[R] Convert daily data to weekly data

Miluji Sb m||uj|@b @end|ng |rom gm@||@com
Tue May 29 16:02:37 CEST 2018


Dear Petr,

Thanks for your reply and the solution. The example dataset contains data
for the first six days of the year 1986. "X1986.01.01.10.30.00" is 01
January 1986 and the rest of the variable is redundant information. The
last date is given as "X2016.12.31.10.30.00".

I realized that I missed one information in my previous email, I would like
to compute the weekly average by the variable ID. Thanks again!

Sincerely,

Shouro

On Tue, May 29, 2018 at 3:24 PM, PIKAL Petr <petr.pikal using precheza.cz> wrote:

> Hi
>
> Based on your explanation I would advice to use
>
> ?cut.POSIXt
>
> with breaks "week". However your data are rather strange, you have data
> frame with names which looks like dates
>
> names(test)
> [1] "X1986.01.01.10.30.00" "X1986.01.02.10.30.00" "X1986.01.03.10.30.00"
> [4] "X1986.01.04.10.30.00" "X1986.01.05.10.30.00" "X1986.01.06.10.30.00"
> [7] "ID"
>
> and under each name you have 6 numeric values
> test[,1]
> [1] 16.81818 16.81818 18.82944 16.81818 18.82944 16.83569
>
> You (probably) can get dates by
> as.Date(substring(names(test),2,11), format="%Y.%m.%d")
> [1] "1986-01-01" "1986-01-02" "1986-01-03" "1986-01-04" "1986-01-05"
> [6] "1986-01-06" NA
>
> but if you want just average those 6 values below each date you could do
>
> colMeans(test)
>
> and/or bind it together.
>
> > ddd<-as.Date(substring(names(test),2,11), format="%Y.%m.%d")
> > data.frame(ddd, aver=colMeans(test))
>                             ddd     aver
> X1986.01.01.10.30.00 1986-01-01 17.49152
> X1986.01.02.10.30.00 1986-01-02 16.84200
> X1986.01.03.10.30.00 1986-01-03 16.51526
> X1986.01.04.10.30.00 1986-01-04 16.90191
> X1986.01.05.10.30.00 1986-01-05 16.00480
> X1986.01.06.10.30.00 1986-01-06 16.04405
> ID                         <NA>  3.50000
>
> Cheers
> Petr
>
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> > -----Original Message-----
> > From: R-help [mailto:r-help-bounces using r-project.org] On Behalf Of Miluji
> Sb
> > Sent: Tuesday, May 29, 2018 2:59 PM
> > To: r-help mailing list <r-help using r-project.org>
> > Subject: [R] Convert daily data to weekly data
> >
> > Dear all,
> >
> > I have daily data in wide-format from 01/01/1986 to 31/12/2016 by ID. I
> would
> > like to convert this to weekly average data. The data has been generated
> by an
> > algorithm.
> >
> > I know that I can use the lubridate package but that would require me to
> first
> > convert the data to long-form (which is what I want). I am at a bit of
> loss of
> > how to extract the date from the variable names and then converting the
> data
> > to weekly average. Any help will be high appreciated.
> >
> > ### data
> > structure(list(X1986.01.01.10.30.00 = c(16.8181762695312,
> > 16.8181762695312, 18.8294372558594, 16.8181762695312,
> > 18.8294372558594, 16.835693359375 ), X1986.01.02.10.30.00 =
> > c(16.2272033691406, 16.2272033691406, 18.0772094726562,
> > 16.2272033691406, 18.0772094726562, 16.2159423828125 ),
> > X1986.01.03.10.30.00 = c(15.8944396972656, 15.8944396972656,
> > 17.7444152832031, 15.8944396972656, 17.7444152832031, 15.91943359375
> > ), X1986.01.04.10.30.00 = c(16.2752380371094, 16.2752380371094,
> > 18.125244140625, 16.2752380371094, 18.125244140625, 16.3352355957031
> > ), X1986.01.05.10.30.00 = c(15.3706359863281, 15.3706359863281,
> > 17.2806396484375, 15.3706359863281, 17.2806396484375,
> > 15.3556213378906 ), X1986.01.06.10.30.00 = c(15.3798828125,
> > 15.3798828125, 17.3136291503906, 15.3798828125, 17.3136291503906,
> > 15.4974060058594), ID = 1:6), .Names = c("X1986.01.01.10.30.00",
> > "X1986.01.02.10.30.00", "X1986.01.03.10.30.00", "X1986.01.04.10.30.00",
> > "X1986.01.05.10.30.00", "X1986.01.06.10.30.00", "ID"), row.names = c(NA,
> 6L),
> > class = "data.frame")
> >
> > Sincerely,
> >
> > Milu
> >
> > [[alternative HTML version deleted]]
> >
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