future_map | R Documentation |
These functions work exactly the same as purrr::map()
and its variants, but
allow you to map in parallel.
future_map( .x, .f, ..., .options = furrr_options(), .env_globals = parent.frame(), .progress = FALSE ) future_map_chr( .x, .f, ..., .options = furrr_options(), .env_globals = parent.frame(), .progress = FALSE ) future_map_dbl( .x, .f, ..., .options = furrr_options(), .env_globals = parent.frame(), .progress = FALSE ) future_map_int( .x, .f, ..., .options = furrr_options(), .env_globals = parent.frame(), .progress = FALSE ) future_map_lgl( .x, .f, ..., .options = furrr_options(), .env_globals = parent.frame(), .progress = FALSE ) future_map_raw( .x, .f, ..., .options = furrr_options(), .env_globals = parent.frame(), .progress = FALSE ) future_map_dfr( .x, .f, ..., .id = NULL, .options = furrr_options(), .env_globals = parent.frame(), .progress = FALSE ) future_map_dfc( .x, .f, ..., .options = furrr_options(), .env_globals = parent.frame(), .progress = FALSE ) future_walk( .x, .f, ..., .options = furrr_options(), .env_globals = parent.frame(), .progress = FALSE )
.x |
A list or atomic vector. |
.f |
A function, formula, or vector (not necessarily atomic). If a function, it is used as is. If a formula, e.g.
This syntax allows you to create very compact anonymous functions. If character vector, numeric vector, or list, it is
converted to an extractor function. Character vectors index by
name and numeric vectors index by position; use a list to index
by position and name at different levels. If a component is not
present, the value of |
... |
Additional arguments passed on to the mapped function. |
.options |
The |
.env_globals |
The environment to look for globals required by |
.progress |
A single logical. Should a progress bar be displayed? Only works with multisession, multicore, and multiprocess futures. Note that if a multicore/multisession future falls back to sequential, then a progress bar will not be displayed. Warning: The |
.id |
Either a string or Only applies to |
All functions return a vector the same length as .x
.
future_map()
returns a list
future_map_lgl()
a logical vector
future_map_int()
an integer vector
future_map_dbl()
a double vector
future_map_chr()
a character vector
The output of .f
will be automatically typed upwards, e.g. logical ->
integer -> double -> character.
library(magrittr) plan(multisession, workers = 2) 1:10 %>% future_map(rnorm, n = 10, .options = furrr_options(seed = 123)) %>% future_map_dbl(mean) # If each element of the output is a data frame, use # `future_map_dfr()` to row-bind them together: mtcars %>% split(.$cyl) %>% future_map(~ lm(mpg ~ wt, data = .x)) %>% future_map_dfr(~ as.data.frame(t(as.matrix(coef(.))))) # You can be explicit about what gets exported to the workers. # To see this, use multisession (not multicore as the forked workers # still have access to this environment) plan(multisession) x <- 1 y <- 2 # This will fail, y is not exported (no black magic occurs) try(future_map(1, ~y, .options = furrr_options(globals = "x"))) # y is exported future_map(1, ~y, .options = furrr_options(globals = "y"))
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