Hello,
A more explicit response can be found in :
https://cran.r-project.org/web/packages/lazyeval/vignettes/lazyeval.html
where it is explained that :
"quoted called and strings don’t have environments associated with them,
so as.lazy() defaults to using baseenv(). This will work if the
expression is self-contained (i.e. doesn’t contain any references to
variables in the local environment), and will otherwise fail quickly and
robustly."
So summarise_ seems to work with "min" because this function is in the
base package, but not with "quantile" which is in the stats package.
A solution using strings could be :
summarise_(mtcars, "stats::quantile(mpg, 0.1)")
SD
On 22/11/2015 03:15, Jeff Newmiller wrote:
Please post using plain text. The following works.
mutate %>% summarise_( ~quantile( mpg, 0.1 ) )
Read the vignette on nse that comes with dplyr, or Google the error message.
On November 21, 2015 3:33:16 PM PST, Tobias Byland <tob...@byland.info> wrote:
Hi everyone,
I am stumbling over the following issue when using the NSE
(non-standard
evaluation) of the summarise function in dpylr (as described here:
https://cran.r-project.org/web/packages/dplyr/vignettes/nse.html):
mtcars %>% summarise(min(mpg)) # summarize and min
mtcars %>% summarise_("min(mpg)") # summarize_ and min
mtcars %>% summarise(quantile(mpg, 0.1)) # summarize and quantile
mtcars %>% summarise_("quantile(mpg, 0.1)") # summarize_ and
quantile -> ERROR
The last (and only the last) call results in the following error:
Error: could not find function "quantile"
It seems to me, that the combination of summarise_ and quantile()
somehow doesn't work.
Does anyone have an idea what the issue here is?
Thanks a lot!
Regards
Tobi
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