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valid_different_codes <- all_valid_nuts_codes %>% dplyr::filter_at( vars(tidyselect::all_of(geo_var)), ## should be changed with accross dplyr::all_vars(. %in% different_codes)) %>% ## and replacing . with rlang's .data pronoun mutate ( years = as.numeric(gsub("code_", "" , .data$nuts )) )
The text was updated successfully, but these errors were encountered:
Should be in tune with current dplyr programming practice (#16)
4f898e8
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valid_different_codes <- all_valid_nuts_codes %>%
dplyr::filter_at( vars(tidyselect::all_of(geo_var)), ## should be changed with accross
dplyr::all_vars(. %in% different_codes)) %>% ## and replacing . with rlang's .data pronoun
mutate ( years = as.numeric(gsub("code_", "" , .data$nuts )) )
The text was updated successfully, but these errors were encountered: