The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
qdapRegex
is a collection of regular expression tools associated with the
qdap package that may be useful outside of the context
of discourse analysis. Tools include removal/extraction/replacement of
abbreviations, dates, dollar amounts, email addresses, hash tags,
numbers, percentages, citations, person tags, phone numbers, times, and
zip codes. Functions that remove/replace are prefixed with
rm_. Each of these functions has an extraction counterpart
prefixed with ex_.
The qdapRegex package does not aim to compete with string manipulation packages such as stringr or stringi but is meant to provide access to canned, common regular expression patterns that can be used within qdapRegex, with R’s own regular expression functions, or add on string manipulation packages such as stringr and stringi.
The functions in qdapRegex work on a dictionary
system. The current implementation defaults to a United States flavor of
canned regular expressions. Users may submit proposed region specific
regular expression dictionaries that contain the same fields as the regex_usa
data set or improvements to regular expressions in current dictionaries.
Please submit proposed regional regular expression dictionaries via:
https://github.com/trinker/qdapRegex/issues
The qdapRegex package serves a dual purpose of being
both functional and educational. While the canned regular expressions
are useful in and of themselves they also serve as a platform for
understanding regular expressions in the context of meaningful,
purposeful usage. In the same way I learned guitar while trying to mimic
Eric Clapton, not by learning scales and theory, some folks may enjoy an
approach of learning regular expressions in a more pragmatic,
experiential interaction. Users are encouraged to look at the regular
expressions being used (?regex_usa
and ?regex_supplement
are the default regular expression dictionaries used by
qdapRegex) and unpack how they work. I have found slow
repeated exposures to information in a purposeful context results in
acquired knowledge.
The following regular expressions sites were very helpful to my own regular expression education:
Being able to discuss and ask questions is also important to learning…in this case regular expressions. I have found the following forums extremely helpful to learning about regular expressions:
To download the development version of qdapRegex:
Download the zip ball
or tar
ball, decompress and run R CMD INSTALL on it, or use
the pacman package to install the development
version:
if (!require("pacman")) install.packages("pacman")
pacman::p_load_gh("trinker/qdapRegex")You are welcome to: * submit suggestions and bug-reports at: https://github.com/trinker/qdapRegex/issues * send a pull request on: https://github.com/trinker/qdapRegex/ * compose a friendly e-mail to: tyler.rinker@gmail.com
The following examples demonstrate some of the functionality of qdapRegex.
library(qdapRegex)w <- c("Hello World (V. Raptor, 1986) bye (Foo, 2012, pp. 1-2)",
"Narcissism is not dead (Rinker, 2014)",
"The R Core Team (2014) has many members.",
paste("Bunn (2005) said, \"As for elegance, R is refined, tasteful, and",
"beautiful. When I grow up, I want to marry R.\""),
"It is wrong to blame ANY tool for our own shortcomings (Baer, 2005).",
"Wickham's (in press) Tidy Data should be out soon.",
"Rinker's (n.d.) dissertation not so much.",
"I always consult xkcd comics for guidance (Foo, 2012; Bar, 2014).",
"Uwe Ligges (2007) says, \"RAM is cheap and thinking hurts\"",
"Silly (Bar, 2014) stuff is what Bar (2014, 2012) said."
)
ex_citation(w)## [[1]]
## [1] "V. Raptor, 1986" "Foo, 2012"
##
## [[2]]
## [1] "Rinker, 2014"
##
## [[3]]
## [1] "The R Core Team (2014)"
##
## [[4]]
## [1] "Bunn (2005)"
##
## [[5]]
## [1] "Baer, 2005"
##
## [[6]]
## [1] "Wickham's (in press)"
##
## [[7]]
## [1] "Rinker's (n.d.)"
##
## [[8]]
## [1] "Foo, 2012" "Bar, 2014"
##
## [[9]]
## [1] "Uwe Ligges (2007)"
##
## [[10]]
## [1] "Bar, 2014" "Bar (2014, 2012)"as_count(ex_citation(w))## Author Year n
## 7 Bar 2014 3
## 6 Foo 2012 2
## 2 Baer 2005 1
## 5 Bar 2012 1
## 3 Bunn 2005 1
## 8 Rinker 2014 1
## 11 Rinker n.d. 1
## 9 The R Core Team 2014 1
## 4 Uwe Ligges 2007 1
## 1 V. Raptor 1986 1
## 10 Wickham in press 1x <- c("@hadley I like #rstats for #ggplot2 work.",
"Difference between #magrittr and #pipeR, both implement pipeline operators for #rstats:
http://renkun.me/r/2014/07/26/difference-between-magrittr-and-pipeR.html @timelyportfolio",
"Slides from great talk: @ramnath_vaidya: Interactive slides from Interactive Visualization
presentation #user2014. http://ramnathv.github.io/user2014-rcharts/#1"
)
ex_hash(x)## [[1]]
## [1] "#rstats" "#ggplot2"
##
## [[2]]
## [1] "#magrittr" "#pipeR" "#rstats"
##
## [[3]]
## [1] "#user2014"ex_tag(x)## [[1]]
## [1] "@hadley"
##
## [[2]]
## [1] "@timelyportfolio"
##
## [[3]]
## [1] "@ramnath_vaidya"ex_url(x)## [[1]]
## [1] NA
##
## [[2]]
## [1] "http://renkun.me/r/2014/07/26/difference-between-magrittr-and-pipeR.html"
##
## [[3]]
## [1] "http://ramnathv.github.io/user2014-rcharts/#1"y <- c("I love chicken [unintelligible]!",
"Me too! (laughter) It's so good.[interrupting]",
"Yep it's awesome {reading}.", "Agreed. {is so much fun}")
ex_bracket(y)## [[1]]
## [1] "unintelligible"
##
## [[2]]
## [1] "laughter" "interrupting"
##
## [[3]]
## [1] "reading"
##
## [[4]]
## [1] "is so much fun"ex_curly(y)## [[1]]
## [1] NA
##
## [[2]]
## [1] NA
##
## [[3]]
## [1] "reading"
##
## [[4]]
## [1] "is so much fun"ex_round(y)## [[1]]
## [1] NA
##
## [[2]]
## [1] "laughter"
##
## [[3]]
## [1] NA
##
## [[4]]
## [1] NAex_square(y)## [[1]]
## [1] "unintelligible"
##
## [[2]]
## [1] "interrupting"
##
## [[3]]
## [1] NA
##
## [[4]]
## [1] NAz <- c("-2 is an integer. -4.3 and 3.33 are not.",
"123,456 is a lot more than -.2",
"hello world -.q")
rm_number(z)## [1] "is an integer. and are not." "is a lot more than"
## [3] "hello world -.q"ex_number(z)## [[1]]
## [1] "-2" "-4.3" "3.33"
##
## [[2]]
## [1] "123,456" "-.2"
##
## [[3]]
## [1] NAas_numeric(ex_number(z))## [[1]]
## [1] -2.00 -4.30 3.33
##
## [[2]]
## [1] 123456.0 -0.2
##
## [[3]]
## [1] NAx <- c(
"I'm getting 3:04 AM just fine, but...",
"for 10:47 AM I'm getting 0:47 AM instead.",
"no time here",
"Some time has 12:04 with no AM/PM after it",
"Some time has 12:04 a.m. or the form 1:22 pm"
)
ex_time(x)## [[1]]
## [1] "3:04"
##
## [[2]]
## [1] "10:47" "0:47"
##
## [[3]]
## [1] NA
##
## [[4]]
## [1] "12:04"
##
## [[5]]
## [1] "12:04" "1:22"as_time(ex_time(x))## [[1]]
## [1] "00:03:04.0"
##
## [[2]]
## [1] "00:10:47.0" "00:00:47.0"
##
## [[3]]
## [1] NA
##
## [[4]]
## [1] "00:12:04.0"
##
## [[5]]
## [1] "00:12:04.0" "00:01:22.0"as_time(ex_time(x), as.POSIXlt = TRUE)## [[1]]
## [1] "2017-11-27 00:03:04 EST"
##
## [[2]]
## [1] "2017-11-27 00:10:47 EST" "2017-11-27 00:00:47 EST"
##
## [[3]]
## [1] NA
##
## [[4]]
## [1] "2017-11-27 00:12:04 EST"
##
## [[5]]
## [1] "2017-11-27 00:12:04 EST" "2017-11-27 00:01:22 EST"x <- c(
"I like 56 dogs!",
"It's seventy-two feet from the px290.",
NA,
"What",
"that1is2a3way4to5go6.",
"What do you*% want? For real%; I think you'll see.",
"Oh some <html>code</html> to remove"
)
rm_non_words(x)## [1] "I like dogs"
## [2] "It's seventy two feet from the px"
## [3] NA
## [4] "What"
## [5] "that is a way to go"
## [6] "What do you want For real I think you'll see"
## [7] "Oh some html code html to remove"rm_nchar_words(rm_non_words(x), "1,2")## [1] "like dogs"
## [2] "It's seventy two feet from the"
## [3] NA
## [4] "What"
## [5] "that way"
## [6] "What you want For real think you'll see"
## [7] "some html code html remove"These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.