Hi EKE, Your problem may be that the date strings are being read as a factor. Try using stringsAsFactors=FALSE when you read the data in. Another way is to convert your dates to strings when passing to as.Date:
as.Date(as.character(mydf$Date),"%m/%d/%Y") Jim On Sun, Jun 5, 2016 at 10:53 PM, Ek Esawi <esaw...@gmail.com> wrote: > Hi All-- > > > > I am relatively new to R. I am reading a csv file via read.table (MyFile). > The data types in the file are date, string, integer, and time. I was able > to read all the data and manipulated correctly except time, e.g., 12:30. I > used as.Date to convert date and string and integer were easily done. I > could not figure out how to convert the time data correctly. I tried chron > but w/o success and I read that POSIXlt and POSIXct work only for date and > time (e.g. 01/02/1999, 12:30:20). I did not try the lubridate package. Is > there a way to read time data without date attached to it like mine? > > > > I am grateful for any help and thanks in advance—EKE > > > > Here is an example of my data when read into R via read.table > > > > AA Date Name T1 T2 > N1 > > 1 312171 7/1/1995 OF 13:37 1:43 123 > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.