Generate individual vectors of the types supported by vroom

Usage

gen_character(n, min = 5, max = 25, values = c(letters, LETTERS, 0:9), ...)

gen_double(n, f = stats::rnorm, ...)

gen_number(n, f = stats::rnorm, ...)

gen_integer(n, min = 1L, max = .Machine$integer.max, prob = NULL, ...)

gen_factor(
  n,
  levels = NULL,
  ordered = FALSE,
  num_levels = gen_integer(1L, 1L, 25L),
  ...
)

gen_time(n, min = 0, max = hms::hms(days = 1), fractional = FALSE, ...)

gen_date(n, min = as.Date("2001-01-01"), max = as.Date("2021-01-01"), ...)

gen_datetime(
  n,
  min = as.POSIXct("2001-01-01"),
  max = as.POSIXct("2021-01-01"),
  tz = "UTC",
  ...
)

gen_logical(n, ...)

gen_name(n)

Arguments

n: The size of the vector to generate
min: The minimum range for the vector
max: The maximum range for the vector
values: The explicit values to use.
...: Additional arguments passed to internal generation functions
f: The random function to use.
prob: a vector of probability weights for obtaining the elements of the vector being sampled.
levels: The explicit levels to use, if NULL random levels are generated using gen_name().
ordered: Should the factors be ordered factors?
num_levels: The number of factor levels to generate
fractional: Whether to generate times with fractional seconds
tz: The timezone to use for dates

Examples

# characters
gen_character(4)
#> [1] "vDXTB65ZzWK8cVQr"        "yKDmIL2nE4p64wcaXCWyJO0"
#> [3] "TjYAX"                   "IVQY2EoHG"              

# factors
gen_factor(4)
#> [1] different_jaguar  magnificent_snake worried_armadillo
#> [4] helpless_jaguar  
#> 13 Levels: helpless_jaguar hollow_bat wet_chimpanzee ... hissing_rooster

# logical
gen_logical(4)
#> [1] FALSE FALSE  TRUE  TRUE

# numbers
gen_double(4)
#> [1]  0.90376761  0.01140231 -0.38551473 -0.93018563
gen_integer(4)
#> [1] 2011655206 1442483574   26554727 1114092870

# temporal data
gen_time(4)
#> 21:15:28
#> 16:18:56
#> 03:26:27
#> 20:52:28
gen_date(4)
#> [1] "2008-12-19" "2011-05-30" "2002-12-27" "2009-02-27"
gen_datetime(4)
#> [1] "2002-09-12 06:39:32 UTC" "2008-10-15 12:43:41 UTC"
#> [3] "2019-11-21 18:56:06 UTC" "2002-09-29 11:32:58 UTC"