NEWS.md

safejoin 0.1.0

Functions :

• Safe versions of all dplyr and fuzzyjoin join functions
• eat function as an improved join to grow data frames

Different types of checks to be use in check argument through the following codes :

• "c" to check conflicts of columns
• "b" like "by" checks if by parameter was given explicitly
• "u" like unique to check that the join columns form an unique key on x
• "v" to check that the join columns form an unique key on y
• "m" like match to check that all rows of x have a match
• "n" to check that all rows of y have a match
• "e" like expand to check that all combinations of joining columns are present in x
• "f" to check that all combinations of joining columns are present in y
• "l" like levels to check that join columns are consistent in term of factor levels
• "t" like type to check that joining columns have same class and type

Solve conflict between columns by applying a function on pairs of conflicted columns through the conflict argument :

• regular functions like coalesce or tibble(to nest)
• the special value "patch" to keep values from rhs only when it matches

Features of eat

• It uses the ... argument to select columns from .y and leverages the select helpers from dplyr, allowing also things like renaming, negative selection, quasi-quotation...
• It can prefix new columns or rename them in a flexible way
• It can aggregate the rhs on the join columns through the argument .agg before joining
• It can join recursively to a list of tables
• It can .fill NA values from the rhs with a given value

Fuzzy joins special features:

• match_fun supports formula notation
• A simpler syntax renders obsolete the pair of multi_by and multi_match_fun from the fuzzyjoin package, the by argument should use a formula such as ~ X("var1") > Y("var2") & X("var3") < Y("var4"), it can either return a logical vector or a data.frame containing a logical first column and other columns that will be added to the result