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qualtrics_fetch2 dataset that includes labels as column names..data pronoun in tidy selections. So .data is no longer used in select() or other selection functions.usethis::use_tidy_description() to tidy up DESCRIPTION file.rename = TRUE.install_github() in the README to reduce dependencies.{iptools} package has been replaced with the {ipaddress} package.use_labels() function extracts the Qualtrics question labels included when importing with qualtRics::fetch_survey() and renames the column names with these labels.qualtrics_fetch data set offers an example data set that is imported using the qualtRics::fetch_survey() function.rename_columns() function renames the columns to match standard Qualtrics column names. This is primarily a utility function for the mark_*() functions but may be useful to users in some circumstances.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 than res_min. (#9){dplyr} to 1.0.8 caught problem with using across() inside is.na(). Instead, it now uses if_all() with is.na() as argument. Thanks to [@romainfrancois](https://github.com/romainfrancois) for pull request #7.remove_label_rows() now properly converts numeric data in Status and Finished columns.remove_label_rows() function can now rename columns to match the default column names used in all of the verb function arguments.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.check_*() functions should not be piped.*_ip() function documentation has clarified the internet connectivity requirements.{excluder} package has now been published in Journal of Open Source Software. The JOSS badge has been added to the README.*_ip() functions are now skipped on CRAN to avoid timeout delays.{cli} to generate messages that more clearly outputs numbers and text.print = FALSE.*_ip() functions now include include_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.keep_exclusion_column() allows users to keep the exclusion column in the output from check_*() 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 the exclude_*() functions. validate_columns() validates the number, names, and type of columns that are inputted as arguments in the verb functions.unite_exclusions() function now properly removes multiple separators when multiple exclusion criteria are used.mark_duplicates() function now properly counts and includes the correct number of NAs for both IP addresses and locations and properly prints data.{excluder} package has now been approved by and transferred to rOpenSci. The package was peer reviewed by Joseph O’Brien ([@jmobrien](https://github.com/jmobrien)) and Julia Silge ([@juliasilge](https://github.com/juliasilge)), who are now listed as reviewers in the DESCRIPTION file.mark_durations() function now marks fast and slow durations separately.check_*() functions to the mark_*() functions. Thus, check_*() and exclude_*() now first call mark_*() to mark the rows with exclusion criteria, then filter the excluded rows. The documentation for check_*() and exclude_*() now inherit the arguments from mark_*(). This change has been updated in the README and Getting Started vignette.exclude__*() functions now have print = FALSE and quiet = TRUE set as default argument values.rbind() have been replaced with bind_cols() and dplyr::pull() has been replaced with [[]].all_of() and any_of() now refer to {tidyselect} rather than {dplyr}.if() statements are now more robust by using identical() rather than == and && instead of &.{stringr} package is now imported instead of suggested.*_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 renamed unite_exclusions() to match {tidyverse} terminology. collapse_exclusions() is now deprecated and will be removed in a future version, use unite_exlusions(). unite_exlusions() also switched from using NA to "" for rows with no exclusions. Combined columns now no longer have leftover separators.collapse_exclusions() function. They can also opt to not remove the excluded columns.collapse_exclusions() function was fixed, so now a subset of exclusion columns can be collapsed into a single column.remove_label_rows() function was fixed, so now the Finished column is converted to a logical vector..data to x to avoid confusion with the {rlang} use of .data.quo() and sym() to create new names for columns used as arguments, .data[[var]] is now used.dupe_count column was removed from check_duplicates() output. Tests were adjusted to account for the new number of columns.check_duplicates() now specifies the number of NA columns.deidentify() function was added, which removes IP address, location, and computer information columns.check_qualtrics argument was removed from remove_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.qualtrics_raw dataset and the remove_label_rows() function.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).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.