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The package is now released under the MIT license.
The ratio column in the output of
grim_map() and grim_map_seq() was replaced by
a probability column. This means:
Numerically, the only difference is that probability
is zero whenever ratio was negative.
Conceptually, it is much easier to interpret: it is the probability that a reported mean or percentage of integer data that has a specific number of decimal places but is otherwise random is GRIM-inconsistent with the reported sample size.
For example, probability is 0.6 for a mean
of 1.23 and a sample size of 40. The same is
true for any other mean with two decimal places. Thus, a randomly chosen
mean with two decimal places, ostensibly derived from integer data, has
a 0.6 probability of being GRIM-inconsistent with the reported sample
size.
In the functions around grim_ratio(), the
x argument must now be a string. This is consistent with
grim_map(), unround(), etc.; and it prevents
erroneous results that could previously occur by omitting trailing
zeros.
The GRIMMER implementation was debugged, so that
grimmer_map() etc. may now yield different results in a few
cases. In particular, the items argument now works
correctly, thanks to Aurélien Allard and Lukas Wallrich (#58).
is_seq_dispersed() now correctly returns
FALSE if different numbers of missing values at the start
and end of x mean that x cannot be dispersed
around from.
probability column (see above) is created by a new
function, grim_probability().As a consequence of the above, the show_prob
argument of grim_map() is now deprecated and will be
removed in a future version. It no longer has any effect.
grim_ratio_upper() is deprecated and will be removed
in a future version. It no longer seems very interesting (and likely
never was), especially now that the GRIM ratio in general has taken a
backseat.
All 15 (!) functions around is_subset_of() are
deprecated and will be removed in a future version. In truth, they were
always poorly written and widely out of scope for scrutiny.
All of these had been deprecated since scrutiny 0.3.0:
audit_list() was removed.
The sep argument in restore_zeros() and
restore_zeros_df() was removed.
The numeric_only argument in
duplicate_count() and duplicate_detect() was
removed.
The na.rm argument in
duplicate_count_colpair() was removed.
This version brings major performance improvements. Furthermore:
audit_seq(): If the
dispersion argument in the preceding call to a function
like grim_map_seq() was specified as something other than a
linearly increasing sequence, the "diff_*" columns in the
data frames returned by audit_seq() may have contained
incorrect values.audit_seq() and
reverse_map_seq() used to reconstruct the reported values
incorrectly if the dispersion default was overridden as
described above. At least for now, the issue is handled by throwing an
error if these functions operate on data frames that are the result of
specifying dispersion as something other than a linearly
increasing sequence.grim_map_seq(), other functions made by
function_map_seq(), as well as seq_disperse()
and seq_disperse_df() if an input value was so close to
out_min or out_max that the output sequence
would be shorter than implied by dispersion /
.dispersion , and if track_var_change /
.track_var_change (see below) was TRUE. Again,
note that the bug only occurred if an error was thrown.rounding argument that many scrutiny functions have:
vignette("rounding-options").vignette("consistency-tests-simple").grim_map_seq(),
grimmer_map_seq(), debit_map_seq() and any
other function made by function_map_seq() now has a
diff_var column that tracks the difference between the
dispersed variable (see the var column) and the reported
value. Following the diff_* columns in the output of
audit_seq(), this is the number of dispersion steps, not
the actual numeric difference.diff_* columns are now integer, not
double.function_map(), function_map_seq(), and
function_map_total_n() have a new
.name_key_result argument that controls the name of the key
result column in the output of the factory-made function. This is
"consistency" by default, but other names will fit better
for other kinds of tests. (The results of these tests must still be
logical values.)duplicate_count(), the count column in
the output tibble was renamed to frequency. This makes for
a more streamlined frequency table and removes an ambiguity with
duplicate_count_colpair(), where the count
output column means something different.seq_disperse() and seq_disperse_df(),
the track_var_change / .track_var_change
argument was renamed to track_diff_var /
.track_diff_var. The arguments with the old names are still
present for now but will be removed in a future version. Also, the unit
of these values is now dispersion steps, for consistency with
grim_map_seq() etc. as well as
audit_seq().grim_total(), grim_ratio(), and
grim_ratio_upper() now require x to have
length 1.write_doc_factory_map_conventions() now renders links. The
function also has a new scrutiny_prefix argument for use in
another package.vignette("devtools").The duplicate_*() functions now present their output
better and have overall been streamlined. Read more at
vignette("duplicates").
A new function, duplicate_tally(), marks each
observation with its overall frequency. It is similar to
duplicate_detect() but more informative.
In duplicate_count():
All values are now treated like character strings, so all can be
checked. The numeric_only argument is deprecated and should
no longer be used.
The output tibble has two new columns, locations and
locations_n. These hold the names of all input columns in
which a value appears and the number of these columns. Details are
controlled by the new locations_type argument.
New ignore argument for specifying one or more
values that will not be checked for duplicates.
