Package {fkr}

Type: Package
Title: Realistic Fake Data Generator for the Philippines
Version: 0.1.0
Description: Generates realistic, locale-aware synthetic data for the Philippines, covering both personal data (names, ages, birthdays, contact details, addresses, government-ID-style numbers) and business data (company names, industries, job titles, products, prices, and permit numbers). Every value, including anything formatted to resemble a government identifier, is drawn uniformly at random for software testing, prototyping, and teaching, and does not correspond to any real person, business, or record.
License: MIT + file LICENSE
URL: https://github.com/yng-me/fkr
BugReports: https://github.com/yng-me/fkr/issues
Encoding: UTF-8
Depends: R (≥ 3.5.0)
Imports: stats, phscs, psgc
Suggests: curl, knitr, rmarkdown, testthat (≥ 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-10-13 16:21:36 UTC; bhasabdulsamad
Author: Bhas Abdulsamad ORCID iD [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-22 10:40:07 UTC

fkr: Realistic Fake Data Generator for the Philippines

Description

fkr generates realistic, locale-aware synthetic data for the Philippines: personal data (names, sex, civil status, ages, birthdays, contact details, addresses, government-ID-style numbers) and business data (company names, industries, job titles, departments, products, prices, and permit numbers).

Conventions

Important disclaimer

Every value produced by this package – including values formatted to resemble government identifiers (SSS, PhilHealth, Pag-IBIG, TIN, PhilSys) – is drawn uniformly at random purely for software testing, prototyping, and teaching. These values are synthetic: they are not derived from, do not belong to, and will not validate against any real individual, business, or government record.

Author(s)

Maintainer: Bhas Abdulsamad aeabdulsamad@gmail.com (ORCID) [copyright holder]

See Also

Useful links:

Generate a complete fake dataset

Description

A dataset-level abstraction over the individual ⁠fkr_*()⁠ generators: describe each column with a specs list and get back a single, ready-to-use data.frame with n rows.

Usage

fkr(n, specs)

Arguments

n

Number of rows to generate. A single non-negative whole number.

specs

A named list describing each column. Names become column names and must be unique and non-empty. Each element can be:

  • A function of n – the common case – called as spec(n). This covers every ⁠fkr_*()⁠ generator directly, including ones with extra optional arguments (their defaults just apply), and function(n) fkr_city(n, province = "Cebu") to fix extra arguments.

  • A function with a data argument – for a column that depends on columns generated earlier in specs – called as spec(n, data = data), where data is the partial result built so far (a data.frame with one column per already-processed spec, in specs order). The argument must be named exactly data for this to trigger; its position doesn't matter.

  • An already-generated vector or data.frame with length/nrow equal to n.

  • A single scalar, recycled to length n (e.g. a constant column like country = "Philippines").

When a spec (whether a function's result or a literal value) is a data.frame – e.g. fkr_address() or fkr_coordinates() – its columns are flattened into the output, prefixed with the spec's own name (address becomes address_street, address_city, ...).

Value

A data.frame with n rows and one column per (flattened) spec, in the order given in specs.

Age/birthday consistency

If fkr_age() and either fkr_birthday() or fkr_birthday_split() both appear unwrapped (i.e. passed as the bare function, not e.g. function(n) fkr_age(n, age_range = 18:65)) among specs, fkr() draws the age once and feeds it to the birthday spec(s), so the generated age and the age implied by the birthdate always agree – instead of each independently drawing its own random age. Wrap either in an anonymous function (even a trivial function(n) fkr_age(n)) to opt out and get independent draws.

Examples

fkr_seed(1)
fkr(5, list(
  first_name = fkr_first_name,
  last_name = fkr_last_name,
  sex = fkr_sex,
  age = fkr_age,
  date_of_birth = fkr_birthday,
  address = fkr_address,
  coordinates = fkr_coordinates
))

# A column that depends on one generated earlier in `specs`:
fkr(5, list(
  age = fkr_age,
  civil_status = function(n, data) {
    ifelse(data$age < 18, "Single", fkr_civil_status(n))
  }
))

Generate complete, internally-consistent Philippine addresses

Description

Each generated row shares a single, real region/province/city/ZIP combination, so unlike calling the individual ⁠fkr_*⁠ geo functions separately, the fields are always geographically consistent with each other.

