Assuming your csv file looks like:
Date,Time,Open,High,Low,Close
1/2/2005,17:05,1.3546,1.3553,1.3546,1.35495
1/2/2005,17:10,1.3553,1.3556,1.3549,1.35525
1/2/2005,17:15,1.3556,1.3556,1.35515,1.3553
1/2/2005,17:25,1.355,1.3556,1.355,1.3555
You could do something like:
aa <- read.csv("tmp.csv",header=TRUE,stringsAsFactors=FALSE)
aa$DateTime <- as.POSIXct(paste(aa$Date,aa$Time),format = "%d/%m/%Y %H:%M")
This gives you a column of POSIXct dates which might be useful for
your comparison. It leaves the Time column as text, so you should be
able to compare strings like in the code you presented, or you can
extract whatever you want from the dates using as.POSIXlt and
extracting the component:
names(as.POSIXlt(aa$DateTime[1]))
Robert
On Sun, Jan 16, 2011 at 2:20 PM, rnick <nikos.rachma...@gmail.com> wrote:
>
> Hi all,
> I have run into a problem and some help would be highly appreciated.
> I have a .csv with the following columns:
> Date Time Open High Low Close
> 1/2/2005 17:05 1.3546 1.3553 1.3546 1.35495
> 1/2/2005 17:10 1.3553 1.3556 1.3549 1.35525
> 1/2/2005 17:15 1.3556 1.35565 1.35515 1.3553
> 1/2/2005 17:25 1.355 1.3556 1.355 1.3555
> ….
> …..
> 2/13/2006 5:20 1.18895 1.18925 1.18835 1.1885
>
> 1) Without using zoo, xts or any other time series object, I am trying to
> run this code but fails to pass the argument to the function
>
> #n is the length of the series
>
> for (t in seq(from=10,to=n,by=1))
> {
> while (time[t]=='02:00:00')
> {
> entrytrade(t)
> }
> }
> Is this possible to do? If yes, any ideas what I am doing wrong?
>
> 2) I have also tried with xts by creating the object like this
> lines<-data.frame(date,time,open,high,low,close)
> z <- read.zoo(lines, header = TRUE, index = list(1, 2), FUN = function(d,t)
> as.POSIXct(paste(date,time), format = "%m/%d/%Y %H:%M"))
> x<-as.xts(z)
>
> However, I am unable to call just the time and run the above for loop. any
> ideas here?
>
> Thanks
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/Time-and-xts-tp3219722p3219722.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
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