vintages_wide: Convert Vintages Data to Wide Format

In reviser: Analyzing Revisions in Real-Time Time Series Vintages

Convert Vintages Data to Wide Format

Description

Converts a vintages dataset from long format to wide format, optionally grouping by id if present. The wide format uses one column per unique value of the names_from parameter, with observation dates (time) as rows and values (value) as cell contents.

Usage

vintages_wide(df, names_from = "pub_date")

Arguments

df	A data frame or tibble containing vintages data in long format.
names_from	The name of the column whose unique values will be used as column names in the wide format. Defaults to "pub_date". Other: "release".

Value

If an id column is present, the function returns a named list of wide-format data frames, one for each unique id. Otherwise, it returns a single wide-format data frame.

See Also

Other helpers: print.tbl_vintage(), summary.tbl_vintage(), tbl_sum.tbl_vintage(), tbl_vintage, validate_vintages(), vintages_long()

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_data1 <- vintages_long(wide_data, names_to = "pub_date")
long_data2 <- vintages_long(wide_list, names_to = "pub_date")

reviser documentation built on Sept. 14, 2026, 9:09 a.m.