clean_spelling currently assumes that the keys are in column 1 and the values are in column 2. Working on the R4EPIs project, I found that it was a bit cumbersome to enforce this because people do not often have their data ordered in this manner.
I would suggest to add two options to clean_spelling() (and, by extension, clean_variable_spelling()) that would indicate the column names or positions of keys and values respectively: from = 1, to = 2
This would allow people to construct their calls like so:
clean_variable_spelling(dat, words,
from = "shortcode",
to = "value",
spelling_vars = "grp",
sort_by = "orders")
clean_spelling currently assumes that the keys are in column 1 and the values are in column 2. Working on the R4EPIs project, I found that it was a bit cumbersome to enforce this because people do not often have their data ordered in this manner.
I would suggest to add two options to
clean_spelling()(and, by extension,clean_variable_spelling()) that would indicate the column names or positions of keys and values respectively:from = 1, to = 2This would allow people to construct their calls like so: