I'm attempting to pull some a certain from a variable that looks like this:
v1 <- c("Persons Name <personsemail#email.com>","person 2 <person2#email.com>")
(this variable has hundreds of observations)
I want to eventually make a second variable that pulls their email to give this output:
v2 <- c("personsemail#email.com", "person2#email.com")
How would I do this? Is there a certain package I can use? Or do I need to make a function incorporating grep and substr?
Those look like what R might call a "person". There is an as.person() function that can split out the email address. For example
v1 <- c("Persons Name <personsemail#email.com>","person 2 <person2#email.com>")
unlist(as.person(v1)$email)
# [1] "personsemail#email.com" "person2#email.com"
For more information, see the ?person help page.
One option with str_extract from stringr
library(stringr)
str_extract(v1, "(?<=\\<)[^>]+")
#[1] "personsemail#email.com" "person2#email.com"
You can look for the pattern "anything**, then <, then (anything), then >, then anything" and replace that pattern with the part between the parentheses, indicated by \1 (and an extra \ to escape).
sub('.*<(.*)>.*', '\\1', v1)
# [1] "personsemail#email.com" "person2#email.com"
** "anything" actually means anything but line breaks
You can look for a pattern that looks like email using regexpr. If a match is found, extract the relevant part using substring. The starting position and match length is provided by the regexpr
inds = regexpr(pattern = "<(.*#.*\\..*)>", v1)
ifelse(inds > 1,
substring(v1, inds + 1, inds + attr(inds, "match.length") - 2),
NA)
#[1] "personsemail#email.com" "person2#email.com"
Related
I want to extract strings using rm_between function from the library(qdapRegex)
I need to extract the string between the second "|" and the word "_HUMAN".
I cant figure out how to select the second "|" and not the first.
example <- c("sp|B5ME19|EIFCL_HUMAN", "sp|Q99613|EIF3C_HUMAN")
prots <- rm_between(example, '|', 'HUMAN', extract=TRUE)
Thank you!!
Another alternative using regmatches, regexpr and using perl=TRUE to make use of \K
^(?:[^|]*\|){2}\K[^|_]+(?=_HUMAN)
Regex demo
For example
regmatches(example, regexpr("^(?:[^|]*\\|){2}\\K[^|_]+(?=_HUMAN)", example, perl=TRUE))
Output
[1] "EIFCL" "EIF3C"
In your rm_between(example, '|', 'HUMAN', extract=TRUE) command, the | is used to match the leftmost | and HUMAN is used to match the left most HUMAN right after.
Note the default value for the FIXED argument is TRUE, so | and HUMAN are treated as literal chars.
You need to make the pattern a regex pattern, by setting fixed=FALSE. However, the ^(?:[^|]*\|){2} as the left argument regex will not work because the qdap package creates an ICU regex with lookarounds (since you use extract=TRUE that sets include.markers to FALSE), which is (?<=^(?:[^|]*\|){2}).*?(?=HUMAN).
As a workaround, you could use a constrained-width lookbehind, by replacing * with a limiting quantifier with a reasonably large max parameter. Say, if you do not expect more than a 1000 chars between each pipe, you may use {0,1000}:
rm_between(example, '^(?:[^|]{0,1000}\\|){2}', '_HUMAN', extract=TRUE, fixed=FALSE)
# => [[1]]
# [1] "EIFCL"
#
# [[2]]
# [1] "EIF3C"
However, you really should think of using simpler approaches, like those described in other answers. Here is another variation with sub:
sub("^(?:[^|]*\\|){2}(.*?)_HUMAN.*", "\\1", example)
# => [1] "EIFCL" "EIF3C"
Details
^ - startof strig
(?:[^|]*\\|){2} - two occurrences of any 0 or more non-pipe chars followed with a pipe char (so, matching up to and including the second |)
(.*?) - Group 1: any 0 or more chars, as few as possible
_HUMAN.* - _HUMAN and the rest of the string.
\1 keeps only Group 1 value in the result.
A stringr variation:
stringr::str_match(example, "^(?:[^|]*\\|){2}(.*?)_HUMAN")[,2]
# => [1] "EIFCL" "EIF3C"
With str_match, the captures can be accessed easily, we do it with [,2] to get Group 1 value.
this is not exactly what you asked for, but you can achieve the result with base R:
sub("^.*\\|([^\\|]+)_HUMAN.*$", "\\1", example)
This solution is an application of regular expression.
"^.*\\|([^\\|]+)_HUMAN.*$" matches the entire character string.
\\1 matches whatever was matched inside the first parenthesis.
Using regular gsub:
example <- c("sp|B5ME19|EIFCL_HUMAN", "sp|Q99613|EIF3C_HUMAN")
gsub(".*?\\|.*?\\|(.*?)_HUMAN", "\\1", example)
#> [1] "EIFCL" "EIF3C"
The part (.*?) is replaced by itself as the replacement contains the back-reference \\1.
