Convert a tibble (or data.frame) of extract definitions, such as that returned by get_recent_extracts_info_tbl(), to a list of ipums_extract objects. For an overview of ipumsr microdata API functionality, see vignette("ipums-api", package = "ipumsr").

extract_tbl_to_list(extract_tbl, validate = TRUE)

Arguments

extract_tbl

A tibble (or data.frame) where each row contains the definition of one extract.

validate

Logical (TRUE or FALSE) value indicating whether to check that each row of extract_tbl contains a valid and complete extract definition. Defaults to TRUE.

Value

A list of length equal to the number of rows of extract_tbl.

Examples

if (FALSE) {
# Get tibble of recent extracts
tbl_of_last_10_extracts <- get_recent_extracts_info_tbl("usa")

# Filter down to extracts with "income" in the description
description_mentions_income <- grepl(
  "[Ii]ncome",
  tbl_of_last_10_extracts$description
)
income_extracts <- tbl_of_last_10_extracts[description_mentions_income, ]

# Convert tibble of extracts to list of extracts
income_extracts <- extract_tbl_to_list(income_extracts)

# Now it's easier to operate on those elements as extract objects:
revised_income_extract <- add_to_extract(
  income_extracts[[1]],
  samples = "us2018a"
)

submitted_revised_income_extract <- submit_extract(revised_income_extract)
}