I am fairly new to R and I am trying to understand the %>%
operator and the usage of the \" .
\" (dot) placeholder. As a simple example the follo
The "problem" is that magrittr has a short-hand notation for anonymous functions:
. %>% is.data.frame
is roughly the same as
function(.) is.data.frame(.)
In other words, when the dot is the (left-most) left-hand side, the pipe has special behaviour.
You can escape the behaviour in a few ways, e.g.
(.) %>% is.data.frame
or any other way where the LHS is not identical to .
In this particular example, this may seem as undesirable behaviuour, but commonly in examples like this there's really no need to pipe the first expression, so is.data.frame(.)
is as expressive as . %>% is.data.frame
, and
examples like
data %>%
some_action %>%
lapply(. %>% some_other_action %>% final_action)
can be argued to be clearner than
data %>%
some_action %>%
lapply(function(.) final_action(some_other_action(.)))
This is the problem:
. = data.frame(x = 5)
a = data.frame(x = 5)
a %>% is.data.frame
#[1] TRUE
. %>% is.data.frame
#Functional sequence with the following components:
#
# 1. is.data.frame(.)
#
#Use 'functions' to extract the individual functions.
Looks like a bug to me, but dplyr
experts can chime in.
A simple workaround in your expression is to do .[] %>% is.data.frame
.