If you absolutely prefer qdapRegex you can try:
rm_between(example, '.{0,100}\\|.{0,100}\\|', '_HUMAN', fixed = FALSE, extract = TRUE)
The reason why we have to use .{0,100} instead of .*? is that the underlying stringi needs a mamixmum length for the look-behind pattern (i.e. the left argument in rm_between).
Just saying that you could easily just use sapply()/strsplit():
example <- c("sp|B5ME19|EIFCL_HUMAN", "sp|Q99613|EIF3C_HUMAN")
unlist(sapply(strsplit(example, "|", fixed = T),
function(item) strsplit(item[3], "_HUMAN", fixed = T)))
# [1] "EIFCL" "EIF3C"
It just splits on | in the first list and on _HUMAN on every third element within that list.
I'd like to extract everything after "-" in vector of strings in R.
For example in :
test = c("Pierre-Pomme","Jean-Poire","Michel-Fraise")
I'd like to get
c("Pomme","Poire","Fraise")
Thanks !
With str_extract. \\b is a zero-length token that matches a word-boundary. This includes any non-word characters:
library(stringr)
str_extract(test, '\\b\\w+$')
# [1] "Pomme" "Poire" "Fraise"
We can also use a back reference with sub. \\1 refers to string matched by the first capture group (.+), which is any character one or more times following a - at the end:
sub('.+-(.+)', '\\1', test)
# [1] "Pomme" "Poire" "Fraise"
This also works with str_replace if that is already loaded:
library(stringr)
str_replace(test, '.+-(.+)', '\\1')
# [1] "Pomme" "Poire" "Fraise"
Third option would be using strsplit and extract the second word from each element of the list (similar to word from #akrun's answer):
sapply(strsplit(test, '-'), `[`, 2)
# [1] "Pomme" "Poire" "Fraise"
stringr also has str_split variant to this:
str_split(test, '-', simplify = TRUE)[,2]
# [1] "Pomme" "Poire" "Fraise"
We can use sub to match characters (.*) until the - and in the replacement specify ""
sub(".*-", "", test)
Or another option is word
library(stringr)
word(test, 2, sep="-")
I think the other answers might be what you're looking for, but if you don't want to lose the original context you can try something like this:
library(tidyverse)
tibble(test) %>%
separate(test, c("first", "last"), remove = F)
This will return a dataframe containing the original strings plus components, which might be more useful down the road:
# A tibble: 3 x 3
test first last
<chr> <chr> <chr>
1 Pierre-Pomme Pierre Pomme
2 Jean-Poire Jean Poire
3 Michel-Fraise Michel Fraise
For some reason the responses here didn't work for my particular string. I found this response more helpful (i.e., using Stringr's lookbehind function): stringr str_extract capture group capturing everything.
I have a table with a string column formatted like this
abcdWorkstart.csv
abcdWorkcomplete.csv
And I would like to extract the last word in that filename. So I think the beginning pattern would be the word "Work" and ending pattern would be ".csv". I wrote something using grepl but not working.
grepl("Work{*}.csv", data$filename)
Basically I want to extract whatever between Work and .csv
desired outcome:
start
complete
I think you need sub or gsub (substitute/extract) instead of grepl (find if match exists). Note that when not found, it will return the entire string unmodified:
fn <- c('abcdWorkstart.csv', 'abcdWorkcomplete.csv', 'abcdNothing.csv')
out <- sub(".*Work(.*)\\.csv$", "\\1", fn)
out
# [1] "start" "complete" "abcdNothing.csv"
You can work around this by filtering out the unchanged ones:
out[ out != fn ]
# [1] "start" "complete"
Or marking them invalid with NA (or something else):
out[ out == fn ] <- NA
out
# [1] "start" "complete" NA
With str_extract from stringr. This uses positive lookarounds to match any character one or more times (.+) between "Work" and ".csv":
x <- c("abcdWorkstart.csv", "abcdWorkcomplete.csv")
library(stringr)
str_extract(x, "(?<=Work).+(?=\\.csv)")
# [1] "start" "complete"
Just as an alternative way, remove everything you don't want.
x <- c("abcdWorkstart.csv", "abcdWorkcomplete.csv")
gsub("^.*Work|\\.csv$", "", x)
#[1] "start" "complete"
please note:
I have to use gsub. Because I first remove ^.*Work then \\.csv$.
For [\\s\\S] or \\d\\D ... (does not work with [g]?sub)
https://regex101.com/r/wFgkgG/1
Works with akruns approach:
regmatches(v1, regexpr("(?<=Work)[\\s\\S]+(?=[.]csv)", v1, perl = T))
str1<-
'12
.2
12'
gsub("[^.]","m",str1,perl=T)
gsub(".","m",str1,perl=T)
gsub(".","m",str1,perl=F)
. matches also \n when using the R engine.