Usage

fkr_address(n, region = NULL)

Arguments

n

Number of addresses to generate. A single non-negative whole number.

region

Optional region name to restrict the draw to.

Value

A data.frame with n rows and character columns street, barangay, city, province, region, zip.

Examples

fkr_address(5)

Generate ages

Description

Draws n ages from age_range, weighted by an exponential decay so that, like a real population pyramid, younger ages are more common than older ones by default.

Usage

fkr_age(n, age_range = 0:130, bias = -0.05)

Arguments

n

Number of ages to generate. A single non-negative whole number.

age_range

Integer vector of candidate ages. Default 0:130. All values must be non-negative.

bias

Exponential decay rate applied over age_range (exp(bias * age)). Negative values (the default, -0.05) make younger ages more likely; 0 makes every age in age_range equally likely; positive values make older ages more likely.

Value

An integer vector of length n.

Examples

fkr_age(5)
fkr_age(5, age_range = 18:65, bias = 0)

Generate barangay names

Description

Draws from a curated list of barangay names that recur across many Philippine cities and municipalities (e.g. "Poblacion", "San Isidro").

Usage

fkr_barangay(n)

Arguments

n

Number of values to generate. A single non-negative whole number.

Value

A character vector of length n.

Examples

fkr_barangay(5)

Generate binary (0/1) values

Description

Generate binary (0/1) values

Usage

fkr_binary(n, values = c(0L, 1L), prob = 0.5)

Arguments

n

Number of values to generate. A single non-negative whole number.

values

The two values to draw from, as c(value_for_0, value_for_1). Default c(0L, 1L).

prob

Probability of drawing values[2]. Default 0.5.

Value

A vector of length n, with the same type as values.

Examples

fkr_binary(5)
fkr_binary(5, values = c("No", "Yes"), prob = 0.8)

Generate birthdates

Description

Generates a birthdate for each of n simulated people by first drawing an age with fkr_age(), then drawing a uniformly random date within that age's exact 1-year window relative to ref_date.

Usage

fkr_birthday(n, ..., age = NULL, ref_date = Sys.Date())

Arguments

n

Number of birthdates to generate. A single non-negative whole number.

...

Passed on to fkr_age() (e.g. age_range, bias). Ignored if age is supplied.

age

Optional precomputed ages (e.g. from a prior fkr_age() call) to generate birthdates for, instead of drawing new ones. Must be a non-negative numeric vector of length n. Passing this keeps an age column and a date_of_birth column consistent with each other instead of each being drawn independently; fkr() does this automatically when both fkr_age() and fkr_birthday() appear (unwrapped) in the same specs.

ref_date

Reference "today" that ages are computed against. Default Sys.Date().

Value

A Date vector of length n.

Examples

fkr_birthday(5)
fkr_birthday(5, age_range = 18:65)

ages <- fkr_age(5, age_range = 18:65)
fkr_birthday(5, age = ages) # birthdates consistent with `ages`

Generate birthdates as separate year/month/day components

Description

A convenience wrapper around fkr_birthday() that splits each generated date into its year, month, and day parts – handy for forms that collect date of birth as three separate fields.

Usage

fkr_birthday_split(n, ..., age = NULL, ref_date = Sys.Date())

Arguments

n

Number of birthdates to generate. A single non-negative whole number.

...

Passed on to fkr_age() (e.g. age_range, bias). Ignored if age is supplied.

age

Optional precomputed ages to generate birthdates for; see fkr_birthday()'s age argument.

ref_date

Reference "today" that ages are computed against. Default Sys.Date().

Value

A data.frame with n rows and character columns year ("YYYY"), month ("MM"), and day ("DD").

Examples

fkr_birthday_split(5)

Generate boolean values

Description

Generate boolean values

Usage

fkr_boolean(n, prob = 0.5)

Arguments

n

Number of values to generate. A single non-negative whole number.

prob

Probability of drawing TRUE. Default 0.5.

Value

A logical vector of length n.

Examples

fkr_boolean(5)
fkr_boolean(5, prob = 0.9)

Generate business/mayor's permit-style numbers

Description

Produces values matching the BP-YYYY-NNNNNN format commonly used by local government Business Permits and Licensing Offices (BPLOs). The digits are uniformly random and do not correspond to any real business; see the package-level disclaimer in ?fkr.

