ipumsr (version 0.8.2)

add_to_extract: Add values to an existing IPUMS extract definition

Description

Add or replace values in an existing ipums_extract object. This function is an S3 generic whose behavior will depend on the subclass (i.e. collection) of the extract being modified.

• To add to an IPUMS Microdata extract definition, click here. This includes:

  • IPUMS USA

  • IPUMS CPS

  • IPUMS International

  • IPUMS Time Use (ATUS, AHTUS, MTUS)

  • IPUMS Health Surveys (NHIS, MEPS)

• To add to an IPUMS NHGIS extract definition, click here

This function is marked as experimental because it is typically not the best option for maintaining reproducible extract definitions and may be retired in the future. For reproducibility, users should strive to build extract definitions with define_extract_micro() or define_extract_nhgis().

If you have a complicated extract definition to revise, but do not have the original extract definition code that created it, we suggest that you save the revised extract as a JSON file with save_extract_as_json(). This will create a stable version of the extract definition that can be used in the future as needed.

To remove existing values from an extract definition, use remove_from_extract().

Learn more about the IPUMS API in vignette("ipums-api").

Usage

add_to_extract(extract, ...)

Value

An object of the same class as extract containing the modified extract definition

Arguments

extract

An ipums_extract object.

...

Additional arguments specifying the extract fields and values to add to the extract definition.

All arguments available in define_extract_micro() (for microdata extract requests) or define_extract_nhgis() (for NHGIS extract requests) can be passed to add_to_extract().

See Also

remove_from_extract() to remove values from an extract definition.

define_extract_micro() or define_extract_nhgis() to define an extract request manually.

submit_extract() to submit an extract request for processing.

Examples

# Microdata extracts
usa_extract <- define_extract_micro(
  collection = "usa",
  description = "2013 ACS Data",
  samples = "us2013a",
  variables = c("SEX", "AGE", "YEAR")
)

# Add new samples and variables
add_to_extract(
  usa_extract,
  samples = c("us2014a", "us2015a"),
  variables = var_spec("MARST", data_quality_flags = TRUE)
)

# Update existing variables
add_to_extract(
  usa_extract,
  variables = var_spec("SEX", case_selections = "1")
)

# Modify/add multiple variables
add_to_extract(
  usa_extract,
  variables = list(
    var_spec("SEX", case_selections = "1"),
    var_spec("RELATE")
  )
)

# NHGIS extracts
nhgis_extract <- define_extract_nhgis(
  datasets = ds_spec(
    "1990_STF1",
    data_tables = c("NP1", "NP2"),
    geog_levels = "county"
  )
)

# Add a new dataset or time series table
add_to_extract(
  nhgis_extract,
  datasets = ds_spec(
    "1980_STF1",
    data_tables = "NT1A",
    geog_levels = c("county", "state")
  )
)

# Update existing datasets/time series tables
add_to_extract(
  nhgis_extract,
  datasets = ds_spec("1990_STF1", c("NP1", "NP2"), "state")
)

# Modify/add multiple datasets or time series tables
add_to_extract(
  nhgis_extract,
  time_series_tables = list(
    tst_spec("CW3", geog_levels = "state"),
    tst_spec("CW4", geog_levels = "state")
  )
)

# Values that can only take a single value are replaced
add_to_extract(nhgis_extract, data_format = "fixed_width")$data_format