Package 'fixtuRes' reference manual

Title:	Mock Data Generator
Description:	Generate mock data in R using YAML configuration.
Authors:	Jakub Nowicki [aut, cre]
Maintainer:	Jakub Nowicki <[email protected]>
License:	MIT + file LICENSE
Version:	0.1.3
Built:	2025-02-28 05:02:29 UTC
Source:	https://github.com/jakubnowicki/fixtures

vector of values that follow specified distribution

Description

vector of values that follow specified distribution

Usage

distribution_vector(size, distribution_type, distribution_arguments = list())
distribution_vector(size, distribution_type, distribution_arguments = list())

Arguments

`size`	integer, size of the output vector
`distribution_type`	character, type of distribution. You can use direct function name, e.g. "rnorm" or a regular name (e.g. "normal", "gaussian"). All standard distributions from stats package are covered. For a list check Distributions
`distribution_arguments`	list of arguments required by the distribution function

Examples

distribution_vector(10, "normal", list(mean = 2, sd = 0.5))
distribution_vector(10, "normal", list(mean = 2, sd = 0.5))

id vector with sequence of integers

Description

id vector with sequence of integers

Usage

id_vector(size, start = 1)
id_vector(size, start = 1)

Arguments

`size`	integer, size of the output vector
`start`	integer, value of the first element

Examples

id_vector(10, 2)
id_vector(10, 2)

MockDataGenerator

Description

Object that stores mock data configurations and generated datasets

Methods

Method `new()`

Create a new MockDataGenerator object

Usage

MockDataGenerator$new(configuration)

Arguments

configuration: list or path to YAML file with datasets configurations. Check configuration for details. For a sample YAML check examples.

Returns

A new MockDataGenerator object

Method `get_data()`

Get a dataset (if does not exist, generate it)

Usage

MockDataGenerator$get_data(data_name, size = NULL, refresh = FALSE)

Arguments

data_name: string, data set name to retrieve
size: integer, size of dataset (if provided, will refresh dataset)
refresh: boolean, refresh existing data?

Returns

mock dataset

Method `get_all_data()`

Get all datasets

Usage

MockDataGenerator$get_all_data(refresh = FALSE, sizes = NULL)

Arguments

refresh: boolean, refresh existing data?
sizes: integer, or vector of integers with data sizes

Returns

list with all datasets

Method `clone()`

The objects of this class are cloneable with this method.

Usage

MockDataGenerator$clone(deep = FALSE)

Arguments

deep: Whether to make a deep clone.

Generate random boolean

Description

Generate random boolean

Usage

random_boolean()
random_boolean()

Value

random boolean

Examples

random_boolean()
random_boolean()

Generate a random data frame from given configuration

Description

Generate a random data frame from given configuration

Usage

random_data_frame(configuration, size)
random_data_frame(configuration, size)

Arguments

configuration

list, a configuration of columns with all arguments required by vector generator passed as sublists of sublist "columns". Column can be also generated with custom function. Pass "custom_column" as column type and function (or function name) as custom_column_generator. Column generator has to accept argument size and return a vector of this size. Third option is to pass an expression that involves existing columns. This can be a simple one, or a call of an existing function.

size

integer, number of rows to generate.

Value

data.frame

Examples

conf <- list(
 columns = list(
   first_column = list(
     type = "string",
     length = 3
   ),
   second_column = list(
     type = "integer",
     max = 10
   ),
   third_column = list(
     type = "calculated",
     formula = "second_column * 2"
   )
 )
)

random_data_frame(conf, size = 10)
conf <- list(
 columns = list(
   first_column = list(
     type = "string",
     length = 3
   ),
   second_column = list(
     type = "integer",
     max = 10
   ),
   third_column = list(
     type = "calculated",
     formula = "second_column * 2"
   )
 )
)

random_data_frame(conf, size = 10)

Get random date from an interval

Description

Get random date from an interval

Usage

random_date(min_date, max_date, format = NULL)
random_date(min_date, max_date, format = NULL)

Arguments

`min_date`	character or date, beginning of the time interval to sample from
`max_date`	character or date, ending of the time interval to sample from
`format`	character, check `strptime` for details

Examples

random_date("2012-12-04", "2020-10-31")
random_date("2012-12-04", "2020-10-31")

Get random date vector from an interval

Description

Get random date vector from an interval

Usage

random_date_vector(size, min_date, max_date, format = NULL, unique = FALSE)
random_date_vector(size, min_date, max_date, format = NULL, unique = FALSE)

Arguments

`size`	integer, vector length
`min_date`	character or date, beginning of the time interval to sample from
`max_date`	character or date, ending of the time interval to sample from
`format`	character, check `strptime` for details
`unique`	boolean, should the output be unique?

