NEWS
sdcLog 0.5.0 (2022-03-19)
Improvements
- SDC Results are now presented using {cli} instead of {crayon}. This made it
possible to improve the overall readability of the SDC results.
- All
sdc_*
functions gain the new argument fill_id_var
. This makes output
control easier in specific cases where you need to check an identifier with
many missing values. See
this discussion for
details.
- For
options(sdc.info_level = 2)
, the information on dominance now prints the
dominance, similar to the number of distinct identifiers.
sdcLog 0.4.0 (2021-10-08)
Improvements
- Introduction of mathjaxr to
improve the quality and readability of the help files.
- lintr induced cleanup of the
code base.
Bug Fixes
- Fixed https://github.com/matthiasgomolka/sdcLog/issues/79.
- Fixed https://github.com/matthiasgomolka/sdcLog/issues/83.
- Fixed https://github.com/matthiasgomolka/sdcLog/issues/75.
sdcLog 0.3.0 (2021-07-22)
Possibly Breaking Changes
- The objects returned by
sdc_*()
functions now contain options and settings
in a much better structure. Before, it was a bunch of strings which could be
pasted together. Now, it's a list holding only the relevant values. The print
output remained almost identical (minor improvements) due to new print
methods.
Improvements
as.data.table()
in sdc_*()
functions is now conditional so that it's only
called when data
is not a data.table
yet. This can save memory and improve
performance.
sdc_model()
gained the new argument local
(like in source()
), which
allows new use cases. Thanks to Pantelis Karapanagiotis for the PR!
Bug Fixes
sdc_model()
no longer returns wrong results for felm
models when the
id_var
is used for clustering.
sdcLog 0.2.0 (2021-02-16)
Possibly Breaking Changes
- The
by
argument in sdc_descriptives()
and sdc_extreme()
now only accepts
character input. This makes the code more robust and easier to maintain.
- the structure of objects of type
sdc_model
is simplified (terms
instead of
dummies
and interactions
)
sdc_extreme()
now return the number of distinct ID's (instead of number of
observations) used to calculate the extreme values
Features
- support for interaction terms in
sdc_model()
- support for checking continuous variables in
sdc_model()
sdc_model()
now checks if data
was actually used to create model
(this
only works if model
has a suitable S3 method for model.frame()
)
- the argument
id_var
now takes the default value of getOption("sdc.id_var")
in all functions, which makes it possible to use options(sdc.id_var = "id")
at the top of a script and save some typing
- performance improvement for
check_dominance()
(and therefore in
sdc_descriptives()
and sdc_extreme()
)
Bug Fixes
check_dominance()
now handles negative values correctly (as abs()
)
sdcLog 0.1.0 (2020-11-20)
- Added a
NEWS.md
file to track changes to the package.