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naijR

An R package on Nigeria and for Nigeria

The goal of naijR is to make it easier for R users to work with data related to Nigeria.

Usage

Some simple operations

Maps

One of the useful aspects of this package is enabling users to plot country and sub-national geo-spatial maps. Currently, only vector-type graphics are supported. To find out more, read the vignette–accessible from within R as follows:

vignette('nigeria-maps', 'naijR')

Administrative Regions

States

To create a list of all the States of the Nigerian Federation, simply call states().

library(naijR, quietly = TRUE)
ss <- states()
head(ss)
Abia
Adamawa
Akwa Ibom
Anambra
Bauchi
Bayelsa
cat(sprintf("\n...but Nigeria has %i States.", length(ss)))

...but Nigeria has 37 States.

States from a given geo-political zone can also be selected:

states(gpz = "ne")  # i.e. North-East
Adamawa
Bauchi
Borno
Gombe
Taraba
Yobe

For other capabilities of this function, see ?states().

Local Government Areas

This is a basic example that shows how to very quickly fetch the names of Local Government Areas within a given State:

lgas("Imo")
Aboh Mbaise
Ahiazu Mbaise
Ehime Mbano
Ihitte/Uboma
Ideato North
Ideato South
Ezinihitte-Mbaise
Isu
Oguta
Obowo
Nwangele
Njaba
Ngor Okpala
Mbaitoli
Nkwerre
Orsu
Orlu
Onuimo
Okigwe
Ohaji/Egbema
Oru East
Isiala Mbano
Ikeduru
Owerri Municipal
Owerri West
Owerri North
Oru West

To list all the LGAs in Nigeria, call the same function without any parameters:

n <- length(lgas())
sprintf("Nigeria has a total of %i Local Government Areas", n)
[1] "Nigeria has a total of 774 Local Government Areas"

Want to create a function to check how many LGAs a particular State has?

how_many_lgas <- function(state) {
  n <- length(lgas(state))
  cat(state, "State has", n, "LGAs\n")
}

how_many_lgas("Sokoto")
Sokoto State has 23 LGAs

Working with phone numbers

It is common to come across datasets where phone numbers are wrongly entered or misinterpreted by software like MS Excel. The function fix_mobile() helps with this.

fix_mobile("8032000000")
[1] "08032000000"

The function works on vectors; thus an entire column of a table with phone numbers can be quickly processed. Illegible or irreparable numbers are turned into missing values, e.g.

(dat <- data.frame(
  serialno = 1:8,
  phone = c(
    "123456789",
    "0123456789",
    "8000000001",
    "9012345678",
    "07098765432",
    "08123456789",
    "09064321987",
    "O8055577889"
  )
))
  serialno       phone
1        1   123456789
2        2  0123456789
3        3  8000000001
4        4  9012345678
5        5 07098765432
6        6 08123456789
7        7 09064321987
8        8 O8055577889

fix_mobile(dat$phone)
[1] NA            NA            "08000000001" "09012345678" "07098765432"
[6] "08123456789" "09064321987" "08055577889"

Installation

To download and install the current stable version of this package from CRAN:

install.packages("naijR")

The development version can be obtained from GitHub with:

# install.packages("pak")  # if necessary
pak::pkg_install("ropensci/naijR")

Please note that this package is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.