Examples

random_date_vector(12, "2012-12-04", "2020-10-31")
random_date_vector(12, "2012-12-04", "2020-10-31")

Get random datetime

Description

Get random datetime

Usage

random_datetime(
  min_date,
  max_date,
  date_format = NULL,
  min_time = "00:00:00",
  max_time = "23:59:59",
  time_resolution = "seconds",
  tz = "UTC"
)
random_datetime(
  min_date,
  max_date,
  date_format = NULL,
  min_time = "00:00:00",
  max_time = "23:59:59",
  time_resolution = "seconds",
  tz = "UTC"
)

Arguments

`min_date`	character or date, beginning of the dates interval to sample from
`max_date`	character or date, ending of the dates interval to sample from
`date_format`	character, check `strptime` for details
`min_time`	character, beginning of the time interval to sample from
`max_time`	character, ending of the time interval to sample from
`time_resolution`	character, one of "seconds", "minutes", "hours", time resolution
`tz`	character, time zone to use

Examples

random_datetime("2012-12-04", "2020-10-31", min_time = "7:00:00", max_time = "17:00:00")
random_datetime("2012-12-04", "2020-10-31", min_time = "7:00:00", max_time = "17:00:00")

Get random datetime vector

Description

Get random datetime vector

Usage

random_datetime_vector(
  size,
  min_date,
  max_date,
  date_format = NULL,
  date_unique = FALSE,
  min_time = "00:00:00",
  max_time = "23:59:59",
  time_resolution = "seconds",
  time_unique = FALSE,
  tz = "UTC"
)
random_datetime_vector(
  size,
  min_date,
  max_date,
  date_format = NULL,
  date_unique = FALSE,
  min_time = "00:00:00",
  max_time = "23:59:59",
  time_resolution = "seconds",
  time_unique = FALSE,
  tz = "UTC"
)

Arguments

`size`	integer, vector length
`min_date`	character or date, beginning of the dates interval to sample from
`max_date`	character or date, ending of the dates interval to sample from
`date_format`	character, check `strptime` for details
`date_unique`	boolean, should the date part of the output be unique?
`min_time`	character, beginning of the time interval to sample from
`max_time`	character, ending of the time interval to sample from
`time_resolution`	character, one of "seconds", "minutes", "hours", time resolution
`time_unique`	boolean, should the time part of the output be unique?
`tz`	character, time zone to use

Examples

random_datetime_vector(12, "2012-12-04", "2020-10-31", min_time = "7:00:00", max_time = "17:00:00")
random_datetime_vector(12, "2012-12-04", "2020-10-31", min_time = "7:00:00", max_time = "17:00:00")

Choose random element from set

Description

Choose random element from set

Usage

random_from_set(set)
random_from_set(set)

Arguments

set

vector, set of values to choose from

Value

a single element from a given set

Examples

random_from_set(c("a", "b", "c"))
random_from_set(c("a", "b", "c"))

Generate random integer

Description

Generate random integer

Usage

random_integer(min = 0, max = 999999)
random_integer(min = 0, max = 999999)

Arguments

`min`	integer, minimum
`max`	integer, maximum

Value

random integer

Examples

random_integer(min = 2, max = 10)
random_integer(min = 2, max = 10)

Generate random numeric

Description

Generate random numeric

Usage

random_numeric(min = 0, max = 999999)
random_numeric(min = 0, max = 999999)

Arguments

`min`	numeric, minimum
`max`	numeric, maximum

Value

random numeric

Examples

random_numeric(min = 1.5, max = 4.45)
random_numeric(min = 1.5, max = 4.45)

Generate random string

Description

Generate random string

Usage

random_string(
  length = NULL,
  min_length = 1,
  max_length = 15,
  pattern = "[A-Za-z0-9]"
)
random_string(
  length = NULL,
  min_length = 1,
  max_length = 15,
  pattern = "[A-Za-z0-9]"
)

Arguments

`length`	integer or NULL (default), output string length. If NULL, length will be random
`min_length`	integer, minimum length if length is random. Default: 1.
`max_length`	integer, maximum length if length is random. Default: 15.
`pattern`	string, pattern for string to follow. Check `stringi-search-charclass` for details.

