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>
>
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