Description Usage Arguments Value Examples
Aggregate by country, country and year, or some other weight.
| 1 2 3 |   aggregate_by_country(df, col.value = "value",
    col.country = "country_id",
    lyrs.dat.csv = layers_data.csv)
 | 
| df | Input data frame. | 
| col.value | Column in data frame containing the value to be aggregated. | 
| col.country | Column in data frame containing the country_id. | 
| col.weight | Column in data frame containing the weight. | 
These functions aggregate to region by either country, country and year, or just a weight. These are mostly only used for aggregating a goal's status or trend calculations to region.
| 1 2 3 4 5 6 | ## Not run: 
    aggregate_by_country(df, col.value='value', col.country='country_id')
    aggregate_by_country_weighted(df, w, col.value='value', col.country='country_id', col.weight='weight')
    aggregate_by_country_year(df, col.value='value', col.country='country_id')
  
## End(Not run)
 | 
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