Verify equivalent structure of two dataset — data_frame_compare

Compare two datasets and throw an error if they have different (a) column counts, (b) column names, and (c) column class

data_frame_compare_structure(d_original, d_current, datestamp_ignore = FALSE)

Arguments

d_original: A data.frame that serves as the existing metadata file that potentially needs to be updated. Required.
d_current: A data.frame that contains records potentially missing from d_original. Required.
datestamp_ignore: A logical value indicating whether to ignore a column called datestamp. Defaults to FALSE.

Value

If all check pass, and invisible TRUE is returned.

Note

The datestamp column is used in metadata operations like metadata_update_file() and data_frame_stack_new(). In these functions, the datestamp column does not have to be present.

Author

Will Beasley

Examples

# A conventional comparison.
ds_original_1 <- tibble::tibble(
  x1  = c(1, 3, 4),
  x2  = letters[c(1, 3, 4)],
  x3  = c(11, 13, 14)
)
ds_current <- tibble::tibble(
  x1  = c(1:5, 1, 5),
  x2  = c(letters[1:5], "x", "y"),
  x3  = c(11, 12, 13, 14, 15, 11, 15)
)
data_frame_compare_structure(ds_original_1, ds_current)

# When comparing metadata w/ datestamp.
ds_original_2 <- tibble::tibble(
  x1  = c(1, 3, 4),
  x2  = letters[c(1, 3, 4)],
  x3  = c(11, 13, 14),
  datestamp = Sys.Date()
)
data_frame_compare_structure(ds_original_2, ds_current, datestamp_ignore = TRUE)