Note that century is just the first two digits of year. Not the actual century
Code | country | century | decade | year | height.cm | year_decade | height.in |
---|---|---|---|---|---|---|---|
56 | Belgium | 18 | 1 | 0 | 163.1 | 1810 | 64.21260 |
280 | Federal Republic of Germany (until 1990) | 18 | 1 | 0 | 167.8 | 1810 | 66.06299 |
250 | France | 18 | 1 | 0 | 163.9 | 1810 | 64.52756 |
276 | Germany | 18 | 1 | 0 | 167.8 | 1810 | 66.06299 |
528 | Netherlands | 18 | 1 | 0 | 166.0 | 1810 | 65.35433 |
246 | Finland | 18 | 1 | 0 | 171.9 | 1810 | 67.67717 |
# these should be the only four columns that you keep from each dataset.
select(birth_year, height.in, height.cm, study)
#
# then use the follwing to combine your five individual measures into one dataset.
alld <- bind_rows(b19, g18, g19, us20, w20)