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Slight reversal to the breaking change before: I had forgotten I was already allowing different group_vars in x and y via providing named group_vars for intervalintersect so this functionality is turned back on. Naming either interval_vars or group_vars in the intervalintersect function is still explicitly disallowed since the functionality of allowing different join column names in x and y for that function is still not implemented.
Rewrote some internals of the intervalintersect function and added a few additional tests. This, combined with the major rewrite of the intervalaverage function in 9009, should hopefully resolve the memory issues that were occurring i386 windows during R CMD CHECK.
POTENTIALLY BREAKING CHANGE: interval_vars and group_vars arguments cannot have names for the intervalaverage function. This is to allow for a future release where x and y could have differently named interval and/or grouping columns. Additionally, in the intervalintersect function group_vars cannot have names for the same reason. intervalintersect already allows for different interval_vars names in x and y via this exact scheme, so named interval_vars arguments to intervalintersect are obviously still allowed.
Turned off some tests when building on CRAN that are likely never going to pass on i386 due to memory issues with the slower non-exported testing/validation function (interval_average_slow_f).
1 . Minor improvements in documentation (readme,intro vignette)
Interval columns used by intervalaverage,
intervalintersect, and isolateoverlaps
functions (i.e. those columns of x and y
specified by the interval_vars argument in all of those
functions) must now be of either class integer or
IDate. This is a change from previous where columns of
class Date were allowed. Date objects could
have hidden decimals which might cause problems in this function which
is written to deal with only discrete time. Changing Dates to IDates
should fix existing code.
intervalaverage now restores the keys of x and y to
their state prior to the function call if x and y are not already keyed
on c(group_vars,interval_vars) and prints a message recommending that
the keys be set first (to avoid unsetting the key at the end of the
function if you don’t care about the order). This is a breaking change
only if code relied on intervalaverage changing the
key.
isolateoverlaps no longer sets the key of x internal
to the function as this was never necessary for the foverlaps call to
work. This should reduce the possibility of side-effects for this
function even though x is still passed by reference. This fixes the
problem that the key of x might changed if the function returns an error
(the function was already written to restore the key of x if it
successfully completed).
CJ.dt no longer passes-by-references the data.tables provided as
arguments in ...; While this may add some more memory usage
and processing time to copy the table, it really shouldn’t matter since
if you don’t have memory to copy a table you don’t have memory to
cartesian join it with another table.
is.overlapping now restores the key and column order
of x to its original state even if the function returns an
error.
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They may not be fully stable and should be used with caution. We make no claims about them.