[R] split character line into rows
arun
smartpink111 at yahoo.com
Mon Dec 17 16:35:00 CET 2012
Hi,
Just to add:
dat1<-read.table(text="
2010.12.26 00:00:52 688,88 11,69 43,00
11,69 43,00
11,69 43,00
11,69 43,00
11,69 43,00
2010.12.26 00:01:52 696,19 11,69 43,00
",sep="",header=FALSE,fill=TRUE,dec=",",stringsAsFactors=FALSE)
dat2<-na.omit(dat1)
dat2$Date<-as.POSIXct(paste(dat2$V1,dat2$V2,sep=" "),format="%Y.%m.%d %H:%M:%S")
dat3<-dat2[,c(6,3:5)]
colnames(dat3)[2:4]<-paste0("V",2:4)
dat3
# Date V2 V3 V4
#1 2010-12-26 00:00:52 688.88 11.69 43
#6 2010-12-26 00:01:52 696.19 11.69 43
A.K.
----- Original Message -----
From: Simonas Kecorius <simolas2008 at gmail.com>
To: r-help at r-project.org
Cc:
Sent: Monday, December 17, 2012 7:04 AM
Subject: [R] split character line into rows
Hey R users,
suppose we have data:
[1] 2010.12.26 00:00:52 688,88 11,69 43,00
[2] 11,69 43,00
[3] 11,69 43,00
[4] 11,69 43,00
[5] 11,69 43,00
[6] 11,69 43,00
[7] 11,69 43,00
[8] 11,69 43,00
[9] 11,69 43,00
[10] 11,69 43,00
[11] 11,69 43,00
[12] 11,69 43,00
[13] 11,69 43,00
[14] 11,69 43,00
[15] 11,69 43,00
[16] 11,69 43,00
[17] 11,69 43,00
[18] 11,69 43,00
[19] 11,69 43,00
[20] 11,69 43,00
[21] 11,69 43,00
[22] 11,69 43,00
[23] 11,69 43,00
[24] 11,69 43,00
[25] 11,69 43,00
[26] 11,69 43,00
[27] 11,69 43,00
[28] 11,69 43,00
[29] 11,69 43,00
[30] 11,69 43,00
[31] 11,69 43,00
[32] 11,69 43,00
[33] 11,69 43,00
[34] 11,69 43,00
[35] 11,69 43,00
[36] 11,69 43,00
[37] 11,69 43,00
[38] 11,69 43,00
[39] 11,69 43,00
[40] 11,69 43,00
[41] 11,69 43,00
[42] 11,69 43,00
[43] 11,69 43,00
[44] 11,69 43,00
[45] 11,69 43,00
[46] 11,69 43,00
[47] 11,69 43,00
[48] 11,69 43,00
[49] 11,69 43,00
[50] 11,69 43,00
[51] 11,69 43,00
[52] 11,69 43,00
[53] 11,69 43,00
[54] 11,69 43,00
[55] 11,69 43,00
[56] 11,69 43,00
[57] 11,69 43,00
[58] 11,69 43,00
[59] 11,69 43,00
[60] 11,69 43,00
[61] 2010.12.26 00:01:52 696,19 11,69 43,00
[62] 11,69 43,00
[63] 11,69 43,00
[64] 11,69 43,00
[65] 11,69 43,00
[66] 11,69 43,00
..................................... etc.
Is there a way to split data into date column, V2, V3 and V4 columns and
erase those lines without date, so that data would look like that:
date V2 V3 V4
2010.12.26 00:01:52 555 11.67 44
2010.12.26 00:02:52 566 11.67 44
etc.
Thanks a lot!
--
Simonas Kecorius
**
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