Our interference from then environment issue was a bit subtle. But there are variations that can be a bit more insidious.
Please consider the following.
library(“dplyr”)
unrelated value that happens
to be in our environment
z <- “y”
data.frame(x = 1, y = 2, z = 3) %>% select(-z)
x y
1 1 2
data.frame(x = 1, y = 2) %>% # oops, no “z” select(-z)
x
1 1
notice column “y” was removed and
no error or warning was signalled.
When the data.frame has a lot of columns, and is coming from somewhere else (even as an argument to a function): we may not notice the column loss until very much later (making for hard debugging or even unreliable results).
Like this:
Like Loading…
Related