1) No. 2) The read.csv function is a s special case use of the more general read.table function that can handle any simple field separator.
3) Read the data in as character (I recommend using the stringsAsFactors=FALSE argument to read.table) and convert to an appropriate type from that form. e.g. [1] [1] https://www.r-bloggers.com/using-dates-and-times-in-r/ On July 30, 2018 7:29:05 AM PDT, Diego Avesani <diego.aves...@gmail.com> wrote: >Dear all, > >I am dealing with the reading of a *.txt file. >The txt file the following shape: > >103001930 103001580 103001530 >1998-10-01 00:00:00 0.6 0 0 >1998-10-01 01:00:00 0.2 0.2 0.2 >1998-10-01 02:00:00 0.6 0.2 0.4 >1998-10-01 03:00:00 0 0 0.6 >1998-10-01 04:00:00 0 0 0 >1998-10-01 05:00:00 0 0 0 >1998-10-01 06:00:00 0 0 0 >1998-10-01 07:00:00 0.2 0 0 > >If it is possible I have a coupe of questions, which will sound stupid >but >they are important to me in order to understand ho R deal with file or >date. > >1) Do I have to convert it to a *csv file? >2) Can a deal with space and not "," >3) How can I read date? > >thanks a lot to all of you, >Thanks > > >Diego > > [[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. -- Sent from my phone. Please excuse my brevity. ______________________________________________ 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.
