Dear Jim, Dear all,
thanks a lot.
Unfortunately, I get the following error:
st1_daily<-by(MyData$st1,MyData$date,mean)Error in
tapply(seq_len(0L), list(`MyData$date` = c(913L, 914L, 925L, :
arguments must have same length
This is particularly strange. indeed, if I apply
mean(MyData$str1,na.rm=TRUE)
it works
Sorry, I have to learn a lot.
You are really boosting me
Diego
On 31 July 2018 at 11:02, Jim Lemon <drjimle...@gmail.com> wrote:
> Hi Diego,
> One way you can get daily means is:
>
> st1_daily<-by(MyData$st1,MyData$date,mean)
> st2_daily<-by(MyData$st2,MyData$date,mean)
> st3_daily<-by(MyData$st3,MyData$date,mean)
>
> Jim
>
> On Tue, Jul 31, 2018 at 6:51 PM, Diego Avesani <diego.aves...@gmail.com>
> wrote:
> > Dear all,
> > I have found the error, my fault. Sorry.
> > There was an extra come in the headers line.
> > Thanks again.
> >
> > If I can I would like to ask you another questions about the imported
> data.
> > I would like to compute the daily average of the different date.
> Basically I
> > have hourly data, I would like to ave the daily mean of them.
> >
> > Is there some special commands?
> >
> > Thanks a lot.
> >
> >
> > Diego
> >
> >
> > On 31 July 2018 at 10:40, Diego Avesani <diego.aves...@gmail.com> wrote:
> >>
> >> Dear all,
> >> I move to csv file because originally the date where in csv file.
> >> In addition, due to the fact that, as you told me, read.csv is a special
> >> case of read.table, I prefer start to learn from the simplest one.
> >> After that, I will try also the *.txt format.
> >>
> >> with read.csv, something strange happened:
> >>
> >> This us now the file:
> >>
> >> date,st1,st2,st3,
> >> 10/1/1998 0:00,0.6,0,0
> >> 10/1/1998 1:00,0.2,0.2,0.2
> >> 10/1/1998 2:00,0.6,0.2,0.4
> >> 10/1/1998 3:00,0,0,0.6
> >> 10/1/1998 4:00,0,0,0
> >> 10/1/1998 5:00,0,0,0
> >> 10/1/1998 6:00,0,0,0
> >> 10/1/1998 7:00,0.2,0,0
> >> 10/1/1998 8:00,0.6,0.2,0
> >> 10/1/1998 9:00,0.2,0.4,0.4
> >> 10/1/1998 10:00,0,0.4,0.2
> >>
> >> When I apply:
> >> MyData <- read.csv(file="obs_prec.csv",header=TRUE, sep=",")
> >>
> >> this is the results:
> >>
> >> 10/1/1998 0:00 0.6 0.00 0.0 NA
> >> 2 10/1/1998 1:00 0.2 0.20 0.2 NA
> >> 3 10/1/1998 2:00 0.6 0.20 0.4 NA
> >> 4 10/1/1998 3:00 0.0 0.00 0.6 NA
> >> 5 10/1/1998 4:00 0.0 0.00 0.0 NA
> >> 6 10/1/1998 5:00 0.0 0.00 0.0 NA
> >> 7 10/1/1998 6:00 0.0 0.00 0.0 NA
> >> 8 10/1/1998 7:00 0.2 0.00 0.0 NA
> >>
> >> I do not understand why.
> >> Something wrong with date?
> >>
> >> really really thanks,
> >> I appreciate a lot all your helps.
> >>
> >> Diedro
> >>
> >>
> >> Diego
> >>
> >>
> >> On 31 July 2018 at 01:25, MacQueen, Don <macque...@llnl.gov> wrote:
> >>>
> >>> Or, without removing the first line
> >>> dadf <- read.table("xxx.txt", stringsAsFactors=FALSE, skip=1)
> >>>
> >>> Another alternative,
> >>> dadf$datetime <- as.POSIXct(paste(dadf$V1,dadf$V2))
> >>> since the dates appear to be in the default format.
> >>> (I generally prefer to work with datetimes in POSIXct class rather than
> >>> POSIXlt class)
> >>>
> >>> -Don
> >>>
> >>> --
> >>> Don MacQueen
> >>> Lawrence Livermore National Laboratory
> >>> 7000 East Ave., L-627
> >>> Livermore, CA 94550
> >>> 925-423-1062
> >>> Lab cell 925-724-7509
> >>>
> >>>
> >>>
> >>> On 7/30/18, 4:03 PM, "R-help on behalf of Jim Lemon"
> >>> <r-help-boun...@r-project.org on behalf of drjimle...@gmail.com>
> wrote:
> >>>
> >>> Hi Diego,
> >>> You may have to do some conversion as you have three fields in the
> >>> first line using the default space separator and five fields in
> >>> subsequent lines. If the first line doesn't contain any important
> >>> data
> >>> you can just delete it or replace it with a meaningful header line
> >>> with five fields and save the file under another name.
> >>>
> >>> It looks as thought you have date-time as two fields. If so, you
> can
> >>> just read the first field if you only want the date:
> >>>
> >>> # assume you have removed the first line
> >>> dadf<-read.table("xxx.txt",stringsAsFactors=FALSE
> >>> dadf$date<-as.Date(dadf$V1,format="%Y-%m-%d")
> >>>
> >>> If you want the date/time:
> >>>
> >>> dadf$datetime<-strptime(paste(dadf$V1,dadf$V2),format="%Y-%m-%d
> >>> %H:%M:%S")
> >>>
> >>> Jim
> >>>
> >>> On Tue, Jul 31, 2018 at 12:29 AM, 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.
> >>>
> >>> ______________________________________________
> >>> 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.
> >>>
> >>>
> >>
> >
>
[[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.
