Dear all,
I have still problem with date.
Could you please tel me how to use POSIXct.
Indeed I have found this command:
timeAverage, but I am not able to convert MyDate to properly date.
Thank a lot
I hope to no bother you, at least too much
Diego
On 31 July 2018 at 11:12, Diego Avesani <diego.aves...@gmail.com> wrote:
> 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]]
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