Package {phscs}

Type: Package
Title: Philippine Statistical Classification Systems
Version: 0.2.0
Description: A unified interface to access and manipulate various Philippine statistical classifications. It allows users to retrieve, filter, and harmonize classification data, making it easier to work with Philippine statistical data in R.
Author: Bhas Abdulsamad ORCID iD [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, psgc
Suggests: jsonlite, testthat (≥ 3.0.0), gt, rmarkdown, knitr, usethis
Config/testthat/edition: 3
RoxygenNote: 7.3.3
Depends: R (≥ 3.5)
VignetteBuilder: knitr
BugReports: https://github.com/yng-me/phscs/issues
URL: https://yng-me.github.io/phscs/, https://github.com/yng-me/phscs
NeedsCompilation: no
Packaged: 2026-05-13 14:36:03 UTC; bhasabdulsamad
Repository: CRAN
Date/Publication: 2026-05-13 15:10:02 UTC

Philippine Classification of Individual Consumption According to Purpose (PCOICOP)

Description

Philippine Classification of Individual Consumption According to Purpose (PCOICOP)

Usage

get_pcoicop(version = NULL, level = NULL, minimal = TRUE, cols = NULL)

Arguments

version

Character. Version of the PCOICOP dataset. Default is the latest available ("2020"). Use "2009" for the 2009 edition.

level

Character. Classification level: "all", "divisions", "groups", "class", "sub-class", "item", or "subitem" (default).

minimal

Logical. If TRUE (default), returns only value and label columns.

cols

Optional character vector of additional columns to include ("description" is the only extra column available).

Value

A data frame of PCOICOP classifications.

References

https://psa.gov.ph/classification/pcoicop

Examples

pcoicop <- get_pcoicop()
pcoicop_divisions <- get_pcoicop(level = "divisions")

Philippine Central Product Classification (PCPC)

Description

Philippine Central Product Classification (PCPC)

Usage

get_pcpc(version = NULL, level = NULL, minimal = TRUE, cols = NULL)

Arguments

version

Character. Version of the PCPC dataset. Default is the latest available ("2002").

level

Character. Classification level: "all", "sections", "divisions", "groups", "classes", "sub-classes", or "item" (default).

minimal

Logical. If TRUE (default), returns only value and label columns.

cols

Optional character vector of additional columns to include ("description" is the only extra column available).

Value

A data frame of PCPC classifications.

References

https://psa.gov.ph/classification/pcpc

Examples

pcpc <- get_pcpc()
pcpc_sections <- get_pcpc(level = "sections")

Philippine Standard Commodity Classification System (PSCCS)

Description

Philippine Standard Commodity Classification System (PSCCS)

Usage

get_psccs(version = NULL, level = NULL, minimal = TRUE, cols = NULL)

Arguments

version

Character. Version of the PSCCS dataset. Default is the latest available ("2018").

level

Character. Classification level: "all", "section", "divisions", "groups", "classes", or "sub-classes" (default).

minimal

Logical. If TRUE (default), returns only value and label columns.

cols

Optional character vector of additional columns to include ("description" is the only extra column available).

Value

A data frame of PSCCS classifications.

References

https://psa.gov.ph/classification/psccs

Examples

psccs <- get_psccs()
psccs_sections <- get_psccs(level = "section")

Philippine Standard Classification of Education (PSCED)

Description

Philippine Standard Classification of Education (PSCED)

Usage

get_psced(version = NULL, level = NULL, minimal = TRUE, cols = NULL)

Arguments

version

Character. Version of the PSCED dataset. Default is the latest available ("2017").

level

Character. Classification level: "all", "levels", "broadfield", "narrowfield", or "detailedfield" (default).

minimal

Logical. If TRUE (default), returns only value and label columns.

cols

Optional character vector of additional columns to include ("description" is the only extra column available).

Value

A data frame of PSCED classifications.

References

https://psa.gov.ph/classification/psced

Examples

psced <- get_psced()
psced_levels <- get_psced(level = "levels")

Philippine Standard Geographic Code (PSGC)

Description

Re-exported from the psgc package. See get_psgc for full documentation.

Usage

get_psgc(
  release = latest_release(),
  geographic_level = NULL,
  include_population_data = FALSE
)

Arguments

release

A release name from [list_releases()]. Defaults to [latest_release()].

geographic_level

A character vector of geographic levels to filter by. Accepts canonical codes ('"Reg"', '"Prov"', '"City"', '"Mun"', '"SubMun"', '"Bgy"') as well as common aliases such as '"Region"', '"Province"', '"Municipality"', '"Barangay"', '"Sub-Municipality"', etc. Use '"city_mun"' (or aliases like '"City-Municipality"') to include both cities and municipalities. 'NULL' (default) returns all levels.

include_population_data

Logical. If 'TRUE', census population figures are joined onto the result, adding 'population' (integer) and 'year' columns. Each geographic unit produces one row per available census year. Defaults to 'FALSE'.

Value

A data frame of PSGC geographic data.

References

https://psa.gov.ph/classification/psgc

Examples

psgc <- get_psgc()
psgc_regions <- get_psgc(geographic_level = "region")

Philippine Standard Industrial Classification (PSIC)

Description

Philippine Standard Industrial Classification (PSIC)

Usage

get_psic(version = NULL, level = NULL, minimal = TRUE, cols = NULL)

Arguments

version

Character. Version of the PSIC dataset. Default is the latest available ("2019").

level

Character. Classification level: "all", "sections", "divisions", "groups", "classes", or "sub-classes" (default).

minimal

Logical. If TRUE (default), returns only value and label columns.

cols

Optional character vector of additional columns to include ("description" is the only extra column available).

Value

A data frame of PSIC classifications.

References

https://psa.gov.ph/classification/psic

Examples

psic <- get_psic()
psic_sections <- get_psic(level = "sections")

Philippine Standard Occupational Classification (PSOC)

Description

Philippine Standard Occupational Classification (PSOC)

Usage

get_psoc(version = NULL, level = NULL, minimal = TRUE, cols = NULL)

Arguments

version

Character. Version of the PSOC dataset. Default is the latest available ("2012").

level

Character. Classification level: "all", "major", "sub-major", "minor", or "unit" (default).

minimal

Logical. If TRUE (default), returns only value and label columns.

cols

Optional character vector of additional columns to include ("description" is the only extra column available).

Value

A data frame of PSOC classifications.

References

https://psa.gov.ph/classification/psoc

Examples

psoc <- get_psoc()
psoc_major <- get_psoc(level = "major")

Shorten region name

Description

This function shortens the region names in a PSGC data frame.

Usage

shorten_region_name(data, which = c("label", "number"), col = "area_name")

Arguments

data

A data frame containing PSGC data.

which

Character. Specifies whether to shorten the region name by label or number. Options are "label" or "number".

col

Character. The name of the column containing the area names. Default is "area_name".

Value

A data frame with the region names shortened based on the specified which argument.

Examples

regions <- get_psgc(geographic_level = "region")
shorten_region_name(regions)
shorten_region_name(regions, which = "number")