rm_dollar | R Documentation |
Remove/replace/extract dollars amounts from a string.
rm_dollar(
text.var,
trim = !extract,
clean = TRUE,
pattern = "@rm_dollar",
replacement = "",
extract = FALSE,
dictionary = getOption("regex.library"),
...
)
ex_dollar(
text.var,
trim = !extract,
clean = TRUE,
pattern = "@rm_dollar",
replacement = "",
extract = TRUE,
dictionary = getOption("regex.library"),
...
)
text.var |
The text variable. |
trim |
logical. If |
clean |
trim logical. If |
pattern |
A character string containing a regular expression (or
character string for |
replacement |
Replacement for matched |
extract |
logical. If |
dictionary |
A dictionary of canned regular expressions to search within
if |
... |
Other arguments passed to |
Returns a character string with dollars removed.
gsub
,
stri_extract_all_regex
Other rm_ functions:
rm_abbreviation()
,
rm_between()
,
rm_bracket()
,
rm_caps_phrase()
,
rm_caps()
,
rm_citation_tex()
,
rm_citation()
,
rm_city_state_zip()
,
rm_city_state()
,
rm_date()
,
rm_default()
,
rm_email()
,
rm_emoticon()
,
rm_endmark()
,
rm_hash()
,
rm_nchar_words()
,
rm_non_ascii()
,
rm_non_words()
,
rm_number()
,
rm_percent()
,
rm_phone()
,
rm_postal_code()
,
rm_repeated_characters()
,
rm_repeated_phrases()
,
rm_repeated_words()
,
rm_tag()
,
rm_time()
,
rm_title_name()
,
rm_url()
,
rm_white()
,
rm_zip()
x <- c("There is $5.50 for me.", "that's 45.6% of the pizza",
"14% is $26 or $25.99", "Really?...$123,234.99 is not cheap.")
rm_dollar(x)
ex_dollar(x)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.