dplyr (version 0.4.0.9000)

as_data_frame: Coerce a list to a data frame.

Description

as.data.frame is effectively a thin wrapper around data.frame, and hence is rather slow (because it calls data.frame on each element before cbinding together). as_data_frame just verifies that the list is structured correctly (i.e. named, and each element is same length) then sets class and row name attributes.

Usage

as_data_frame(x)

Arguments

x
A list. Each element of the list must have the same length.

Examples

Run this code
l <- list(x = 1:500, y = runif(500), z = 500:1)
df <- as_data_frame(l)

# Coercing to a data frame does not copy columns
changes(as_data_frame(l), as_data_frame(l))

# as_data_frame is considerably simpler/faster than as.data.frame
# making it more suitable for use when you have things that are
# lists
## Not run: ------------------------------------
# l2 <- replicate(26, sample(letters), simplify = FALSE)
# names(l2) <- letters
# microbenchmark::microbenchmark(
#   as_data_frame(l2),
#   as.data.frame(l2)
# )
## ---------------------------------------------

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