A restrictive version of left_join that ensures that all keys in the left dataset have corresponding matches in the right dataset.
If any rows in the left dataset do not have matching keys in the right dataset, the function will throw an error.
Usage
left_join_strict(
left_df,
right_df,
by = NULL,
by_message = by,
mapping = "",
ignore = if (exists("ignore.global")) ignore.global else NULL,
...
)Arguments
- left_df
A data frame. The left dataset in the join.
- right_df
A data frame. The right dataset in the join.
- by
A character vector of variables to join by. If `NULL`, the function will use all common variables.
- by_message
A character vector of variables to join by to output the ERROR message, if necessay. If `NULL`, the function will use the variables defined in the `by` parameter.
- mapping
Optional. Mapping name to be displayed in case of ERROR.
- ignore
Optional. Policy names introduced by the user to ignore during gcamreport processing of physical quantities, since otherwise they will be flagged as names missing from mapping files and cause an error. Note: Currently having one of the specified name patterns in any column of the query results, such as sector, subsector, input, etc. will cause the error to be disregarded. Same behavior than adding the policy names to the corresponding mappings indicating `NoReported`.
- ...
Additional arguments passed to `dplyr::left_join()`.