# The micro-data are accessible only through the National Institute of Statistics and Demography of 
Burkina Faso (website : http://www.insd.bf ; email : insd@insd.bf ; phone contact : +(226) 25498502. 
To do so, I had to send a written and motivated letter to the Director General of the said institute. 
This was done physically but it is also possible to send a request electronically with an explicit 
description of the data sought and the desired variables. However, aggregated data on population size 
and deaths by age groups are provided here (Data_4436.xlsx) in order to promote the replicability of the analyses.

As a result, descriptive analyses based on data by singe year of age such as the age pyramids by single 
age will not be possible unless these pyramids were carried out with the 5-years aggregated data provided 
here in the excel file (classic and non-classic age groups). Therefore, the R program (paperBFAmethod_4436.R) 
that is run on R version 3.6.3 (2020-02-29) can be run from the section of age-ratios analyses until the end.

1/ you can load the data grouped by classic age group from the excel file (Data_4436.xlsx) sheet 1 and call it dfa1
2/ you can also load the data grouped by non-classic age group from the excel file sheet 2 and call it dfa2
3/ For each file, create a group variable group (grp) that takes the value "nc" for non-classic age groups and "c" for the classic
4/ rbind both files and then analyse the age ratios starting from the section about analyses of age-ratios in the R program

#Other files

- You can load the text file to import values of 5q0 gathered from UN-IGME ("q05igme_bfa.txt") for Burkina Faso in order to provide a mean value of 
  5q0 for each intercensal period
- The Other file you will need is the INDEPTH standard file ("indepth_std.txt") to apply the Brass relational model. This standard were extend from 
  age 85 to 110 for any further analysis using a prediction from a generalised additive model (gam from the R package mgcv)