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] "JVP97TXeQ2ejYK1HtZCW5" "vHyeVU4FwpT5z29vdWwpQ"
#> [3] "UAU6qPnZ"              "01bEHCVgBXU"          

# factors
gen_factor(4)
#> [1] uptight_yak          broad_capybara       right_hyena         
#> [4] miniature_hartebeest
#> 17 Levels: broad_capybara agreeable_mink petite_deer ... empty_starfish

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

# numbers
gen_double(4)
#> [1] -2.1559919  1.2189333  0.3008837  1.2101631
gen_integer(4)
#> [1] 1812413698  215080157  446571473  211506290

# temporal data
gen_time(4)
#> 04:16:02
#> 15:04:33
#> 15:49:14
#> 01:58:49
gen_date(4)
#> [1] "2002-08-16" "2006-08-16" "2013-12-10" "2020-01-09"
gen_datetime(4)
#> [1] "2008-07-03 03:11:32 UTC" "2014-03-16 04:30:15 UTC"
#> [3] "2008-07-19 17:56:12 UTC" "2006-06-11 10:43:18 UTC"