Value

random string

Examples

random_string(length = 5)
random_string(length = 5)

Get random time from an interval

Description

Get random time from an interval

Usage

random_time(
  min_time = "00:00:00",
  max_time = "23:59:59",
  resolution = "seconds"
)
random_time(
  min_time = "00:00:00",
  max_time = "23:59:59",
  resolution = "seconds"
)

Arguments

`min_time`	character, beginning of the time interval to sample from
`max_time`	character, ending of the time interval to sample from
`resolution`	character, one of "seconds", "minutes", "hours", time resolution

Examples

random_time("12:23:00", "15:48:32")
random_time("12:23:00", "15:48:32")

Get random time vector from an interval

Description

Get random time vector from an interval

Usage

random_time_vector(
  size,
  min_time = "00:00:00",
  max_time = "23:59:59",
  resolution = "seconds",
  unique = FALSE
)
random_time_vector(
  size,
  min_time = "00:00:00",
  max_time = "23:59:59",
  resolution = "seconds",
  unique = FALSE
)

Arguments

`size`	integer, vector length
`min_time`	character, beginning of the time interval to sample from
`max_time`	character, ending of the time interval to sample from
`resolution`	character, one of "seconds", "minutes", "hours", time resolution
`unique`	boolean, should the output be unique?

Examples

random_time_vector(12, "12:23:00", "15:48:32")
random_time_vector(12, "12:23:00", "15:48:32")

Generate a random vector of desired type

Description

Generate a random vector of desired type

Usage

random_vector(size, type, custom_generator = NULL, unique = FALSE, ...)
random_vector(size, type, custom_generator = NULL, unique = FALSE, ...)

Arguments

`size`	integer, vector length
`type`	"integer", "string", "boolean", "date", "time", "datetime" or "numeric" type of vector values. If custom generator provided, should be set to "custom".
`custom_generator`	function or string, custom value generator. Can be a function or a string with function name. Default: NULL
`unique`	boolean, should the output contain only unique values. Default: FALSE.
`...`	arguments passed to function responsible for generating values. Check `random_integer`, `random_string`, `random_boolean` and `random_numeric` for details

Value

vector of random values of chosen type

Examples

random_vector(5, "boolean")
random_vector(10, "numeric", min = 1.5, max = 5)
random_vector(4, "string", length = 4, pattern = "[ACGT]")
random_vector(2, "integer", max = 10)

# custom generator
custom_generator <- function() sample(c("A", "B"), 1)
random_vector(3, type = "custom", custom_generator = custom_generator)
random_vector(5, "boolean")
random_vector(10, "numeric", min = 1.5, max = 5)
random_vector(4, "string", length = 4, pattern = "[ACGT]")
random_vector(2, "integer", max = 10)

# custom generator
custom_generator <- function() sample(c("A", "B"), 1)
random_vector(3, type = "custom", custom_generator = custom_generator)

Generate a vector of a values from a set

Description

Generate a vector of a values from a set

Usage

set_vector(size, set = NULL, set_type = NULL, set_size = NULL, ...)
set_vector(size, set = NULL, set_type = NULL, set_size = NULL, ...)

Arguments

`size`	integer, vector length
`set`	vector a set of values to pick from; default: NULL
`set_type`	string if set is NULL generate a random set of type ("integer", "string", "boolean", "numeric"); default: NULL
`set_size`	integer, number of elements in random set; default: NULL
`...`	additional arguments for random set generator. For details check `random_vector`

Note

When using a random set, be aware, that set has to be unique, thus if arguments passed to generator do not allow this, the function can end up in an infinite loop.

Examples

set_vector(10, set = c("a", "b", "c"))
set_vector(size = 5, set_type = "string", set_size = 3)
set_vector(10, set = c("a", "b", "c"))
set_vector(size = 5, set_type = "string", set_size = 3)

Wrapper that allows generating a special type vectors

Description

Wrapper that allows generating a special type vectors

Usage

special_vector(size, type, configuration)
special_vector(size, type, configuration)

Arguments

`size`	integer, vector length
`type`	type of vector, one of: "id", "distribution"
`configuration`	list of arguments required by vector function

Examples

special_vector(10, "id", list(start = 3))
special_vector(10, "id", list(start = 3))

Package 'fixtuRes'

Help Index

vector of values that follow specified distribution

Description

Usage

Arguments

Examples

id vector with sequence of integers

Description

Usage

Arguments

Examples

MockDataGenerator

Description

Methods

Public methods

Method new()

Usage

Arguments

Returns

Method get_data()

Usage

Arguments

Returns

Method get_all_data()

Usage

Arguments

Returns

Method clone()

Usage

Arguments

Generate random boolean

Description

Usage

Value

Examples

Generate a random data frame from given configuration

Description

Usage

Arguments

Value

Examples

Get random date from an interval

Description

Usage

Arguments

Examples

Get random date vector from an interval

Description

Usage

Arguments

Examples

Get random datetime

Description

Usage

Arguments

Examples

Get random datetime vector

Description

Usage

Arguments

Examples

Choose random element from set

Description

Usage

Arguments

Value

Examples

Generate random integer

Description

Usage

Arguments

Value

Examples

Generate random numeric

Description

Usage

Arguments

Value

Examples

Method `new()`

Method `get_data()`

Method `get_all_data()`

Method `clone()`