scan vs. readLines

http://www.ats.ucla.edu/stat/r/modules/raw_data.htm
http://www.clemson.edu/economics/faculty/wilson/R-tutorial/data.html

scan()   같은 type 일때나 같은 type으로 읽기=>what으로 type설정
라인별 separator 설정가능(sep=” “), 파일을 읽는 가장 빠른 방법
readLines()   헤더에 숫자와 문자 섞여 있는 경우 유용

scan(file="", what=double(), sep="", n=-1, nmax=-1,
     encoding="unknown", skipNul=FALSE,
     quote=if(identical(sep, "
")) "" else "'\"", dec = ".",
     skip=0, nlines=0, na.strings="NA",
     flush=F, fill=F, strip.white=F, quiet=F, blank.lines.skip=T, multi.line=T,
     comment.char="", allowEscapes=F, fileEncoding="", text)

readLines(con=stdin(), n=-1L, 
          encoding="unknown", skipNul=F,ok=T, warn=T)

• 데이터 문자일 경우, 꼭 what=”character”지정
• n=읽어들일 데이터 최대갯수, nlines=읽어들일 라인의 갯수, skip=지정한 갯수만큼 라인 건너뜀

URL <- "https://www.stat.uiowa.edu/~luke/data/river.dat"
river <- scan(URL)
river <- readLines(URL)
riverData <- data.table(index=seq_along(river), data=river)

myData="
abc
123 6
y

"
write(myData,"raw.txt")

scan()을 사용해 행단위로 읽기
matrix( , byrow=) 행렬의 원소를 행단위로, 파일내 행렬

> rowVec <- scan("raw.txt", what="character")
Read 4 items
# [1] "abc" "123" "6"   "y"  

> rowVec %>% matrix(nrow=2)
     [,1]  [,2]
[1,] "abc" "6" 
[2,] "123" "y"

ex)

https://stackoverflow.com/questions/29803117/in-r-how-to-read-file-with-custom-end-of-line-eol

11,Walking,1787072368000,-2.56,8.58,1.879608;
11,Walking,1867172313000,4.4,4.4,
11,Walking,1867222270000,5.48,8.43,9.724928;
13,Downstairs,3498582255000,0.72,10.12,3.173541;
13,Downstairs,3498732310000,5.13,10.42,4.671779;15,Jogging,328982249000,5.37,-3.36,7.3141265;
15,Jogging,329032176000,-1.42,2.26,-5.6252036;
19,Sitting,131583611665000,9.04,-0.46,2.53;
19,Sitting,131583691469000,8.85,-0.46,2.41;

myText="
11,Walking,1787072368000,-2.56,8.58,1.879608;
11,Walking,1867172313000,4.4,4.4,
11,Walking,1867222270000,5.48,8.43,9.724928;
13,Downstairs,3498582255000,0.72,10.12,3.173541;
13,Downstairs,3498732310000,5.13,10.42,4.671779;15,Jogging,328982249000,5.37,-3.36,7.3141265;
15,Jogging,329032176000,-1.42,2.26,-5.6252036;
19,Sitting,131583611665000,9.04,-0.46,2.53;
19,Sitting,131583691469000,8.85,-0.46,2.41;


"
write(myText,"raw.txt")

rowVec <- scan("raw.txt", what=character(), sep=";")    
#rowVec <- rowVec[rowVec!=""]

rowList <- sapply(rowVec, strsplit, ",") 

dd <- do.call(rbind, rowList) %>% data.table()

rowVec <- scan("raw.txt", what=character(), sep=";")

rowList <- lapply(rowVec, function(x){
   rlt <- strsplit(x, ",") %>% unlist()
   if (length(rlt)==6) return(rlt)
})

dd <- do.call(rbind, rowList) %>% data.table()