Rの交互文字に基づく文字列の分割

質問

のような文字列を分割するための効率的な方法を見つけようとしています。

"111110000011110000111000"

をベクトルに変換

[1] "11111" "00000" "1111" "0000" "111" "000"

ここで、"0" と "1" は任意の交互文字とすることができます。

どのように解決するのですか？

試してみてください。

strsplit(str1, '(?<=1)(?=0)|(?<=0)(?=1)', perl=TRUE)[[1]]
#[1] "11111" "00000" "1111"  "0000"  "111"   "000"  

更新情報

RAWR さんの解決策を修正し stri_extract_all_regex

library(stringi)
stri_extract_all_regex(str1, '(?:(\\w))\\1*')[[1]]
#[1] "11111" "00000" "1111"  "0000"  "111"   "000"  


stri_extract_all_regex(x1, '(?:(\\w))\\1*')[[1]]
#[1] "11111" "00000" "222"   "000"   "3333"  "000"   "1111"  "0000"  "111"  
#[10] "000"  

stri_extract_all_regex(x2, '(?:(\\w))\\1*')[[1]]
#[1] "aaaaa"   "bb"      "ccccccc" "bbb"     "a"       "d"       "11111"  
#[8] "00000"   "222"     "aaa"     "bb"      "cc"      "d"       "11"     
#[15] "D"       "aa"      "BB"     

ベンチマーク

library(stringi) 
set.seed(24)
x3 <- stri_rand_strings(1, 1e4)

akrun <- function() stri_extract_all_regex(x3, '(?:(\\w))\\1*')[[1]]
#modified @thelatemail's function to make it bit more general
thelate <- function() regmatches(x3,gregexpr("(?:(\\w))\\1*", x3, 
            perl=TRUE))[[1]]
rawr <- function() strsplit(x3, '(?<=(\\w))(?!\\1)', perl=TRUE)[[1]]
ananda <- function() unlist(read.fwf(textConnection(x3), 
                rle(strsplit(x3, "")[[1]])$lengths, 
                colClasses = "character"))
Colonel <- function() with(rle(strsplit(x3,'')[[1]]), 
   mapply(function(u,v) paste0(rep(v,u), collapse=''), lengths, values))

Cryo <- function(){
   res_vector=rep(NA_character_,nchar(x3))
  res_vector[1]=substr(x3,1,1)
  counter=1
  old_tmp=''

   for (i in 2:nchar(x3)) {
    tmp=substr(x3,i,i)
    if (tmp==old_tmp) {
    res_vector[counter]=paste0(res_vector[counter],tmp)
    } else {
    res_vector[counter+1]=tmp
    counter=counter+1
    }
  old_tmp=tmp
   }

 res_vector[!is.na(res_vector)]
  }


 richard <- function(){
     cs <- cumsum(
     rle(stri_split_boundaries(x3, type = "character")[[1L]])$lengths
   )
   stri_sub(x3, c(1, head(cs + 1, -1)), cs)
  }

 nicola<-function(x) {
   indices<-c(0,which(diff(as.integer(charToRaw(x)))!=0),nchar(x))
   substring(x,indices[-length(indices)]+1,indices[-1])
 }

 richard2 <- function() {
  cs <- cumsum(rle(strsplit(x3, NULL)[[1L]])[[1L]])
  stri_sub(x3, c(1, head(cs + 1, -1)), cs)
 }

system.time(akrun())
# user  system elapsed 
# 0.003   0.000   0.003 

system.time(thelate())
#   user  system elapsed 
#  0.272   0.001   0.274 

system.time(rawr())
# user  system elapsed 
#  0.397   0.001   0.398 

system.time(ananda())
#  user  system elapsed 
# 3.744   0.204   3.949 

system.time(Colonel())
#   user  system elapsed 
#  0.154   0.001   0.154 

system.time(Cryo())
#  user  system elapsed 
# 0.220   0.005   0.226 

system.time(richard())
#  user  system elapsed 
# 0.007   0.000   0.006 

system.time(nicola(x3))
# user  system elapsed 
# 0.190   0.001   0.191 

少し大きめの文字列で

set.seed(24)
x3 <- stri_rand_strings(1, 1e6)

system.time(akrun())
#user  system elapsed 
#0.166   0.000   0.155 
system.time(richard())
#  user  system elapsed 
# 0.606   0.000   0.569 
system.time(richard2())
#  user  system elapsed 
# 0.518   0.000   0.487 

system.time(Colonel())
#  user  system elapsed 
# 9.631   0.000   9.358 


library(microbenchmark)
 microbenchmark(richard(), richard2(), akrun(), times=20L, unit='relative')
 #Unit: relative
 #     expr      min       lq     mean   median       uq      max neval cld
 # richard() 2.438570 2.633896 2.365686 2.315503 2.368917 2.124581    20   b
 #richard2() 2.389131 2.533301 2.223521 2.143112 2.153633 2.157861    20   b
 # akrun() 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000    20  a 

注意 他の方法を実行しようとしたが、時間がかかる

データ

str1 <- "111110000011110000111000"
x1 <- "1111100000222000333300011110000111000"
x2 <- "aaaaabbcccccccbbbad1111100000222aaabbccd11DaaBB"