- Added new
qualtrics_fetch2
dataset that includes labels as column names.
- The {tidyselect} package has deprecated using the
.data
pronoun in tidy selections. So.data
is no longer used inselect()
or other selection functions. - We used the
usethis::use_tidy_description()
to tidy up DESCRIPTION file.
- Fixed bug to now reassign column names when
rename = TRUE
.
- We have switched from the {devtools} to the {remotes} version of
install_github()
in the README to reduce dependencies. - Because the {iptools} package has been removed from CRAN, the links to {iptools} functions now refer to the GitHub site.
- The
{iptools}
package has been replaced with the{ipaddress}
package.
- The Getting started vignette has been renamed excluder.
- The data sets have been added to the References page.
- The
use_labels()
function extracts the Qualtrics question labels included when importing withqualtRics::fetch_survey()
and renames the column names with these labels. - The
qualtrics_fetch
data set offers an example data set that is imported using thequaltRics::fetch_survey()
function. - The
rename_columns()
function renames the columns to match standard Qualtrics column names. This is primarily a utility function for themark_*()
functions but may be useful to users in some circumstances.
- For excluding based on screen resolution, previously you had to provide a minimum width or height. This works fine if all screens are in the same orientation, but if screens differ in their orientation, this isn't sufficient. Now there is an overall minimum argument
res_min
that will apply to both width and height. That is, now you can test if at least one of the dimensions has a resolution greater thanres_min
. (#9)
- To use several of the exclusion criteria, you must collect non-anonymized data and/or computer metadata. The documentation now points to the Qualtrics documentation about non-anonymized data and computer metadata.
- The package now has a logo!
- The number of CRAN downloads is now indicated by a badge.
- Tests for helper functions have been improved.
- Updating
{dplyr}
to 1.0.8 caught problem with usingacross()
insideis.na()
. Instead, it now usesif_all()
withis.na()
as argument. Thanks to @romainfrancois for pull request #7. remove_label_rows()
now properly converts numeric data in Status and Finished columns.
- The
remove_label_rows()
function can now rename columns to match the default column names used in all of the verb function arguments. - The
mark_ip_()
function now checks for (1) internet connectivity, (2) whether the IP address data can be downloaded from https://www.iwik.org/ipcountry/, and (3) if the country code is valid. The function fails gracefully if any of these are not met.
- The README and vignette have clarified that multiple
check_*()
functions should not be piped. - The
*_ip()
function documentation has clarified the internet connectivity requirements.
- The paper for the
{excluder}
package has now been published in Journal of Open Source Software. The JOSS badge has been added to the README. - Tests for
*_ip()
functions are now skipped on CRAN to avoid timeout delays. - Clean up package in preparation for submission to CRAN.
- The messages now use
{cli}
to generate messages that more clearly outputs numbers and text. - All functions now print the output data frames by default but can all be turned off with
print = FALSE
. *_ip()
functions now includeinclude_na
as an argument (like*_duplicates()
and*_location()
functions), so users can decide whether to include NA values in the data that meet exclusion criteria.- There are now five new utility functions that help simplify the primary verb functions.
keep_exclusion_column()
allows users to keep the exclusion column in the output fromcheck_*()
functions and moves the column the first column in the output.mark_rows()
does the bulk of the work creating new columns for exclusion criteria and marking rows that meet the criteria.print_data()
controls whether the output is printed to the console.print_exclusion()
generates the message about how many rows were excluded by theexclude_*()
functions.validate_columns()
validates the number, names, and type of columns that are inputted as arguments in the verb functions. - The NEWS.md file is now based on the rOpenSci template.
- The
unite_exclusions()
function now properly removes multiple separators when multiple exclusion criteria are used. - The
mark_duplicates()
function now properly counts and includes the correct number of NAs for both IP addresses and locations and properly prints data.
- The
{excluder}
package has now been approved by and transferred to rOpenSci. The package was peer reviewed by Joseph O'Brien (@jmobrien) and Julia Silge (@juliasilge), who are now listed as reviewers in the DESCRIPTION file.
- The
mark_durations()
function now marks fast and slow durations separately. - The primary functionality of the package has moved from the
check_*()
functions to themark_*()
functions. Thus,check_*()
andexclude_*()
now first callmark_*()
to mark the rows with exclusion criteria, then filter the excluded rows. The documentation forcheck_*()
andexclude_*()
now inherit the arguments frommark_*()
. This change has been updated in the README and Getting Started vignette.
exclude__*()
functions now haveprint = FALSE
andquiet = TRUE
set as default argument values.- Calls to
rbind()
have been replaced withbind_cols()
anddplyr::pull()
has been replaced with[[]]
. - Calls to
all_of()
andany_of()
now refer to{tidyselect}
rather than{dplyr}
. if()
statements are now more robust by usingidentical()
rather than==
and&&
instead of&
.- The
{stringr}
package is now imported instead of suggested. - All mark, check, and exclude functions for a particular exclusion type have been combined into a single R file. So now each exclusion type has its own R file. Similarly, data file scripts have been combined into a single file.
- The
*_ip()
functions and documentation have been updated to fix a bug/typo to clarify that they mark, check, and exclude rows with IP addresses outside of the specified country.
collapse_exclusions()
has been renamedunite_exclusions()
to match{tidyverse}
terminology.collapse_exclusions()
is now deprecated and will be removed in a future version, useunite_exlusions()
.unite_exlusions()
also switched from using NA to "" for rows with no exclusions. Combined columns now no longer have leftover separators.
- Package links are replaced with external URLs.
- Lifecycle has been updated to Stable, and the repo status of Active has been added.
- There is now a Getting Started Excluding Data vignette that gives an overview of package usage.
- Users can now specify the separator used between exclusion types in the
collapse_exclusions()
function. They can also opt to not remove the excluded columns. - A bug in the
collapse_exclusions()
function was fixed, so now a subset of exclusion columns can be collapsed into a single column. - A bug in the
remove_label_rows()
function was fixed, so now the Finished column is converted to a logical vector. - A codemeta.json file was created.
- URLs have been replaced or tweaked to address CRAN package check warnings.
- Functions are now organized by topic in the Reference page of the website.
- The argument name for the data frame switched from
.data
tox
to avoid confusion with the{rlang}
use of.data
. - Instead of using
quo()
andsym()
to create new names for columns used as arguments,.data[[var]]
is now used. - The
dupe_count
column was removed fromcheck_duplicates()
output. Tests were adjusted to account for the new number of columns. check_duplicates()
now specifies the number of NA columns.- URLs have been replaced or tweaked to address CRAN package check warnings.
- Links function reference pages have been added to the README.
- The
deidentify()
function was added, which removes IP address, location, and computer information columns.
- The
check_qualtrics
argument was removed fromremove_label_rows()
because the functionality did not make sense. This breaks backwards compatibility. remove_label_rows()
now only filters out label rows if label rows are present and outputs invisibly.- Tests were added for the
qualtrics_raw
dataset and theremove_label_rows()
function. - Package-level documentation was created.
remove_label_rows()
now converts character columns to dates for multiple date formats, including YYYY-MM-DD HH:MM:SS, YYYY-MM-DD HH:MM, MM:DD:YYYY HH:MM:SS, and MM:DD:YYYY HH:MM (#1).- Code of Conduction and Contributor Guide are added.
- Citation and Contributor sections are added to README.
- Initial GitHub release