The function creates two files containing projection summaries, such as the median, the lower and upper bound of the 80 and 90% probability intervals, respectively, and the constant variant. One file is in a user-friendly format, whereas the other is in a UN-specific format with internal coding of the time and the variants.
write.e0.projection.summary(dir = file.path(getwd(), "bayesLife.output"),
output.dir = NULL, revision = NULL, adjusted = FALSE)
Directory containing the prediction object. It should correspond to the output.dir argument of the e0.predict function.
Directory in which the resulting file will be stored. If NULL the same directory is used as for the prediction.
UN revision number. If NULL it is determined from the corresponding WPP year: WPP 2008 corresponds to revision 13, every subsequent WPP increases the revision number by one. Used as a constant in the second file only.
Logical. By default the function writes summary using the original BHM projections. If the projection medians are adjusted (using e.g. e0.median.set), setting this argument to TRUE causes writing the adjusted projections.
Hana Sevcikova
The first file that the function creates is called projection_summary_user_friendly.csv, it is a comma-separated table with the following columns:
“country_code”: country code
“variant”: name of the variant, such as “median”, “lower 80”, “upper 80”, “lower 95”, “upper 95”, “constant”
period1: e.g. “2010-2015”: life expectancy for the first time period
period2: e.g. “2015-2020”: life expectancy for the second time period
... further columns with life expectancy projections
The second file, called projection_summary.csv, also comma-separated table, contains the same information as above in a UN-specific format:
“VarID”: variant identifier, extracted from the UN_variants dataset in the bayesTFR package;
“LocID”: country code;
“TimeID”: time identifier, extracted from the UN_time dataset in the bayesTFR package;
“e0”: the life expectancy for this variant, location and time period.
If the simulation directory contains joint male predictions, summary files for those are created as well. In such a case, if output.dir is given, separate subdirectories for female and male are created.
convert.e0.trajectories, e0.predict