Usage

fkr_business_permit_number(n, year = as.integer(format(Sys.Date(), "%Y")))

Arguments

n

Number of values to generate. A single non-negative whole number.

year

Permit year. Default is the current year. Must be a single 4-digit whole number.

Value

A character vector of length n.

Examples

fkr_business_permit_number(5)
fkr_business_permit_number(5, year = 2023)

Generate Philippine cities/municipalities

Description

Generate Philippine cities/municipalities

Usage

fkr_city(n, province = NULL, region = NULL)

Arguments

n

Number of values to generate. A single non-negative whole number.

province

Optional province name to restrict the draw to.

region

Optional region name to restrict the draw to.

Value

A character vector of length n.

Examples

fkr_city(5)
fkr_city(5, province = "Cebu")

Generate civil status

Description

Draws from the civil status categories used on Philippine government and civil registry forms.

Usage

fkr_civil_status(n)

Arguments

n

Number of values to generate. A single non-negative whole number.

Value

A character vector of length n, one of "Single", "Married", "Widowed", "Separated", or "Annulled".

Examples

fkr_civil_status(5)

Generate company names

Description

Builds realistic Philippine business names by combining one or two surnames, a business-type word, and a corporate suffix (e.g. "Dela Cruz Trading Corp.", "Santos & Reyes Enterprises, Inc.").

Usage

fkr_company(n)

Arguments

n

Number of company names to generate. A single non-negative whole number.

Value

A character vector of length n.

Examples

fkr_company(5)

Generate company suffixes

Description

Generate company suffixes

Usage

fkr_company_suffix(n)

Arguments

n

Number of values to generate. A single non-negative whole number.

Value

A character vector of length n (e.g. "Inc.", "Corp.", "OPC").

Examples

fkr_company_suffix(5)

Generate Philippine latitude/longitude coordinates

Description

Draws a point uniformly at random within the decimal-degree bounding box of the Philippines, or of a single region if region is given. Bounding boxes are region-level approximations (not survey-grade), so a point is guaranteed to fall in roughly the right part of the archipelago, not necessarily on land.

Usage

fkr_coordinates(n, region = NULL, precision = 10)

Arguments

n

Number of coordinate pairs to generate. A single non-negative whole number.

region

Optional region name to restrict the draw to (one of fkr_region()'s possible outputs). If NULL (default), draws from the bounding box of the whole country.

precision

Number of decimal places to round latitude/ longitude to. Default 10.

Value

A data.frame with n rows and numeric columns latitude and longitude, each rounded to precision decimal places.

Examples

fkr_coordinates(5)
fkr_coordinates(5, region = "National Capital Region (NCR)")

Generate company department names

Description

Generate company department names

Usage

fkr_department(n)

Arguments

n

Number of values to generate. A single non-negative whole number.

Value

A character vector of length n.

Examples

fkr_department(5)

Generate email addresses

Description

Builds realistic email addresses from (optionally supplied) first and last names, using the mix of free email providers most commonly seen in the Philippines.

Usage

fkr_email(n, first_name = NULL, last_name = NULL, domain = NULL)

Arguments

n

Number of email addresses to generate. A single non-negative whole number.

first_name

Optional character vector of first names to build addresses from. Must have length 1 or length n. If NULL (default), names are drawn with fkr_first_name().

last_name

Optional character vector of last names, same recycling rule as first_name. If NULL (default), names are drawn with fkr_last_name().

domain

Optional character vector of email domains (e.g. "gmail.com") to use instead of the default weighted provider mix. Must have length 1 or length n.

Value

A character vector of length n.

Examples

fkr_email(5)
fkr_email(3, first_name = "Juan", last_name = "Dela Cruz")

Generate a factor variable with value labels and an optional variable label

Description

Draws from values (the underlying, often numeric, codes) and returns a factor() over them, optionally relabeled with human-readable labels (the value set) and tagged with a label (a variable-level description), mirroring the "variable label" / "value labels" distinction common in survey/statistical data (e.g. SPSS, Stata, haven).

