If you are very inexperienced with R you still have time to forget you ever
heard
of the attach function. Your code
> attach(datATMP)
> datATMP1 <- datATMP[order(MM),]
> detach(datATMP)
can be replaced by
> datATMP1 <- datATMP[order(datATMP[["MM"]]),]
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Mon, Jul 18, 2016 at 6:18 AM, Tom Mosca <t...@vims.edu> wrote:
> Dear Jim,
>
>
>
> I'm very inexperienced with R.
>
>
>
> I'm sorry I failed to recognize the flaw in my example. I just clipped
> the first few lines of data, and should have realized that they were for
> the first few hours of a single day.
>
>
>
> My first problem was to take the means by day. As all the data come from
> a single year, I accomplished the goal by using:
>
> > datATMP<-aggregate(mydata, by=mydata[c("MM","DD")], FUN=mean)
>
>
>
> My second problem was to sort the results by month, for which I used:
>
> > attach(datATMP)
> > datATMP1 <- datATMP[order(MM),]
> > datATMP1
> > detach(datATMP)
>
>
>
> I have read that I should avoid using attach(), and should use with()
> instead. However, I have not yet figured out how to do this with with().
> I'm only running short segments of code, and think I'll be alright with
> attach() for the time being, but do want to develop better form. So, I'll
> keep working on it.
>
>
>
> Thank you for your kind response and examples. I will study them.
>
>
>
> Sincerely, Tom
>
>
>
>
>
> ________________________________
> From: jim holtman [jholt...@gmail.com]
> Sent: Sunday, July 17, 2016 7:14 PM
> To: Jianling Fan
> Cc: Tom Mosca; r-help@r-project.org
> Subject: Re: [R] means by year, month and day
>
> 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<http://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
> <mailto: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<mailto: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<mailto: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<mailto: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.
>
[[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.
