when I use r to read the txt files,I set the read.table sep para as sep="\001" or sep="\\001" both not worked.
V1
1 886153044351\0010981623127\001\00113036806119\00113036806119
2 132693697611\0010\00118380389386\00113795105928\00113795105928
3 886134400554\0010981623127\001\00115033907649\00115033907649
4 550075776697\00115955516598\00115955516598\00113969121085\001
5 886156798054\0010918770552\001\00115977055775\00115977055775
6 132642200735\00118015668803\00118015668803\00118655109444\00118655109444
above is I use read table default into R. I use split function,but it also did not work for sep like above.
In notepad++,I replace \0001 with comma",",so I can read the data into R like a data frame.
If the data is big,and I cannot use notepad++ to replace the nul character,how can I do it?
Try using the read.delim
function instead :
read.delim(
text = "V1
1 886153044351\0010981623127\001\00113036806119\00113036806119
2 132693697611\0010\00118380389386\00113795105928\00113795105928
3 886134400554\0010981623127\001\00115033907649\00115033907649
4 550075776697\00115955516598\00115955516598\00113969121085\001
5 886156798054\0010918770552\001\00115977055775\00115977055775
6 132642200735\00118015668803\00118015668803\00118655109444\00118655109444",
sep = "\001", header = FALSE )
V1 V2 V3 V4 V5
1 V1 NA NA NA NA
2 1 886153044351 981623127 NA 13036806119 13036806119
3 2 132693697611 0 18380389386 13795105928 13795105928
4 3 886134400554 981623127 NA 15033907649 15033907649
5 4 550075776697 15955516598 15955516598 13969121085 NA
6 5 886156798054 918770552 NA 15977055775 15977055775
7 6 132642200735 18015668803 18015668803 18655109444 18655109444