tibble (version 1.3.1)

as_tibble: Coerce lists and matrices to data frames.

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_tibble is a new S3 generic with more efficient methods for matrices and data frames.

Usage

as_tibble(x, ...)
# S3 method for tbl_df
as_tibble(x, ...)
# S3 method for data.frame
as_tibble(x, validate = TRUE, ...)
# S3 method for list
as_tibble(x, validate = TRUE, ...)
# S3 method for matrix
as_tibble(x, ...)
# S3 method for table
as_tibble(x, n = "n", ...)
# S3 method for NULL
as_tibble(x, ...)
# S3 method for default
as_tibble(x, ...)

Arguments

x

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

...

Other arguments passed on to individual methods.

validate

When TRUE, verifies that the input is a valid data frame (i.e. all columns are named, and are 1d vectors or lists). You may want to suppress this when you know that you already have a valid data frame and you want to save some time.

n

Name for count column, default: "n".

Details

This is an S3 generic. tibble includes methods for data frames (adds tbl_df classes), tibbles (returns unchanged input), lists, matrices, and tables. Other types are first coerced via as.data.frame() with stringsAsFactors = FALSE.

as_data_frame and as.tibble are aliases.

Examples

l <- list(x = 1:500, y = runif(500), z = 500:1)
df <- as_tibble(l)

m <- matrix(rnorm(50), ncol = 5)
colnames(m) <- c("a", "b", "c", "d", "e")
df <- as_tibble(m)

# as_tibble is considerably simpler than as.data.frame
# making it more suitable for use when you have things that are
# lists
## Not run: ------------------------------------
# if (requireNamespace("microbenchmark", quiet = TRUE)) {
#   l2 <- replicate(26, sample(letters), simplify = FALSE)
#   names(l2) <- letters
#   microbenchmark::microbenchmark(
#     as_tibble(l2, validate = FALSE),
#     as_tibble(l2),
#     as.data.frame(l2)
#   )
# }
# 
# if (requireNamespace("microbenchmark", quiet = TRUE)) {
#   m <- matrix(runif(26 * 100), ncol = 26)
#   colnames(m) <- letters
#   microbenchmark::microbenchmark(
#     as_tibble(m),
#     as.data.frame(m)
#   )
# }
## ---------------------------------------------