Hi Hadley,
Thanks for getting back to me - the dplyr package seems really great.
The issue I have is that the groupings no longer works when I'm using the
plyr::summarise function
Here is my code, I think it's pretty obvious what I'm trying to do:
data_df <- tbl_df(full.data)
group_year <- group_by(data_df,unique.i)
skate.ddply <- dplyr::summarise(group_year,COR.TOW.SUM=sum(COR.CLEN))
-> Here are the results comparing the two plyr & dplyr function
Here are the results comparing the use of the plyr and dplyr
=========== dplyr ============
Browse[2]> dplyr::summarise(group_year,COR.TOW.SUM=sum(COR.CLEN))
Source: local data frame [7,757 x 2]
unique.i COR.TOW.SUM
1 NED2013022.77 0
2 NED2013022.70 0
3 NED2013022.66 0
4 NED2013022.60 0
5 NED2013022.57 0
6 NED2013022.79 0
7 NED2013022.78 0
8 NED2013022.61 0
9 NED2013022.52 0
10 NED2013022.48 0
.. ... ...
============== plyr ===========
Browse[2]> plyr::summarise(group_year,COR.TOW.SUM=sum(COR.CLEN))
COR.TOW.SUM
1 31822.06
On Wed, Jan 29, 2014 at 2:35 PM, Hadley Wickham <h.wick...@gmail.com> wrote:
> If you load plyr first, then dplyr, I think everything should work.
> dplyr::summarise works similarly enough to plyr::summarise that it
> shouldn't cause problems.
>
> Hadley
>
> On Wed, Jan 29, 2014 at 4:19 PM, Trevor Davies <davies.tre...@gmail.com>
> wrote:
> > I think I have a hole in my understanding of how R uses packages (or at
> > least how it gives functions in packages priority). I thought I would
> give
> > the new dplyr package a test drive this morning (which is blazingly fast
> > BTW) and I've gone down the rabbit hole.
> >
> > The issue is that I'm unable to use both plyr and dplyr in a program that
> > I'm writing. When I initially install dplyr and I look at the summarise
> > function everything works great but if I then install the plyr package
> the
> > summarise function from dplyr is then masked with the plyr summarise
> > function taking priority. I can't seem to figure out a way to get the
> > dplyr summarise to become the main function...
> >
> > What am I missing here? Can you not use the dplyr and plyr packages at
> the
> > same time?
> >
> >
> > Example:
> > =========================
> >> require(dplyr)
> > Loading required package: dplyr
> >
> > Attaching package: 'dplyr'
> >
> > The following objects are masked from 'package:stats':
> >
> > filter, lag
> >
> > The following objects are masked from 'package:base':
> >
> > intersect, setdiff, setequal, union
> >
> >> summarise
> > function (.data, ...)
> > UseMethod("summarise")
> > <environment: namespace:dplyr>
> >>
> > =======================
> > ***However, if I then install plyr I get what is below and masks the
> dplyr
> > summarise function:**
> >
> >> require(plyr)
> > Loading required package: plyr
> > Attaching package: 'plyr'
> > The following objects are masked from 'package:dplyr':
> > arrange, desc, failwith, id, mutate, summarise
> >> summarise
> > function (.data, ...)
> > {
> > stopifnot(is.data.frame(.data) || is.list(.data) ||
> > is.environment(.data))
> > ....
> > ...}
> > <environment: namespace:plyr>
> >>
> > ===============
> > ** Then no going back...
> > require(dplyr)
> >> summarise
> > function (.data, ...)
> > {
> > stopifnot(is.data.frame(.data) || is.list(.data) ||
> > is.environment(.data))
> > ....
> > ...}
> > <environment: namespace:plyr>
> >>
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@r-project.org mailing list
> > 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.
>
>
>
> --
> http://had.co.nz/
>
[[alternative HTML version deleted]]
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