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 The latter two have been
replaced by y_vars_to_keep and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
Solve issues #1 and #19
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