Combine datasets using dplyr's bind and join functions
Combine datasets using dplyr's bind and join functions
combine_data( x, y, by = "", add = "", type = "inner_join", data_filter = "", envir = parent.frame(), ... )
x |
Dataset |
y |
Dataset to combine with x |
by |
Variables used to combine 'x' and 'y' |
add |
Variables to add from 'y' |
type |
The main bind and join types from the dplyr package are provided. inner_join returns all rows from x with matching values in y, and all columns from x and y. If there are multiple matches between x and y, all match combinations are returned. left_join returns all rows from x, and all columns from x and y. If there are multiple matches between x and y, all match combinations are returned. right_join is equivalent to a left join for datasets y and x. full_join combines two datasets, keeping rows and columns that appear in either. semi_join returns all rows from x with matching values in y, keeping just columns from x. A semi join differs from an inner join because an inner join will return one row of x for each matching row of y, whereas a semi join will never duplicate rows of x. anti_join returns all rows from x without matching values in y, keeping only columns from x. bind_rows and bind_cols are also included, as are intersect, union, and setdiff. See https://radiant-rstats.github.io/docs/data/combine.html for further details |
data_filter |
Expression used to filter the dataset. This should be a string (e.g., "price > 10000") |
envir |
Environment to extract data from |
... |
further arguments passed to or from other methods |
See https://radiant-rstats.github.io/docs/data/combine.html for an example in Radiant
Combined dataset
avengers %>% combine_data(superheroes, type = "bind_cols") combine_data(avengers, superheroes, type = "bind_cols") avengers %>% combine_data(superheroes, type = "bind_rows") avengers %>% combine_data(superheroes, add = "publisher", type = "bind_rows")
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