Skip to contents

Do the the data.frames have the same columns & types?

Source: R/compare_df_cols.R
compare_df_cols_same.Rd

Check whether a set of data.frames are row-bindable. Calls compare_df_cols() and returns TRUE if there are no mis-matching rows.

Usage

compare_df_cols_same(
  ...,
  bind_method = c("bind_rows", "rbind"),
  verbose = TRUE
)

Arguments

...

A combination of data.frames, tibbles, and lists of data.frames/tibbles. The values may optionally be named arguments; if named, the output column will be the name; if not named, the output column will be the data.frame name (see examples section).

bind_method

What method of binding should be used to determine matches? With "bind_rows", columns missing from a data.frame would be considered a match (as in dplyr::bind_rows(); with "rbind", columns missing from a data.frame would be considered a mismatch (as in base::rbind().

verbose

Print the mismatching columns if binding will fail.

Value

TRUE if row binding will succeed or FALSE if it will fail.

See also

Other data frame type comparison: compare_df_cols(), describe_class()

Examples

compare_df_cols_same(data.frame(A = 1), data.frame(A = 2))
#> [1] TRUE
compare_df_cols_same(data.frame(A = 1), data.frame(B = 2))
#> [1] TRUE
compare_df_cols_same(data.frame(A = 1), data.frame(B = 2), verbose = FALSE)
#> [1] TRUE
compare_df_cols_same(data.frame(A = 1), data.frame(B = 2), bind_method = "rbind")
#>   column_name     ..1     ..2
#> 1           A numeric    <NA>
#> 2           B    <NA> numeric
#> [1] FALSE