Replace non-ASCII characters with legal characters that won't cause problems when writing to a REDCap project.
redcap_column_sanitize(
d,
column_names = colnames(d),
encoding_initial = "latin1",
substitution_character = "?"
)A data frame with same columns, but whose character values have been sanitized.
The base::data.frame() or tibble::tibble() containing the dataset
used to update the REDCap project. Required.
An array of character values indicating the names of
the variables to sanitize. Optional.
An array of character values indicating the names
of the variables to sanitize. Optional.
The character value that replaces characters
that were unable to be appropriately matched.
Will Beasley
Letters like an accented 'A' are replaced with a plain 'A'.
This is a thin wrapper around base::iconv().
The ASCII//TRANSLIT option does the actual transliteration work. As of
R 3.1.0, the OSes use similar, but different, versions to convert the
characters. Be aware of this in case you notice OS-dependent differences.
# Typical examples are not shown because they require non-ASCII encoding,
# which makes the package documentation less portable.
dirty <- data.frame(
id = 1:3,
names = c("Ekstr\xf8m", "J\xf6reskog", "bi\xdfchen Z\xfcrcher")
)
REDCapR::redcap_column_sanitize(dirty)
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