummer) and organizational identity numbers (organisationsnummer).
Installation (Installation)
Example: personal identity numbers (Personal identity numbers)
Example: organizational identity numbers (Organizational identity number)
Licensing and Citations (Licensing and Citations)
References (References)
Install the stable release version in R:
install.packages("sweidnumbr")
Test the installation by loading the library:
library(sweidnumbr)
We also recommend setting the UTF-8 encoding:
Sys.setlocale(locale="UTF-8")
As a first step we need to convert personal identity numbers (pin) to the sam standard ABS format.
example_pin <- c("640823-3234", "6408233234", "19640883-3230", "20080710-1023")
example_pin <- as.pin(example_pin)
## Assumption:
## pin of format YYMMDDNNNC is assumed to be less than 100 years old.
example_pin
## [1] "196408233234" "196408233234" "196408833230" "200807101023"
## Personal identity number(s)
To change a ‘pin’ follows ordinary R handling of vectors:
example_pin[1] <- "20080710-1023"
example_pin
## [1] "200807101023" "196408233234" "196408833230" "200807101023"
## Personal identity number(s)
The next step is to test if the format is correct. To do this we use the is_pin()
function.
is.pin(example_pin)
## [1] TRUE
This only check the format of the pin. To check the pin using the control number we use pin_ctrl()
.
pin_ctrl(example_pin)
## [1] FALSE TRUE FALSE FALSE
We can now use pin_birthplace()
and pin_sex()
. To get information on sex and birthplace.
pin_sex(example_pin)
## [1] Female Male Male Female
## Levels: Female Male
pin_birthplace(example_pin)
## [1] Born after 31 december 1989 Gotlands län
## [3] <NA> Born after 31 december 1989
## 28 Levels: Stockholm stad Stockholms län Uppsala län ... Born after 31 december 1989
Use pin_coordn()
to check if it is a coordination number.
pin_coordn(example_pin)
## [1] FALSE FALSE TRUE FALSE
As the last step we can calculate the age based on the pin. We choose the date where we want to calculate the age. If date is not specified the current date is used.
pin_age(example_pin)
## The age has been calculated at 2015-06-07.
## [1] 6 50 50 6
pin_age(example_pin, date = "2000-01-01")
## The age has been calculated at 2000-01-01.
## Warning: Negative age(es).
## [1] -9 35 35 -9
Handling of organizational identity numbers is done in a similar fashion. But organizational numbers are only allowed to have one format.
example_oin <- c("556000-4615", "232100-0156", "802002-4280")
example_oin <- as.oin(example_oin)
example_oin
## [1] "556000-4615" "232100-0156" "802002-4280"
## Organizational identity number(s)
example_oin[3] <- "556000-4615"
example_oin
## [1] "556000-4615" "232100-0156" "556000-4615"
## Organizational identity number(s)
We can test if the vector has a correct format in a similar way as for pin
.
is.oin(example_oin)
## [1] TRUE
With a vector of oin
we can check if the control number is correct.
oin_ctrl(example_oin)
## [1] TRUE TRUE TRUE
We can also check the type of organization.
oin_group(example_oin)
## [1] Aktiebolag
## [2] Stat, landsting, kommuner, församlingar
## [3] Aktiebolag
## Levels: Aktiebolag Stat, landsting, kommuner, församlingar
This work can be freely used, modified and distributed under the open license specified in the DESCRIPTION file.
Kindly cite the work as follows
citation("sweidnumbr")
##
## Kindly cite the sweidnumbr R package as follows:
##
## (C) Mans Magnusson(2014). sweidnumbr: R tools to handle of
## swedish identity numbers. URL:
## http://github.com/rOpenGov/sweidnumbr
##
## A BibTeX entry for LaTeX users is
##
## @Misc{,
## title = {sweidnumbr: R tools to handle of swedish identity numbers.},
## author = {Mans Magnusson},
## year = {2014},
## }
This vignette was created with
sessionInfo()
## R version 3.1.2 (2014-10-31)
## Platform: x86_64-apple-darwin13.4.0 (64-bit)
##
## locale:
## [1] sv_SE.UTF-8/sv_SE.UTF-8/sv_SE.UTF-8/C/sv_SE.UTF-8/sv_SE.UTF-8
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] sweidnumbr_0.5.0
##
## loaded via a namespace (and not attached):
## [1] digest_0.6.4 evaluate_0.5.5 formatR_0.10
## [4] htmltools_0.2.6 knitr_1.6 lubridate_1.4.0.9500
## [7] rmarkdown_0.3.10 stringr_0.6.2 tools_3.1.2
## [10] yaml_2.1.13