Prints a venn-diagram style summary of the unique value overlap between two columns and also invisibly returns a dataframe that can be assigned to a variable and queried with the overlap helpers. The helpers can return values that appeared only the first col, second col, or both cols.
confirm_overlap(vec1, vec2, return_tibble = F)
co_find_only_in_1(co_output)
co_find_only_in_2(co_output)
co_find_in_both(co_output)vector 1
vector 2
logical. If TRUE, returns a tibble. otherwise by default returns the database invisibly to be queried by helper functions.
dataframe output from confirm_overlap
tibble. overlap summary or overlap table
confirm_overlap(iris$Sepal.Width, iris$Sepal.Length) -> iris_overlap
#> # A tibble: 1 × 5
#> only_in_iris_Sepal.Width only_in_iris_Sep… shared_names total_names pct_shared
#> <int> <int> <int> <int> <chr>
#> 1 22 34 1 57 2%
iris_overlap
#> # A tibble: 57 × 4
#> x iris_Sepal.Width iris_Sepal.Length both_flags
#> <dbl> <dbl> <dbl> <dbl>
#> 1 3.5 1 0 1
#> 2 3 1 0 1
#> 3 3.2 1 0 1
#> 4 3.1 1 0 1
#> 5 3.6 1 0 1
#> 6 3.9 1 0 1
#> 7 3.4 1 0 1
#> 8 2.9 1 0 1
#> 9 3.7 1 0 1
#> 10 4 1 0 1
#> # … with 47 more rows
iris_overlap %>%
co_find_only_in_1()
#> # A tibble: 22 × 1
#> iris_Sepal.Width
#> <dbl>
#> 1 3.5
#> 2 3
#> 3 3.2
#> 4 3.1
#> 5 3.6
#> 6 3.9
#> 7 3.4
#> 8 2.9
#> 9 3.7
#> 10 4
#> # … with 12 more rows
iris_overlap %>%
co_find_only_in_2()
#> # A tibble: 34 × 1
#> iris_Sepal.Length
#> <dbl>
#> 1 5.1
#> 2 4.9
#> 3 4.7
#> 4 4.6
#> 5 5
#> 6 5.4
#> 7 4.8
#> 8 4.3
#> 9 5.8
#> 10 5.7
#> # … with 24 more rows
iris_overlap %>%
co_find_in_both()
#> # A tibble: 1 × 1
#> x
#> <dbl>
#> 1 4.4