Add anti_join() function.
Add unmask_joyn() function to unmask joyn functions that mask dplyr equivalents.
Add information about duplicated obs in by variable when match type is 1 rathern than m.
improve inefficiencies in deep copies with m:m joins
Replace m:m joins from data.table::merge.data.table to collapse::join. Thanks to @SebKrantz for the suggestion (#58).
Add information about duplicated obs in by variable when match type is 1 rather than m.
Internal: improve storing of joyn messages.
Improve creation of reporting variable. Now, it is created in [collapse::join] rather than in joyn function. In addition, the reporting variable is created as factor to improve performance. Thanks to @SebKrantz for the suggestion (#58)
Now, by default, joyn will not sort the data. This is to avoid unnecessary
computational time that most of the time is not needed.
If the user wants to sort the data, they can use the sort argument, which triggers
the sorting mechanism of collapse package.
report variable (named ".join" by default) is now a factor instead of character. Yet, users can still use character if they want with the reporttype = "character".
joyn has gained two new authors: Zander Prinsloo and Rossana Tatulli.Function joyn::merge() was replaced by joyn::joyn(). This is now the main function of the joyn package.
Arguments allow.cartesian, yvars, and keep_y_in_x have been deprecated. The latter two have been replaced by y_vars_to_keep and keep_common_vars, respectively. The new argument names bring more clarity about what they arguments do.
New function joyn::merge() works as a mask for the base::merge() or data.table::merge.data.table(). joyn::merge() has the same features as the previous two, but includes the features of joyn::joyn().
Messages style have been improved and categorized. See message vignette for more information.
New functions to mimic dplyr joins. The joyn variants have all the features for joyn::joyn() but lack some of the most advance features of dplyr joins like joyn::join_by()
update_NAs now could be FALSE even if update_values is TRUE
Select rows-to-keep before transformation of updated values and NAs to avoid keeping rows from y that did not match in x but whose values got updated because update_values = TRUE
Change to data.table::merge.data.table syntax in all joins. It makes it easier to work with and consistent across different join types.
Remove previous lazy-loaded data.
possible_ids() to identify what variables are suitable for
uniquely identify the database.Add function is_id() to check whether the table is uniquely identified by
key variables
Add function freq_table() as a substitute for janitor::tabyl. This makes it
more convenient for users who do not have janitor installed.
Fix bug on by argument when using "=" or "==".
First Public release