similar to: Stringr Package

Hello! I have a column in my data frame that I have to split: I have to distill the numbers from the text. Below is my example and my solution. x<-data.frame(x=c("aaa1_bbb1_ccc3","aaa2_bbb3_ccc2","aaa3_bbb2_ccc1")) x library(stringr) out<-as.data.frame(str_split_fixed(x$x,"aaa",2)) out2<-as.data.frame(str_split_fixed(out$V2,"_bbb",2))

Hi All, I am wondering if there is any examples where you can count your interested "word" in each row. For an example if you have data with *'ID*' and '*write-up*' for 100 rows, how would I calculate the word frequency for each row ? Thank you for all your time. [[alternative HTML version deleted]]

Hi, I have been using R for a few months and I have this working code. Don't seen any problem but this takes a long time. So if I have about 30000 rows it takes a few minutes. If I have 100000 it does not seem to complete. Original Data: Proto Recv-Q Send-Q Local-Address Foreign-Address State tcp 0 0 172.20.100.2:60255

Hello again: Here is a solution to the dates without leading zeros: pou1 <- function(x) { #Note: x is a data frame #Assume that Column 1 has the date #Column 2 has station #Column 3 has min #Column 4 has max library(stringr) w <- character(length=nrow(x)) z <- str_split(x[,1],"/") for(i in 1:nrow(x)) { u <-

I am trying to learn how to run the unit tests in the stringr package and have the following questions. 1) The r-cran-stringr package does not suggest/depend on the r-cran-testthat package . Would it make sense to add such a thing since after all the tests in /usr/lib/R/site-library/stringr/tests rely on testthat package? 2) I am getting the following error when trying to run the unit tests %

Emilio Ahora cuando quiero instalar los paquetes pdftools, magick y otros más me salen el siguiente error WARNING: Rtools is required to build R packages but is not currently installed. Please download and install the appropriate version of Rtools before proceeding: https://cran.rstudio.com/bin/windows/Rtools/ Installing package into ?C:/Users/bdominguez/Documents/R/win-library/3.6? (as ?lib?

Buenas tarde a todo en s: Tenia la versión de R 3.6 y utilizaba la paquetería de pdftools para extraer información de archivos en pdf actualice la versión 3.6.1 y ya no reconoce la paquetería alguien que me pueda ayudar. Prácticamente no reconoce las funciones de pdftools library(pdftools) library(stringr)? library(NLP)? library(tm)? library(tesseract)? library(magick)?

Hola a todos. Soy un poco torpe manejando cadenas de texto, así que os pido ayuda. Tengo un vector de texto de este tipo datos$tipo [1] m.1.p.Álava m.1.p.Albacete [3] m.2.p.Alicante m.1.p.Almería [5] m.3.p.Asturias m.1.p.Ávila [7] m.1.p.Badajoz m.1.p.Baleares (Illes) [9] m.1.p.Barcelona m.1.p.Burgos [11] m.1.p.Cáceres m.1.p.Cádiz Y quiero extraer el

Hi, May be this helps: vec<- "this is a nice text with nice characters" library(stringr) ?vec2<-unlist(str_match_all(vec,"\\w+")) #or # vec2<-str_split(vec," ")[[1]] res<-unique(lapply(vec2,function(x) which(!is.na(match(vec2,x))))) ?names(res)<- unique(vec2) res #$this #[1] 1 # #$is #[1] 2 # #$a #[1] 3 # #$nice #[1] 4 7 # #$text #[1] 5 # #$with #[1]

On 09/28/2017 10:25 PM, Dan Abner wrote: > Hi all, > > I have a large number of text strings to search for enumerated items. > However, I am receiving this error message even though I thought that I > properly escaped the special character closed parenthesis: > > >> Count<-str_count(text3,keywords) > Error in stri_count_regex(string, pattern, opts_regex =

Hola, Vaya desastre al mandar la cabecera de la base de datos. Al enviarlo, se veía bien, pero está visto que por el camino la cosa se torció. Siguiendo el consejo de Javier, he subido un pequeño fragmento al DropBox. He quitado algunas especies para no hacerlo muy largo. Espero que ésta vez no haya problemas. https://www.dropbox.com/s/q7zla50oq7owg8k/CPUE.csv?dl=0 Un saludo y gracias Juan

Dear Raju I agree to Dirk that this is not really the best place for these matters, but as I got curious, I checked and found you should use test_package() and not test_dir(), as the latter does not load unexported functions of the package (such as check_string()) that may occur in the tests. For packaging of r-cran-stringr, it is probably most efficient to file a bug report there because of

Dear R forum I have a data.frame df = data.frame(currency_type = c("EURO_o_n", "EURO_o_n", "EURO_1w", "EURO_1w", "USD_o_n", "USD_o_n", "USD_1w", "USD_1w"), rates = c(0.47, 0.475, 0.461, 0.464, 1.21, 1.19, 1.41, 1.43))   currency_type     rates 1      EURO_o_n   0.470 2      EURO_o_n   0.475 3       EURO_1w   0.461

Strings are not glamorous, high-profile components of R, but they do play a big role in many data cleaning and preparations tasks. R provides a solid set of string operations, but because they have grown organically over time, they can be inconsistent and a little hard to learn. Additionally, they lag behind the string operations in other programming languages, so that some things that are easy to

Strings are not glamorous, high-profile components of R, but they do play a big role in many data cleaning and preparations tasks. R provides a solid set of string operations, but because they have grown organically over time, they can be inconsistent and a little hard to learn. Additionally, they lag behind the string operations in other programming languages, so that some things that are easy to

# stringr Strings are not glamorous, high-profile components of R, but they do play a big role in many data cleaning and preparations tasks. R provides a solid set of string operations, but because they have grown organically over time, they can be inconsistent and a little hard to learn. Additionally, they lag behind the string operations in other programming languages, so that some things that

# stringr Strings are not glamorous, high-profile components of R, but they do play a big role in many data cleaning and preparations tasks. R provides a solid set of string operations, but because they have grown organically over time, they can be inconsistent and a little hard to learn. Additionally, they lag behind the string operations in other programming languages, so that some things that

# stringr Strings are not glamorous, high-profile components of R, but they do play a big role in many data cleaning and preparations tasks. R provides a solid set of string operations, but because they have grown organically over time, they can be inconsistent and a little hard to learn. Additionally, they lag behind the string operations in other programming languages, so that some things that

# stringr Strings are not glamorous, high-profile components of R, but they do play a big role in many data cleaning and preparations tasks. R provides a solid set of string operations, but because they have grown organically over time, they can be inconsistent and a little hard to learn. Additionally, they lag behind the string operations in other programming languages, so that some things that

Numbers -- thanks. Another clever trick. On 5/25/2018 11:54 AM, Greg Minshall wrote: > Evan, > > are you really looking at numbers, or just at character strings (that, > in your case, happen to be numbers)? if just characters, this rather > odd combination of strsplit() and Reduce() might do the trick: > ---- >> x <- '10110111' >> print(x) > [1]