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In many studies there are "filled characters" used to represent NA. Currently these have to be converted to NA's in the custom_R_code using `~ na_if(.x, "character").
This function has gotten fussier with dplyr 1.1.0, no longer allowing mass substitutions across a mix of character and numeric columns. It might be better to specify within the metadata.yml file specific characters that are NA's for a given study.
This would be included as another optional field in metadata$dataset, probably appearing right before the custom_R_code.
The text was updated successfully, but these errors were encountered:
In many studies there are "filled characters" used to represent NA. Currently these have to be converted to NA's in the
custom_R_code
using `~ na_if(.x, "character").This function has gotten fussier with dplyr 1.1.0, no longer allowing mass substitutions across a mix of character and numeric columns. It might be better to specify within the
metadata.yml
file specific characters that are NA's for a given study.This would be included as another optional field in metadata$dataset, probably appearing right before the
custom_R_code
.The text was updated successfully, but these errors were encountered: