Operations to Ease Data Analyses Specific to Nigeria.
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
Ezinihitte
Ideato North
Ideato South
Ihitte/Uboma
Ikeduru
Isiala Mbano
Isu
Mbaitoli
Ngor Okpala
Njaba
Nkwerre
Nwangele
Obowo
Oguta
Ohaji/Egbema
Okigwe
Orlu
Orsu
Oru East
Oru West
Owerri Municipal
Owerri North
Owerri West
Unuimo
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("BroVic/naijR")
Feedback/Contribution
Contributions are welcome and pull requests for R code or documentation will be gladly entertained. For bug reports or feature requests, kindly submit an issue.