The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
Health stats visible at Monitor.