vroom (version 1.0.2)

gen_tbl: Generate a random tibble

Description

This is useful for benchmarking, but also for bug reports when you cannot share the real dataset.

Usage

gen_tbl(rows, cols = NULL, col_types = NULL,
  locale = default_locale(), missing = 0)

Arguments

rows

Number of rows to generate

cols

Number of columns to generate, if NULL this is derived from col_types.

col_types

One of NULL, a cols() specification, or a string. See vignette("readr") for more details.

If NULL, all column types will be imputed from the first 1000 rows on the input. This is convenient (and fast), but not robust. If the imputation fails, you'll need to supply the correct types yourself.

If a column specification created by cols(), it must contain one column specification for each column. If you only want to read a subset of the columns, use cols_only().

Alternatively, you can use a compact string representation where each character represents one column: c = character, i = integer, n = number, d = double, l = logical, f = factor, D = date, T = date time, t = time, ? = guess, or _/- to skip the column.

locale

The locale controls defaults that vary from place to place. The default locale is US-centric (like R), but you can use locale() to create your own locale that controls things like the default time zone, encoding, decimal mark, big mark, and day/month names.

missing

The percentage (from 0 to 1) of missing data to use

Details

There is also a family of functions to generate individual vectors of each type.

See Also

generators to generate individual vectors.

Examples

# NOT RUN {
# random 10 x 5 table with random column types
rand_tbl <- gen_tbl(10, 5)
rand_tbl

# all double 25 x 4 table
dbl_tbl <- gen_tbl(25, 4, col_types = "dddd")
dbl_tbl

# Use the dots in long form column types to change the random function and options
types <- rep(times = 4, list(col_double(f = stats::runif, min = -10, max = 25)))
types
dbl_tbl2 <- gen_tbl(25, 4, col_types = types)
dbl_tbl2
# }