Usage

fkr_factor(n, values, labels = NULL, label = NULL, prob = NULL)

Arguments

n

Number of values to generate. A single non-negative whole number.

values

A non-empty atomic vector of underlying codes/levels, with no NAs (e.g. c(1, 2) or c("M", "F")).

labels

Optional character vector of display labels, the same length as values and in the same order (e.g. c("Male", "Female") for values = c(1, 2)). If NULL (default), values are used as their own labels, as in a plain factor().

label

Optional single string describing the variable itself (e.g. "Respondent's biological sex"), attached as attr(x, "label") – not to be confused with labels, the per-value display text.

prob

Optional numeric vector of sampling weights, the same length as values. Default NULL draws every value with equal probability.

Value

A factor of length n with levels values (coerced to character, per factor()'s usual behavior) and, if given, an attr(x, "label") variable description. Note that as.integer() on the result gives each value's position in values, not the original code – use levels() or as.character() to recover the original values.

Examples

fkr_factor(5, values = c(1, 2), labels = c("Male", "Female"))
fkr_factor(5,
  values = c(1, 2), labels = c("Male", "Female"),
  label = "Respondent's biological sex"
)
fkr_factor(5, values = c(1, 2, 3), prob = c(0.7, 0.2, 0.1))

Generate Filipino first names

Description

Draws n given names from a lookup of ~700 male and ~760 female Filipino first names, optionally restricted by sex.

Usage

fkr_first_name(n, sex = c("any", "male", "female"))

Arguments

n

Number of names to generate. A single non-negative whole number.

sex

Restrict the draw to "male" or "female" names, or "any" (the default) to draw from both pools combined.

Value

A character vector of length n.

Examples

fkr_first_name(5)
fkr_first_name(5, sex = "female")

Generate full Filipino names

Description

Combines fkr_first_name() and fkr_last_name(), optionally with a middle initial, in the common Filipino "First Middle. Last" convention.

Usage

fkr_full_name(n, sex = c("any", "male", "female"), middle_initial = FALSE)

Arguments

n

Number of names to generate. A single non-negative whole number.

sex

Restrict the given name to "male", "female", or "any" (default).

middle_initial

If TRUE, include a random middle initial (e.g. "Juan D. Dela Cruz"). Default FALSE.

Value

A character vector of length n.

Examples

fkr_full_name(5)
fkr_full_name(5, sex = "male", middle_initial = TRUE)

Generate industry names

Description

Draws from industries prominent in the Philippine economy (e.g. BPO, agriculture, remittance services).

Usage

fkr_industry(n)

Arguments

n

Number of values to generate. A single non-negative whole number.

Value

A character vector of length n.

Examples

fkr_industry(5)

Generate whole numbers

Description

Draws integers uniformly at random between min and max, inclusive.

Usage

fkr_int(n, min = 0, max = 100)

Arguments

n

Number of values to generate. A single non-negative whole number.

min

Minimum value (inclusive). Default 0.

max

Maximum value (inclusive). Default 100. Must be ⁠>= min⁠.

Value

An integer vector of length n.

Examples

fkr_int(5)
fkr_int(5, min = 18, max = 65)

Generate job titles

Description

Generate job titles

Usage

fkr_job_title(n)

Arguments

n

Number of values to generate. A single non-negative whole number.

Value

A character vector of length n.

Examples

fkr_job_title(5)

Generate Philippine landline numbers

Description

Draws landline numbers using real area codes for Metro Manila and a curated set of major provincial cities.

Usage

fkr_landline_number(n, area_code = NULL)

Arguments

n

Number of landline numbers to generate. A single non-negative whole number.

area_code

Optional city name to restrict the area code to (one of names(fkr:::.ph_landline_area_codes), e.g. "Cebu", "Davao"). If NULL (default), a city is drawn at random for each number.

Value

A character vector of length n, formatted as "(area code) subscriber number", e.g. "(02) 8123 4567" or "(032) 234 5678".

Examples

fkr_landline_number(5)
fkr_landline_number(3, area_code = "Cebu")

Generate Filipino last names (surnames)

Description

Draws n surnames from the ~1,000 most common Philippine surnames, ranked by real-world frequency (Spanish-derived names like "Dela Cruz", "Garcia", and "Reyes" dominate the Philippine namescape). By default the draw is weighted by that ranking, so rank-1 surnames come up far more often than rank-1000 ones, the way they would in an actual population sample.

Usage

fkr_last_name(n, weighted = TRUE)

Arguments

n

Number of surnames to generate. A single non-negative whole number.

weighted

If TRUE (default), weight the draw by real-world frequency rank. If FALSE, draw uniformly from all ~1,000 surnames.

Value

A character vector of length n.

Examples

fkr_last_name(5)
fkr_last_name(5, weighted = FALSE)

Generate Philippine mobile numbers

Description

Draws mobile numbers using real network prefixes (Smart/TNT, Globe/TM, or DITO).

Usage

fkr_mobile_number(
  n,
  network = c("any", "smart", "globe", "dito"),
  format = c("local", "international")
)

Arguments

n

Number of mobile numbers to generate. A single non-negative whole number.

network

Restrict the draw to "smart", "globe", or "dito" prefixes, or "any" (default) to mix all networks.

format

"local" (default) returns "09XXXXXXXXX"; "international" returns "+639XXXXXXXXX".

Value

A character vector of length n.

Examples

fkr_mobile_number(5)
fkr_mobile_number(5, network = "globe", format = "international")

Generate multiple-response (select-all-that-apply) values

Description

Simulates a "select all that apply" survey item: each generated value is one or more entries from values combined together, e.g. with values = LETTERS[1:4] a result might be "A", "AC", or "ABCD". Selected entries always keep their original order from values (so "AC" can occur but "CA" cannot), and never repeat within a single generated value.

Usage

fkr_multiple_response(n, values, multiple = TRUE, sep = "")

Arguments

n

Number of values to generate. A single non-negative whole number.

values

A non-empty vector of candidate entries, with no NAs, to combine (e.g. LETTERS[1:4], or option labels like c("Email", "Phone", "SMS")).

multiple

If TRUE (default), each generated value may combine more than one entry from values. If FALSE, exactly one entry is drawn per value, as in a single-response ("select one") item.

sep

String used to join multiple selected entries together. Default "", which reads naturally when values are single characters (e.g. "AC"); for multi-character values, pass something like sep = ", " to keep entries distinguishable (e.g. "Email, SMS").

Details

The number of entries selected for each value is drawn uniformly from 1:length(values) (not uniformly over all non-empty subsets), so picking exactly 1 entry is just as likely as picking all of them.

Value

A character vector of length n.

Examples

fkr_multiple_response(5, values = LETTERS[1:4])
fkr_multiple_response(5, values = c("Email", "Phone", "SMS"), sep = ", ")
fkr_multiple_response(5, values = LETTERS[1:4], multiple = FALSE)

Generate numbers

Description

Draws numbers uniformly at random between min and max.

Usage

fkr_num(n, min = 0, max = 1, decimals = 2)

Arguments

n

Number of values to generate. A single non-negative whole number.

min

Minimum value (inclusive). Default 0.

max

Maximum value (inclusive). Default 1. Must be ⁠>= min⁠.

decimals

Number of decimal places to round to. Default 2.

Value

A numeric vector of length n.

Examples

fkr_num(5)
fkr_num(5, min = 0, max = 100, decimals = 1)

Generate Pag-IBIG (HDMF) number-style identifiers

Description

Produces values matching the NNNN-NNNN-NNNN format used by the Home Development Mutual Fund (Pag-IBIG Fund). The digits are uniformly random and do not correspond to any real member; see the package-level disclaimer in ?fkr.

Usage

fkr_pagibig_number(n)

Arguments

n

Number of values to generate. A single non-negative whole number.

Value

A character vector of length n.

Examples

fkr_pagibig_number(5)

Generate PhilHealth number-style identifiers

Description

Produces values matching the NN-NNNNNNNNN-N format used by the Philippine Health Insurance Corporation. The digits are uniformly random and do not correspond to any real member; see the package-level disclaimer in ?fkr.

Usage

fkr_philhealth_number(n)

Arguments

n

Number of values to generate. A single non-negative whole number.

Value

A character vector of length n.

Examples

fkr_philhealth_number(5)

Generate PhilSys Number (PSN) card-style identifiers

Description

Produces values matching the NNNN-NNNN-NNNN-NNNN format printed on the Philippine national ID (PhilSys). The digits are uniformly random and do not correspond to any real registrant; see the package-level disclaimer in ?fkr.

Usage

fkr_philsys_number(n)

Arguments

n

Number of values to generate. A single non-negative whole number.

Value

A character vector of length n.

Examples

fkr_philsys_number(5)

Generate prices in Philippine pesos

Description

Draws prices on a log scale between min and max so that, like real retail pricing, low values are much more common than high ones.

Usage

fkr_price(n, min = 10, max = 10000, format = c("currency", "numeric"))

Arguments

n

Number of values to generate. A single non-negative whole number.

min

Minimum price. Default 10.

max

Maximum price. Default 10000. Must be greater than min.

format

"currency" (default) returns a formatted character vector like "PHP 1,234.56"; "numeric" returns a raw numeric vector rounded to 2 decimal places.

Value

A character vector (if format = "currency") or numeric vector (if format = "numeric") of length n.

Examples

fkr_price(5)
fkr_price(5, min = 100, max = 500, format = "numeric")

Generate product names

Description

Draws from a curated list of products typical of Philippine retail and sari-sari (small variety) stores.

Usage

fkr_product(n)

Arguments

n

Number of values to generate. A single non-negative whole number.

Value

A character vector of length n.

Examples

fkr_product(5)

Generate Philippine provinces

Description

Generate Philippine provinces

Usage

fkr_province(n, region = NULL)

Arguments

n

Number of values to generate. A single non-negative whole number.

region

Optional region name to restrict the draw to (one of fkr_region()'s possible outputs).

Value

A character vector of length n.

Examples

fkr_province(5)
fkr_province(5, region = "Region VII (Central Visayas)")

Generate Philippine Standard Geographic Code (PSGC) codes

Description

Draws real PSGC codes – the Philippine Statistics Authority's official hierarchical coding system for regions, provinces, cities, municipalities, and barangays – at the requested level, optionally restricted to a specific region/province/city.

Usage

fkr_psgc_code(
  n,
  level = c("city", "region", "province", "municipality", "barangay"),
  region = NULL,
  province = NULL,
  city = NULL
)

Arguments

n

Number of codes to generate. A single non-negative whole number.

level

Geographic level of the code: "region", "province", "city", "municipality", or "barangay". Default "city".

region

Optional region name to restrict the draw to (see fkr_region()).

province

Optional province name to restrict the draw to (see fkr_province()).

city

Optional city/municipality name to restrict the draw to (useful with level = "barangay" to get barangay codes within a specific city, or on its own to look up a specific city's code).

Details

Codes are fetched live via the psgc package (which caches its data locally after the first call) and kept in memory for the rest of the R session, so the first call in a session may require network access.

Value

A character vector of length n of 9- or 10-digit PSGC codes.

Examples


fkr_psgc_code(5)
fkr_psgc_code(5, level = "region")
fkr_psgc_code(5, level = "barangay", city = "Davao City")

Generate PSIC-classified industries

Description

Draws industry/economic-activity titles from the Philippine Standard Industrial Classification (PSIC), the Philippine Statistics Authority's official industry taxonomy (aligned with ISIC Rev. 4), together with their real classification code. Complements fkr_industry(), which draws from an informal, uncoded list.

Usage

fkr_psic_industry(
  n,
  level = c("divisions", "sections", "groups", "classes", "sub-classes"),
  section = NULL
)

Arguments

n

Number of industries to generate. A single non-negative whole number.

level

PSIC hierarchy level to draw from: "sections" (broadest, e.g. "Manufacturing"), "divisions", "groups", "classes", or "sub-classes" (most specific). Default "divisions".

section

Optional section title to restrict the draw to (e.g. "Manufacturing", "Construction"). See fkr_psic_industry()'s section output column for valid values.

Details

Data is fetched live via the phscs package (which caches its data locally after the first call) and kept in memory for the rest of the R session, so the first call in a session may require network access.

Value

A data.frame with n rows and columns title (the industry/activity title), psic_code (its PSIC code), and section (its top-level PSIC section title).

Examples


fkr_psic_industry(5)
fkr_psic_industry(5, level = "sections")
fkr_psic_industry(5, section = "Manufacturing")

Generate PSOC-classified occupations

Description

Draws occupation titles from the Philippine Standard Occupational Classification (PSOC), the Philippine Statistics Authority's official occupational taxonomy (aligned with ISCO-08), together with their real classification code.

