High-Performance Open-Source Archive
filter_datacube() for filtering datasets in a
datacube by datefind_ID() and find_common_ID() for
identifying ID columns in datasetsfind_year() for extracting just the year from a
date (potentially unnecessary if messydates::year()
available)compare_new() and compare_diff() for
comparing what is new or different in one dataset over anotherscore_*() functions for scoring
datasets on various criteria, including consistency, completeness,
accuracy, timeliness, and uniqueness of the datafind_duplicates() for identifying duplicate
observations in datasetscode_extend_glove() and
code_extend_bert() for extending existing coding to new or
missing datagetID() helper that obtains the one or two ID
columns that appear as the first one or two columns in a datacubecompare_overlap() now returns a list of each datasets
IDs to avoid issues with {ggVennDiagram}plot.compare_overlap() now always returns an upset plot
(closes #292)plot.compare_categories() treated identifier
variables (closes #291)resolve_*()
functionsresolve_*() functions now have a parameter indicating
whether missing values should be included; unlike base R, by default
missing values are excludedresolve_mean()resolve_median()resolve_mode() for retaining the most common
valuesresolve_consensus() for retaining only values
where there are no conflicts{cli},
{dplyr}, and {messydates} Depends{usethis} Suggestemperors dataset
emperors$Wikipediaemperors$UNRVemperors$Britannicacall_citations() to print citations added as
hidden informationcall_sources() bug related to calling
help filescall_sources() and
call_citations() to accept datacubes or datasets, as
objects or charactersmreport() from messydates
mreport.list() to make it easier to report on
datacubesdescribe_data() for describing key aspects of
datasets in datacubescall_releases() to use
messydates::vmin()pluck()
dplyr::pluck() but adds a citation
promptconsolidate()
{cli} progress messages and
success alerts{dtplyr} in place of
dplyr::full_join() (closes #288)
{duckplyr} considered: faster, but couldn’t handle
mdate class{collapse} considered: even faster, but inconsistent
outputconsolidate() to use new ‘join’
argument
{cli} on quiet moderesolve_coalesce() for coalescing (taking first
non-NA value)resolve_random() for returning random values
sampling from those availableresolve_min() and resolve_max()
for returning min or max valuesresolve_unite() for returning all possible values
as a setresolve_precision() for returning most precise
values available (closes #265)
precision.numeric() to return most significant
figuresprecision.character() to return most
charactersresolve_median() and
resolve_mean() as uncommon choicesresolve_multiple() in favour of always using
more flexible for loopfavour() in favour of left joins and
coalescescoalesce_rows() as no longer necessarycall_sources() to be more flexible when
gathering data from datacube documentationcall_sources()compare_dimensions() by fixing bugs related to
dates and NA observationsemperors data documentation issues related to
lost braces with CRAN submission{ggplot2}consolidate()call_sources() identify
datasets within datacubes{tibble}and
{janitor} package imports in DESCRIPTION fileget_packages()
to call_packages() and updating how the function works and
look up packages, version updates, and availailabitycall_sources() function
that displays sources and variable changes for datasets in
datacubesretrieve_ family of
functions to call_ functionsplot_releases() to
call_releasescompare_missing()
function to compare missing values in datasets in a ‘many’ datacubedb_plot() function to
compare_categories() and updating variable categoriesdb_
functions to compare_ functionscompare_overlap() to help users
investigate overlap for datasets within datacubescompare_dimensions() and
compare_ranges() to compare dimensions and ranges in
datacubesconsolidate() to require two keys when joining
memberships’ databasesdb_comp() to follow consolidation defaults for
memberships’ databasesretrieve_texts() function to
retrieve treaty texts from other ‘many’ packagesdata_evolution() to use inherits()
instead of class() for condition comparisondata_evolution() function to
the report family of functions that gets original datasets, if
available, or opens the preparation scripts, if not availabledb_plot() function to plot a
profile of the database to facilitate comparison of matched observations
across datasetsdb_comp() function that creates a
tibble of the database to facilitate comparison of matched observations
across datasetsget_packages() function
get_packages() interactive so
that users can chose which branch to downloadget_packages() printingget_packages() and plot_releases()
to use {messydates}, instead of {lubridate},
for dates coercionnetwork_map() function for
plotting geographical networksconsolidate()function to make function over 20
times faster
consolidate() ignore text related
variables due to their sizeconsolidate() more concise to
avoid running into memory limitscoalesce_compatible()
for a faster approach to coalescing compatible missing observations that
relies on zoo::na.locf()coalesce_compatible() function defunct{skimr} table from emperors
database documentation{pkgdown} dependencyemperors data to contain correct date class
name consistent with {messydates}get_packages() function identifies
installed packages to avoid using installed.packages()coalesce_compatible()
