Cleans a vector of text, typically containing the names of an object.Source:
Resulting strings are unique and consist only of the
character, numbers, and letters. By default, the resulting strings will only
consist of ASCII characters, but non-ASCII (e.g. Unicode) may be allowed by
ascii = FALSE. Capitalization preferences can be specified
For use on the names of a data.frame, e.g., in a
call the convenience function
ascii = TRUE (the default), accented characters are transliterated
to ASCII. For example, an "o" with a German umlaut over it becomes "o", and
the Spanish character "enye" becomes "n".
The order of operations is: make replacements, (optional) ASCII conversion,
remove initial spaces and punctuation, apply
snakecase::to_any_case, and add numeric suffixes
to resolve any duplicated names.
This function relies on
snakecase::to_any_case and can take advantage of
its versatility. For instance, an abbreviation like "ID" can have its
capitalization preserved by passing the argument
abbreviations = "ID".
See the documentation for
for more about how to use its features.
On some systems, not all transliterators to ASCII are available. If this is
the case on your system, all available transliterators will be used, and a
warning will be issued once per session indicating that results may be
different when run on a different system. That warning can be disabled with
If the objective of your call to
make_clean_names() is only to translate to
ASCII, try the following instead:
make_clean_names( string, case = "snake", replace = c(`'` = "", `"` = "", `%` = "_percent_", `#` = "_number_"), ascii = TRUE, use_make_names = TRUE, allow_dupes = FALSE, sep_in = "\\.", transliterations = "Latin-ASCII", parsing_option = 1, numerals = "asis", ... )
A character vector of names to clean.
The desired target case (default is
"snake") will be passed to
snakecase::to_any_case()with the exception of "old_janitor", which exists only to support legacy code (it preserves the behavior of
clean_names()prior to addition of the "case" argument (janitor versions <= 0.3.1). "old_janitor" is not intended for new code. See
snakecase::to_any_case()for a wide variety of supported cases, including "sentence" and "title" case.
A named character vector where the name is replaced by the value.
Convert the names to ASCII (
TRUE, default) or not (
Allow duplicates in the returned names (
TRUE) or not (
FALSE, the default).
(short for separator input) if character, is interpreted as a regular expression (wrapped internally into
stringr::regex()). The default value is a regular expression that matches any sequence of non-alphanumeric values. All matches will be replaced by underscores (additionally to
" ", for which this is always true, even if
NULLis supplied). These underscores are used internally to split the strings into substrings and specify the word boundaries.
A character vector (if not
NULL). The entries of this argument need to be elements of
stringi::stri_trans_list()(like "Latin-ASCII", which is often useful) or names of lookup tables (currently only "german" is supported). In the order of the entries the letters of the input string will be transliterated via
stringi::stri_trans_general()or replaced via the matches of the lookup table. When named character elements are supplied as part of `transliterations`, anything that matches the names is replaced by the corresponding value. You should use this feature with care in case of
case = "parsed",
case = "internal_parsing"and
case = "none", since for upper case letters, which have transliterations/replacements of length 2, the second letter will be transliterated to lowercase, for example Oe, Ae, Ss, which might not always be what is intended. In this case you can make usage of the option to supply named elements and specify the transliterations yourself.
An integer that will determine the parsing_option.
"RRRStudio" -> "RRR_Studio"
"RRRStudio" -> "RRRS_tudio"
"RRRStudio" -> "RRRSStudio". This will become for example
"Rrrstudio"when we convert to lower camel case.
-1, -2, -3: These
parsing_options's will suppress the conversion after non-alphanumeric values.
0: no parsing
A character specifying the alignment of numerals (
numerals = "left"ensures that no output separator is in front of a digit.
Arguments passed on to
character. (Case insensitive) matched abbreviations are surrounded by underscores. In this way, they can get recognized by the parser. This is useful when e.g.
parsing_option1 is needed for the use case, but some abbreviations but some substrings would require
parsing_option2. Furthermore, this argument also specifies the formatting of abbreviations in the output for the cases title, mixed, lower and upper camel. E.g. for upper camel the first letter is always in upper case, but when the abbreviation is supplied in upper case, this will also be visible in the output.
Use this feature with care: One letter abbreviations and abbreviations next to each other are hard to read and also not easy to parse for further processing.
(short for separator output) String that will be used as separator. The defaults are
"", regarding the specified
length(sep_out) > 1, the last element of
sep_outgets recycled and separators are incorporated per string according to their order.
A string. If not
NULL, then duplicated names will get a suffix integer in the order of their appearance. The suffix is separated by the supplied string to this argument.
A string. If it is supplied, then each entry that matches "" will be replaced by the supplied string to this argument.
# cleaning the names of a vector: x <- structure(1:3, names = c("name with space", "TwoWords", "total $ (2009)")) x #> name with space TwoWords total $ (2009) #> 1 2 3 names(x) <- make_clean_names(names(x)) x # now has cleaned names #> name_with_space two_words total_2009 #> 1 2 3 # if you prefer camelCase variable names: make_clean_names(names(x), "small_camel") #>  "nameWithSpace" "twoWords" "total2009" # similar to janitor::clean_names(poorly_named_df): # not run: # make_clean_names(names(poorly_named_df))