Parse Thorn "þ" delimited log file in r

I am trying to read csv files (originally log files with a changed extension) that are limited in width.

However, simple readLinesor read.delimdo not contain "þ" as a separator, and the default functions result in a single column data.frame

when I try to print a data frame, I get:

temp <- readLines("sample.csv")
temp

[1] "12-31-2014-21:01:11þ0þþ4382037þ8048852þ286809041þ60534606þ1þ0x0þ1594842þ107607879þþ256þMDþ28þ0.0þ22þ13þ14915þ20646þþ1420088471"                     
[2] "12-31-2014-21:01:16þ0þþ4382037þ8048852þ286810825þ60533173þ1þ160x600þ1594842þ107606862þþ256þMDþ28þ0.0þ22þ13þ14915þ20646þþ1420088476"                 
[3] "12-31-2014-21:13:24þ0þþ4382037þ8048852þ286811019þ60532482þ1þ728x90þ1594842þ107607879þþ256þAZþ27þ0.0þ7þ189þ13541þ85747þþ1420089204"                  
[4] "12-31-2014-21:35:04þ2453419343309111450þþ4479850þ8209375þ283421530þ58729626þ1þ1x2þ1685249þ110242400þþ256þCOþ5þ9.0þ22þ171þ14885þ80120þþ1420090504"   
[5] "12-31-2014-21:07:22þ2453942989496582297þþ4382037þ8048852þ284408073þ59306057þ1þ728x90þ1594842þ107607879þþ256þGAþ26þ0.0þ22þ26þ14981þ30093þþ1420088842"

now I tried to parse it with help strsplit(temp,"þ")and got:

[[1]]
[1] "12-31-2014-21:01:11‏0‏‏4382037‏8048852‏286809041‏60534606‏1‏0x0‏1594842‏107607879‏‏256‏MD‏28‏0.0‏22‏13‏14915‏20646‏‏1420088471"

[[2]]
[1] "12-31-2014-21:01:16‏0‏‏4382037‏8048852‏286810825‏60533173‏1‏160x600‏1594842‏107606862‏‏256‏MD‏28‏0.0‏22‏13‏14915‏20646‏‏1420088476"

[[3]]
[1] "12-31-2014-21:13:24‏0‏‏4382037‏8048852‏286811019‏60532482‏1‏728x90‏1594842‏107607879‏‏256‏AZ‏27‏0.0‏7‏189‏13541‏85747‏‏1420089204"

[[4]]
[1] "12-31-2014-21:35:04‏2453419343309111450‏‏4479850‏8209375‏283421530‏58729626‏1‏1x2‏1685249‏110242400‏‏256‏CO‏5‏9.0‏22‏171‏14885‏80120‏‏1420090504"

[[5]]
[1] "12-31-2014-21:07:22‏2453942989496582297‏‏4382037‏8048852‏284408073‏59306057‏1‏728x90‏1594842‏107607879‏‏256‏GA‏26‏0.0‏22‏26‏14981‏30093‏‏1420088842"

alternatively gsub("þ"," ",temp)just returns the source text.

This becomes even “weirder” because if I copy and paste a line from the console and run:

temp1 <- "12-31-2014-21:01:11þ0þþ4382037þ8048852þ286809041þ60534606þ1þ0x0þ1594842þ107607879þþ256þMDþ28þ0.0þ22þ13þ14915þ20646þþ1420088471"

and then run strsplit(temp1,split="þ"), I will get:

[[1]]
 [1] "12-31-2014-21:01:11" "0"                   ""                    "4382037"             "8048852"             "286809041"          
 [7] "60534606"            "1"                   "0x0"                 "1594842"             "107607879"           ""                   
 [13] "256"                 "MD"                  "28"                  "0.0"                 "22"                  "13"                 
 [19] "14915"               "20646"               ""                    "1420088471"

My ultimate goal is to get this parsing: a data frame from 22 different columns.

sample.cav :

https://drive.google.com/file/d/0B4Krk6hHv0GoUUp4NkhmT1l2ZDQ/view?usp=sharing

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+4
1

.

-, unicode read.csv, :

read.csv("sample.csv", sep="\xfe", header=FALSE)

read.delim .

readr Hadley read_delim, \r V22 ( X22 read.csv):

library(readr)
read_delim("sample.csv", delim="\xfe", col_names=FALSE)

fread data.table:

library(data.table)
fread("sample.csv", sep="\xfe")

, strsplit rbind.data.frame:

do.call(rbind.data.frame, 
        strsplit(readLines("sample.csv"), "\xfe", useBytes=TRUE, fixed=TRUE))

.

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