as_data_frame {dplyr} | R Documentation |
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 cbind
ing 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.
as_data_frame(x)
x |
A list. Each element of the list must have the same length. |
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) ) ## End(Not run)