Whereas %>%
is lazy and only evaluates the piped expressions when
needed, %!>%
is eager and evaluates the piped input at each step.
This produces more intuitive behaviour when functions are called
for their side effects, such as displaying a message.
Note that you can also solve this by making your function
strict. Call force()
on the first argument in your function to
force sequential evaluation, even with the lazy %>%
pipe.
See the examples section.
Arguments
- lhs
A value or the magrittr placeholder.
- rhs
A function call using the magrittr semantics.
Examples
f <- function(x) {
message("foo")
x
}
g <- function(x) {
message("bar")
x
}
h <- function(x) {
message("baz")
invisible(x)
}
# The following lazy pipe sequence is equivalent to `h(g(f()))`.
# Given R's lazy evaluation behaviour,`f()` and `g()` are lazily
# evaluated when `h()` is already running. This causes the messages
# to appear in reverse order:
NULL %>% f() %>% g() %>% h()
#> baz
#> bar
#> foo
# Use the eager pipe to fix this:
NULL %!>% f() %!>% g() %!>% h()
#> foo
#> bar
#> baz
# Or fix this by calling `force()` on the function arguments
f <- function(x) {
force(x)
message("foo")
x
}
g <- function(x) {
force(x)
message("bar")
x
}
h <- function(x) {
force(x)
message("baz")
invisible(x)
}
# With strict functions, the arguments are evaluated sequentially
NULL %>% f() %>% g() %>% h()
#> foo
#> bar
#> baz
# Instead of forcing, you can also check the type of your functions.
# Type-checking also has the effect of making your function lazy.