In duplicate_count_colpair():
New total_x and total_y columns in the
output show how many non-missing values were checked for
duplicates.
New ignore argument as in
duplicate_count().
The na.rm argument is deprecated. It wasn’t very
useful because missing values are never checked for duplicates.
duplicate_detect() is superseded. It is less
informative than duplicate_count() and, in particular,
duplicate_tally(). Still, it shares in the overhaul:
duplicate_count(), all values are now treated
like character strings, so all can be checked. The
numeric_only argument is deprecated and should no longer be
used.NA.ignore argument as in
duplicate_count().Fixed a numeric precision bug in round_up_from() and
round_down_from() that occurred when rounding numbers
greater than circa 2100 with a part to be truncated that was equal to 5
on that decimal level (thanks to @kaz462, #43). These functions are
called within round_up() and round_down(), and
indirectly by all consistency-testing functions.
Fixed a bug in audit_seq() that displayed one “hit”
found by varying a given reported value if there were no such hits. The
other columns were not affected.
Fixed a bug in function_map() that displayed the
wrong calling function’s name in case of an error.
Documentation for grim_map_seq() and all other
functions made by function_map(),
function_map_seq(), or function_map_total_n()
now displays meaningful defaults. Printing the factory-made functions is
more meaningful, as well. Internally, they now work with
rlang::new_function(), which allows for flexible
metaprogramming.
The experimental function audit_list() is
deprecated. Just use audit() instead.
audit_seq() and audit_total_n() are now
documented separately from audit() and
audit_list().
The lifecycle package is now imported and used in formal
deprecations such as that of sep in the
restore_*() functions. The janitor package is no longer
suggested.
Adjusted to new CRAN requirements for
packageVersion() usage.
Some performance improvements.
decimal_places_df() function that takes a data
frame and counts the decimal places in all numeric-like columns.is_map_df() test whether an object is the output of a
scrutiny-style mapper function for consistency tests.is_numeric_like() function to test
whether an object (e.g., a string vector) can be coerced to
numeric.grim_ratio_upper() function gives an upper bound
for grim_ratio().split_by_parens():
The function now uses a cols argument instead of the
dots (...). This follows tidyselect
development guidelines. The default,
cols = everything(), is to select all columns that contain
the sep elements (by default, parentheses). Set the new
check_sep argument to FALSE to select all
columns regardless.
All other arguments were renamed: they no longer start on a dot.
Furthermore, .col1 and .col2 have been renamed
to end1 and end2.
A warning is now issued if one or more columns can’t be split (or
is de-selected from splitting). This occurs if a column doesn’t contain
the sep elements.
Internal changes for compatibility with dplyr 1.1.0.
restore_zeros_df() as well, the dots
(...) were replaced by a cols argument, and
each other argument no longer has a prefix dot. This follows the changes
in split_by_parens(), but note the default selection
restrictions by the new check_numeric_like argument. The
optional check_decimals argument goes even further.Some new features and bugfixes:
New audit() methods for the output of
audit_seq() and audit_total_n().
New duplicate_count_colpair() function that checks
each combination of columns in a data frame for duplicates.
New restore_zeros_df() function to easily restore
trailing zeros in all numeric-like columns in a data frame.
New seq_length() function to extend or shorten
linear sequences.
Bugfixes in the is_seq_*() functions.
Argument evaluation is now forced in the function factories:
function_map(), function_map_seq(), and
function_map_total_n().
Some possible corner case issues in
split_by_parens() are now prevented.
Internal changes for compatibility with purrr 1.0.0 and tidyselect 1.2.0.
This is a patch for CRAN compliance.
The package now requires R version >= 3.4.0 and rlang version >= 1.0.2.
Subtle changes to split_by_parens() that users
generally won’t notice.
Minor shifts in the documentation (e.g.,
vignette("consistency-tests") now has instructions on
exporting factory-made functions.).
This is a patch.
It reduces the scope of some examples for CRAN compliance.
Minor vignette changes.
This is a massive release, with many new features and improvements all over scrutiny. Most notably, the package now includes an entirely new system for implementing consistency tests.