Usage

fkr_psoc_occupation(
  n,
  level = c("unit", "minor", "sub-major", "major"),
  major_group = NULL
)

Arguments

n

Number of occupations to generate. A single non-negative whole number.

level

PSOC hierarchy level to draw from: "unit" (most specific, e.g. "Finance managers"), "minor", "sub-major", or "major" (broadest, e.g. "Managers"). Default "unit".

major_group

Optional major-group title to restrict the draw to (e.g. "Professionals", "Elementary Occupations"). See fkr_psoc_occupation()'s major_group output column for valid values.

Details

Data is fetched live via the phscs package (which caches its data locally after the first call) and kept in memory for the rest of the R session, so the first call in a session may require network access.

Value

A data.frame with n rows and columns title (the occupation/group title), psoc_code (its PSOC code), and major_group (its top-level PSOC major-group title).

Examples


fkr_psoc_occupation(5)
fkr_psoc_occupation(5, level = "major")
fkr_psoc_occupation(5, major_group = "Professionals")

Generate Philippine regions

Description

Generate Philippine regions

Usage

fkr_region(n)

Arguments

n

Number of values to generate. A single non-negative whole number.

Value

A character vector of length n, drawn from the Philippines' 17 administrative regions.

Examples

fkr_region(5)

Seed fkr's random number generation

Description

A thin, self-documenting wrapper around set.seed() so a whole sequence of ⁠fkr_*()⁠ calls can be made reproducible.

Usage

fkr_seed(seed)

Arguments

seed

A single whole number.

Value

NULL, invisibly. Called for its side effect.

Examples

fkr_seed(123)
fkr_first_name(3)

Generate biological sex

Description

Generate biological sex

Usage

fkr_sex(n, levels = c("Male", "Female"))

Arguments

n

Number of values to generate. A single non-negative whole number.

levels

Labels to use for the two sexes, as c(male_label, female_label). Defaults to c("Male", "Female").

Value

A character vector of length n.

Examples

fkr_sex(5)

Generate SSS number-style identifiers

Description

Produces values matching the NN-NNNNNNN-N format used by the Philippine Social Security System. The digits are uniformly random and do not correspond to any real SSS member; see the package-level disclaimer in ?fkr.

Usage

fkr_sss_number(n)

Arguments

n

Number of values to generate. A single non-negative whole number.

Value

A character vector of length n.

Examples

fkr_sss_number(5)

Generate street addresses

Description

Generates a house/unit number followed by a common Philippine street name and street type (e.g. "482 Mabini Street").

Usage

fkr_street_address(n)

Arguments

n

Number of values to generate. A single non-negative whole number.

Value

A character vector of length n.

Examples

fkr_street_address(5)

Generate TIN-style identifiers

Description

Produces values matching the NNN-NNN-NNN-NNN format used for Philippine Bureau of Internal Revenue Tax Identification Numbers. The digits are uniformly random and do not correspond to any real taxpayer; see the package-level disclaimer in ?fkr.

Usage

fkr_tin_number(n)

Arguments

n

Number of values to generate. A single non-negative whole number.

Value

A character vector of length n.

Examples

fkr_tin_number(5)

Generate UUIDs

Description

Generates random (version 4, RFC 4122) universally unique identifiers.

Usage

fkr_uuid(n, version = 4)

Arguments

n

Number of UUIDs to generate. A single non-negative whole number.

version

UUID version to generate. Only 4 (random) is currently supported.

Value

A character vector of length n, formatted as "xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx" (lowercase hex, with the version nibble fixed to 4 and the variant nibble one of 8, 9, a, b).

Examples

fkr_uuid(5)

Generate Philippine ZIP codes

Description

Generate Philippine ZIP codes

Usage

fkr_zip_code(n, province = NULL, city = NULL)

Arguments

n

Number of values to generate. A single non-negative whole number.

province

Optional province name to restrict the draw to.

city

Optional city/municipality name to restrict the draw to.

Value

A character vector of length n of 4-digit ZIP codes.

Examples

fkr_zip_code(5)
fkr_zip_code(5, city = "Davao City")