Convert Vintages Data to Long Format — vintages

Converts a vintages dataset from wide format to long format, optionally adding id if the input is a list of data frames. The long format contains one row per combination of time and names_to (e.g., pub_date or release), with values stored in a single value column.

Usage

vintages_long(df, names_to = "pub_date", keep_na = FALSE)

Arguments

df: A data frame, tibble, or list of data frames containing vintages data in wide format.
names_to: The name of the column to create from the wide-format column names. Must be either "pub_date" (default) or "release".
keep_na: Logical. If TRUE, retains rows with NA values in the value column. Default is FALSE.

Value

A long-format data frame or tibble. If the input is a list of wide-format data frames, the output will be a single combined long-format data frame.

Examples

# Example wide-format data
long_data <- dplyr::filter(reviser::gdp, id=="US")

# Convert to wide format
wide_data <- vintages_wide(long_data)

# Example list of wide-format data frames
wide_list <- list(
  A = wide_data$US,
  B = wide_data$US
)

# Convert list to long format
long_data <- vintages_long(wide_list, names_to = "pub_date")