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ipumsr (version 0.8.2)

ipums_bind_rows: Bind multiple data frames by row, preserving labelled attributes

Description

Analogous to dplyr::bind_rows(), but preserves the labelled attributes provided with IPUMS data.

Usage

ipums_bind_rows(..., .id = NULL)

Value

Returns the same type as the first input. Either a data.frame, tbl_df, or grouped_df

Arguments

...

Data frames or tibbles to combine. Each argument can be a data frame or a list of data frames. When binding, columns are matched by name. Missing columns will be filled with NA.

.id

The name of an optional identifier column. Provide a string to create an output column that identifies each input. The column will use names if available, otherwise it will use positions.

Examples

Run this code
file <- ipums_example("nhgis0712_csv.zip")

d1 <- read_nhgis(
  file,
  file_select = 1,
  verbose = FALSE
)

d2 <- read_nhgis(
  file,
  file_select = 2,
  verbose = FALSE
)

# Variables have associated label attributes:
ipums_var_label(d1$PMSAA)

# Preserve labels when binding data sources:
d <- ipums_bind_rows(d1, d2)
ipums_var_label(d$PMSAA)

# dplyr `bind_rows()` drops labels:
d <- dplyr::bind_rows(d1, d2)
ipums_var_label(d$PMSAA)

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