grimmer_map_seq() is analogous to
grim_map_seq().grim_map() no longer includes an items
column by default. Instead, the numbers of items (1 by default) are
factored into the output’s n column. This focuses the
presentation on the essence of GRIM.function_map() enables users to quickly create
consistency test functions for data frames much like
grim_map() or debit_map().grim_map_seq() checks if GRIM inconsistencies might be
due to small errors, and the true values might be close to the reported
ones. It varies the inputs up and down in a specified range, holding the
respective other ones constant, and tests all those combinations. For
summaries, call audit_seq() on the results.debit_map_seq() does the same for DEBIT.function_map_seq(), which
allows users to easily create functions just like these for any
consistency test. All that’s needed is a data-frame-level consistency
testing function like grim_map() or
debit_map().grim_map_total_n() applies GRIM in cases where no group
sizes are reported, only total sample sizes. It systematically matches
possible group sizes (around half the total) with reported mean or
proportion values, GRIM-tests them, and counts the scenarios in which
both matches are consistent. For summaries, call
audit_total_n() on the results.debit_map_total_n() does the same for DEBIT.function_map_total_n(),
which allows users to easily create new functions like
grim_map_total_n() or debit_map_total_n(),
provided a data-frame-level consistency testing function like
grim_map() or debit_map().disperse_total() takes a total
sample size (comprised of the two unknown group sizes on interest) and
calls the appropriate group-level function: disperse() for
even totals, disperse2() for odd ones.seq_disperse() and seq_disperse_df()
extend scrutiny’s support for string decimal sequences with trailing
zeros. They construct sequences centered around the input; a use case
not directly covered by base::seq().is_seq_linear() test whether
a vector represents a certain kind of numeric sequence.debit_map(), the x column is now to the
left of the sd column if show_rec is
FALSE, in accordance with the show_rec = TRUE
default.debit() is now vectorized.is_subset_of() and is_superset_of() functions now have
stricter variants grouped around is_proper_subset_of() and
is_proper_superset_of().split_by_parens() now accepts any pair of separators
passed to .sep as a length-2 vector.This is a patch, mainly fixing a bug that used to affect the
presentation of input data in grim_map()’s results. It
needs to be emphasized that this bug only affected a convenience
feature, namely the presentation of certain input data in the output,
not the GRIM test itself.
Previously, if percent was set to TRUE,
the x values were converted to percentages. Because they
need to be presented as strings, percentage conversion involves
restoring the correct number of trailing zeros. The bug, then, was that
all the x values appearing in the output (not in the
internal computations!) were restored to the same “length” as the single
longest one. This was now remedied, and x values are
restored to their individually appropriate number of trailing
zeros.
Another bugfix concerns versioning. Previously, the package had an incorrect version number. It was now corrected.
The last change was to remove an outdated and potentially
misleading paragraph in the documentation of
reround_to_fraction().
This version includes an overhaul of
grim_plot():
It extends the function to cover cases of decimals
values greater than 2, using a gradient instead of a raster.
It enables data-free calls to grim_plot() with the
new show_data argument. Resulting plots only display the
background raster. This mirrors Figure 1 in Brown and Heathers’ GRIM
paper. (Although grim_plot() as a whole is modeled after
this figure, the default addition of empirical summary data is specific
to scrutiny.) Like Brown and Heathers, users may wish to create such
raster-only plots in order to demonstrate some principled points. The
key parameters decimals and rounding can be
controlled directly to make up for the lack of information from
data.
The function now checks if all input means or proportions
(x) have the same number of decimal places. If they don’t,
it throws an error. This strict criterion can be circumvented by
specifying the decimals argument. However, since each
raster is specific to one number of decimal places (and hence cannot be
interpreted regarding x values with a different number),
the recommended solution is to plot x values separately —
once for each number of decimal places.
The show_full_range argument was removed because I
now think it is superfluous.
Previously, there was some space between the raster and the y-axis. It has now been removed.
Test result data points, shown in blue and/or red by default, are now built on top of the raster, which makes for a more distinct appearance.
Two new functions, reround_to_fraction(), and
reround_to_fraction_level(), enable fractional rounding,
inspired by janitor::round_to_fraction(). For example, they
might round 0.4 to 0.5 for fractions of
2. What tells the new functions apart is that they come
with all the flexibility of reround(). Furthermore,
reround_to_fraction_level() is closer to a conventional
rounding function than the other two.
The new version also fixes a bug in
row_to_colnames(), rewriting the function’s core.
Another bug was fixed in grim() and
grim_map(), concerning show_rec: For
rounding strings that lead to four reconstructed numbers
per x value rather than just two, it used to be the case
that only the two values corresponding to the first of the two rounding
procedures were displayed in the output tibble. Now, all four are
displayed, bearing appropriate names.
Another bugfix is for the threshold argument in
reround(), which didn’t work properly before. This used to
affect higher-level functions such as grim(),
grim_map(), debit(), and
debit_map(), as well. The default for
threshold is now 5 in all such functions. Note
that rounding up and down from 5 has been fully functional independently
of it.
Also in reround(), the rec argument has
been renamed to x in accordance with general naming
conventions. The decimals argument has been renamed to
digits in accordance with naming conventions among rounding
functions.
In split_by_parens(), ellipsis support was added to
protect the user from silent, unexpected results following named
arguments in tidy evaluation. The ellipsis package has been added to the
Suggests field in DESCRIPTION.
In some high-level functions, internal checks now determine if the lengths of multiple arguments that are factored into the same internal function call are mutually congruent. That is, if two such arguments are length > 1, they need to have the same length (which will throw a warning). Otherwise, there will be an explicit and very specific error message.
Finally, some minor refactoring and other small changes that users generally won’t notice.
Related software.grim_plot().NEWS.md file to track changes to the
package.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.