Here is an example of using dplyr. Please provide a reasonable subset of
data. Your was all for the same date. Use 'dput' to put in your email.
> x <- read.table(text = " X.YY MM DD hh WDI R.WSP D.GST PRES ATMP
DEWP
+ 2015 1 1 0 328 3.6 4.5 1028.0 3.8 -3.5
+ 2015 1 1 1 300 2.1 2.7 1027.9 3.7 -4.4
+ 2015 1 1 2 264 2.4 2.9 1027.7 3.6 -4.5
+ 2015 1 1 3 230 4.1 4.5 1027.4 4.2 -3.8
+ 2015 1 1 4 242 8.1 9.2 1026.6 4.4 -3.1
+ 2015 1 1 5 262 9.3 10.1 1026.6 4.1 -3.8
+ 2015 1 1 6 267 8.6 9.6 1026.3 4.2 -3.8
+ 2015 1 1 7 264 9.3 9.9 1026.1 3.9 -2.8
+ 2015 1 1 8 268 8.2 9.1 1026.1 3.5 -3.0
+ 2015 1 1 9 272 8.8 9.6 1025.4 3.2 -3.3
+ 2015 2 1 0 328 3.6 4.5 1028.0 3.8 -3.5
+ 2015 2 1 1 300 2.1 2.7 1027.9 3.7 -4.4
+ 2015 2 1 2 264 2.4 2.9 1027.7 3.6 -4.5
+ 2015 2 1 3 230 4.1 4.5 1027.4 4.2 -3.8
+ 2015 2 1 4 242 8.1 9.2 1026.6 4.4 -3.1
+ 2015 2 1 5 262 9.3 10.1 1026.6 4.1 -3.8
+ 2015 2 1 6 267 8.6 9.6 1026.3 4.2 -3.8
+ 2015 2 1 7 264 9.3 9.9 1026.1 3.9 -2.8
+ 2015 2 1 8 268 8.2 9.1 1026.1 3.5 -3.0
+ 2015 2 1 9 272 8.8 9.6 1025.4 3.2 -3.3
+ 2015 3 1 0 328 3.6 4.5 1028.0 3.8 -3.5
+ 2015 3 1 1 300 2.1 2.7 1027.9 3.7 -4.4
+ 2015 3 1 2 264 2.4 2.9 1027.7 3.6 -4.5
+ 2015 3 1 3 230 4.1 4.5 1027.4 4.2 -3.8
+ 2015 3 1 4 242 8.1 9.2 1026.6 4.4 -3.1
+ 2015 3 1 5 262 9.3 10.1 1026.6 4.1 -3.8
+ 2015 3 1 6 267 8.6 9.6 1026.3 4.2 -3.8
+ 2015 3 1 7 264 9.3 9.9 1026.1 3.9 -2.8
+ 2015 3 1 8 268 8.2 9.1 1026.1 3.5 -3.0
+ 2015 3 1 9 272 8.8 9.6 1025.4 3.2 -3.3
+ ",
+ header = TRUE,
+ as.is = TRUE)
>
> library(dplyr)
> by_year <- x %>%
+ group_by(X.YY) %>%
+ summarise_each(funs(mean))
>
> by_ym <- x %>%
+ group_by(X.YY, MM ) %>%
+ summarise_each(funs(mean))
>
> by_ymd <- x %>%
+ group_by(X.YY, MM, DD) %>%
+ summarise_each(funs(mean))
>
> by_year
Source: local data frame [1 x 10]
X.YY MM DD hh WDI R.WSP D.GST PRES ATMP DEWP
<int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2015 2 1 4.5 269.7 6.45 7.21 1026.81 3.86 -3.6
> by_ym
Source: local data frame [3 x 10]
Groups: X.YY [?]
X.YY MM DD hh WDI R.WSP D.GST PRES ATMP DEWP
<int> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2015 1 1 4.5 269.7 6.45 7.21 1026.81 3.86 -3.6
2 2015 2 1 4.5 269.7 6.45 7.21 1026.81 3.86 -3.6
3 2015 3 1 4.5 269.7 6.45 7.21 1026.81 3.86 -3.6
> by_ymd
Source: local data frame [3 x 10]
Groups: X.YY, MM [?]
X.YY MM DD hh WDI R.WSP D.GST PRES ATMP DEWP
<int> <int> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2015 1 1 4.5 269.7 6.45 7.21 1026.81 3.86 -3.6
2 2015 2 1 4.5 269.7 6.45 7.21 1026.81 3.86 -3.6
3 2015 3 1 4.5 269.7 6.45 7.21 1026.81 3.86 -3.6
>
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.
On Sun, Jul 17, 2016 at 5:42 PM, Jianling Fan <fanjianl...@gmail.com> wrote:
> Hello Tom,
>
> try aggregate() or cast(). Both works.I prefer the latter.
>
>
> library(reshape)
> desc<-melt(mydata, measure.vars=c("WDI","R.WSP", "D.GST", "PRES",
> "ATMP", "DEWP"),
> id.vars=c("X.YY","MM","DD"))
> summary<-cast(desc, X.YY+MM+DD~variable, mean)
>
>
>
>
>
>
>
>
>
> On 17 July 2016 at 06:22, Tom Mosca <t...@vims.edu> wrote:
> > Hello Good Folk,
> >
> > My dataframe looks like this:
> >> mydata
> > X.YY MM DD hh WDI R.WSP D.GST PRES ATMP DEWP
> > 1 2015 1 1 0 328 3.6 4.5 1028.0 3.8 -3.5
> > 2 2015 1 1 1 300 2.1 2.7 1027.9 3.7 -4.4
> > 3 2015 1 1 2 264 2.4 2.9 1027.7 3.6 -4.5
> > 4 2015 1 1 3 230 4.1 4.5 1027.4 4.2 -3.8
> > 5 2015 1 1 4 242 8.1 9.2 1026.6 4.4 -3.1
> > 6 2015 1 1 5 262 9.3 10.1 1026.6 4.1 -3.8
> > 7 2015 1 1 6 267 8.6 9.6 1026.3 4.2 -3.8
> > 8 2015 1 1 7 264 9.3 9.9 1026.1 3.9 -2.8
> > 9 2015 1 1 8 268 8.2 9.1 1026.1 3.5 -3.0
> > 10 2015 1 1 9 272 8.8 9.6 1025.4 3.2 -3.3 …
> >
> > The first four columns are year, month, day, hour (0 – 23). I wish to
> take the means of the next six columns (WDIR, WSPD, GST, PRES, ATMP and
> DEWP) by year, month and day. That is, I want daily averages.
> >
> > Please help. Thank you.
> >
> > Tom
> >
> > [[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.
>
>
>
> --
> Jianling Fan
> 樊建凌
>
> ______________________________________________
> 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.