Here is an option using regmatches/regexpr from base R. Using a regex lookaround to match all characters that are not a . after the string 'Work', extract with regmatches
regmatches(v1, regexpr("(?<=Work)[^.]+(?=[.]csv)", v1, perl = TRUE))
#[1] "start" "complete"
data
v1 <- c('abcdWorkstart.csv', 'abcdWorkcomplete.csv', 'abcdNothing.csv')
I have a dataframe df with some urls. There are subcategories within the slashes in the URLs I want to extract with stringr and str_extract
My data looks like
Text URL
Hello www.facebook.com/group1/bla/exy/1234
Test www.facebook.com/group2/fssas/eda/1234
Text www.facebook.com/group-sdja/sdsds/adeds/23234
Texter www.facebook.com/blablabla/sdksds/sdsad
I now want to extract everything after .com/ and the next /
I tried suburlpattern <- "^.com//{1,20}//$"
and df$categories <- str_extract(df$URL, suburlpattern)
But I only end up with NA in df$categories
Any idea what I am doing wrong here? Is it my regex code?
Any help is highly appreciated! Many thanks beforehand.
If you want to use str_extract, you need a regex that will get the value you need into the whole match, and you will need a (?<=[.]com/) lookbehind:
(?<=[.]com/)[^/]+
See the regex demo.
Details:
(?<=[.]com/) - the current location must be preceded with .com/ substring
[^/]+ - matches 1 or more characters other than /.
R demo:
> URL = c("www.facebook.com/group1/bla/exy/1234", "www.facebook.com/group2/fssas/eda/1234","www.facebook.com/group-sdja/sdsds/adeds/23234", "www.facebook.com/blablabla/sdksds/sdsad")
> df <- data.frame(URL)
> library(stringr)
> res <- str_extract(df$URL, "(?<=[.]com/)[^/]+")
> res
[1] "group1" "group2" "group-sdja" "blablabla"
this will return everything between the first set of forward slashes
library(stringr)
str_match("www.facebook.com/blablabla/sdksds/sdsad", "^[^/]+/(.+?)/")[2]
[1] "blablabla"
This works
library(stringr)
data <- c("www.facebook.com/group1/bla/exy/1234",
"www.facebook.com/group2/fssas/eda/1234",
"www.facebook.com/group-sdja/sdsds/adeds/23234",
"www.facebook.com/blablabla/sdksds/sdsad")
suburlpattern <- "/(.*?)/"
categories <- str_extract(data, suburlpattern)
str_sub(categories, start = 2, end = -2)
Results:
[1] "group1" "group2" "group-sdja" "blablabla"
Will only get you what's between the first and second slashes... but that seems to be what you want.
I have the next vector of strings
[1] "/players/playerpage.htm?ilkidn=BRYANPHI01"
[2] "/players/playerpage.htm?ilkidhh=WILLIROB027"
[3] "/players/playerpage.htm?ilkid=THOMPWIL01"
I am looking for a way to retrieve the part of the string that is placed after the equal sign meaning I would like to get a vector like this
[1] "BRYANPHI01"
[2] "WILLIROB027"
[3] "THOMPWIL01"
I tried using substr but for it to work I have to know exactly where the equal sign is placed in the string and where the part i want to retrieve ends
We can use sub to match the zero or more characters that are not a = ([^=]*) followed by a = and replace it with ''.
sub("[^=]*=", "", str1)
#[1] "BRYANPHI01" "WILLIROB027" "THOMPWIL01"
data
str1 <- c("/players/playerpage.htm?ilkidn=BRYANPHI01",
"/players/playerpage.htm?ilkidhh=WILLIROB027",
"/players/playerpage.htm?ilkid=THOMPWIL01")
Using stringr,
library(stringr)
word(str1, 2, sep = '=')
#[1] "BRYANPHI01" "WILLIROB027" "THOMPWIL01"
Using strsplit,
strsplit(str1, "=")[[1]][2]
# [1] "BRYANPHI01"
With Sotos comment to get results as vector:
sapply(str1, function(x){
strsplit(x, "=")[[1]][2]
})
Another solution based on regex, but extracting instead of substituting, which may be more efficient.
I use the stringi package which provides a more powerful regex engine than base R (in particular, supporting look-behind).
str1 <- c("/players/playerpage.htm?ilkidn=BRYANPHI01",
"/players/playerpage.htm?ilkidhh=WILLIROB027",
"/players/playerpage.htm?ilkid=THOMPWIL01")
stri_extract_all_regex(str1, pattern="(?<==).+$", simplify=T)
(?<==) is a look-behind: regex will match only if preceded by an equal sign, but the equal sign will not be part of the match.
.+$ matches everything until the end. You could replace the dot with a more precise symbol if you are confident about the format of what you match. For example, '\w' matches any alphanumeric character, so you could use "(?<==)\\w+$" (the \ must be escaped so you end up with \\w).