Closed AnastasiosB closed 5 years ago
Hi Anastasios,
This feature can be toggled with the argument fixup=FALSE
if you don't want it. But it may be prefereable for you to use the fixup=TRUE
version: *1
is the Jan 1 population count, whereas *2
is the Dec 31 population count. This way years can be stored as integer. This is how population counts are used when calculating HMD exposures, for example, so it is in many instances preferable. The default HMD way of storing this information is for many less user friendly, see FAQ2 and FAQ4. So, in year transitions that include universe adjustments (territorial changes), Year
is stored as character, with "+"
and "-"
suffixes.
Best,
Tim
Hi Tim,
thank you very much for your detailed explanation
Best, Anastasios
Dear Tim,
I tried to download the 1x1 Population size from HMD, using
pop=readHMDweb("USA",username=user,item="Population", password=pass)%>%tbl_df()
Instead of six columns (Year, Age, OpenInterval, Female, Male, Total) in the data frame I had nine.Apparently, the extra columns include the population size in 1934.
The same problem until 2016, where you have the data for 2016 and 2017.
Best, Anastasios