function to include the returnsconsolidate() to use
inherits() to identify variable’s classconsolidate() function
consolidate() function more
concise and faster by removing redundant code lines{messydates} package is used to resolve datesconsolidate() substitutes missing
observations with first non-missing observation from other datasetsconsolidate() detects
variables to be resolved to avoid ambiguous variable matchingconsolidate()favour() (also
favor()) function that re-orders datasets within a
database{qData} to
{manydata}consolidate()consolidate() function
get_packages() functionextract_bilaterals() for extracting adjacency
edgelist for bilateral agreementsextract_multilaterals() for extracting adjacency
edgelist for multilateral agreementsget_packages() to load downloaded packagesconsolidate()interleave() to qCreateconsolidate() for collapsing a set
or database of (q)dataset into a single dataset
coalesce_compact() to coalesce
all compatible rows of a data framecoalesce_compact()consolidate() and
coalesce_compact()coalesce_rows()
coalesce_rows(){qData} into two packages,
{qData} for users and {qCreate} for developers
setup_package() and related functions to
{qCreate}import_data() and related functions to
{qCreate}export_data() and related functions to
{qCreate}plot_releases() to {migraph}data_contrast() and
data_source() return exportable objectsget_packages() function
get_packages() by changing
dependencies to {lubridate}NA where a listed qPackage
is not installed locallysetup_package() to make it more intuitive and
precise for users
setup_package()setup_package() to make more
precisesetup_package()setup_package() to be less verbosenew_author() function to
add_author() for naming consistency
add_author()add_author() to treat multiple
commentssetup_package() and
add_author()standardise_dates() to simplify function and
testing
standardise_dates()standardise_dates()report_data()
report_data() into
data_source() and data_contrast()
functionsdata_contrast()data_contrast()report_data()
functionsetup_package() to make it easier to set up
collaborative qPackages
setup_package() accept more than
two authors as argumentssetup_package() function so
that it adds LICENSE file to new qPackagesnew_author() function that adds
new package contributors to description fileget_packages() to make it easier to install
globalgov qPackages
get_packages() work with
package name only for qPackages part of the globalgov organizationget_packages() to accept listed
number for package as argumentsdepends()
functiondepends() for loading and, if necessary,
installing CRAN packagesplot_releases() function that visualises
historical milestones/releases for GitHub repositoriessetup_package() function by removing license
lines in the codes
setup_package()import_data() to accept .RData filesstandardise_dates()
function and tests
standardise_dates() function by using
lubridate::as_date() in place of
anytime::anydate() to correctly treat historical BC and AD
datesstandardise_dates() to make
sure it works with all types of date variablesstandardise_dates()
into various helper functionsexport_data() to better document new database
and dataset structure
export_data() references the
newly created report_data() function to generate metadata
dataframes at the desired level (Package, Database, Dataset)export_data()export_data() to document
datasets at the database levelexport_data()retain() to retain chosen objects in the
environment, removing all other variablesreport_data() function that
displays information on the data within a qPackageexport_data() specificitiesuse_ccby_license(name = packageAuthor) in the description
of the setup_package() functionexport_data() function
to its new version including database name as a stringimport_data() by suggesting upper case letters
for dataset names and lower case letters for database names
stadardise_dates() so that
extreme future dates are standardised
standardise_dates() to accept multiple variable
dates as inputs and it standardises separatorsstandardise_dates() to be more efficient when
dealing with different date formatsrecent() in favour of
standardise_dates()export_data() by making it save datasets as
named list elements in a databaseget_packages() function to:
setup_package() and
import_data()setup_package()standardise_dates()rearrange() function in
favour of dplyr::relocate()export_data() function
get_packages() function
which displays other packages, and some information about these
packages, in the qData ecosystem. The function serves as a wrapper for
downloading qPackages from GitHub.create_qPackage() to
setup_package()
qPackage-DESC
templateqPackage-DESC that names weren’t
stringsuse_qData_raw() to import_data()
use_qData() to export_data()
usethis::use_data()qData-doc.R)qtemplate() function for finding
and rendering templatescreate_qPackage() that establishes
a {qData} consistent package framework
use_qData_raw() for setting up
data cleaning and wrangling
repaint() for filling in missing
data by lookuprecent() for sensible centuries for datesuse_qData() for setting up tests,
documentation, and lazy-loading of cleaned data
create_qpackage()interleave()resequence()recollect(){lintr},
{goodpractice}, and {spelling} in
prchecks.ymlrearrange()reunite()NEWS.md file to track changes to the
package.transmutate() for merging variablesentitle() for standardising treaty titles,
etc.
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