Changes in version 1.2.1 (2025-10-27) No User-facing changes Changes in version 1.2.0 (2025-06-24) New features - New field_types_advanced() function. Allows just a subset of the columns in the source df to be named explicitly in the specification, with the remaining columns set to the .default_field_type parameter. (#16) Bug fixes and minor improvements - Improved scaling of heatmaps when there are lots of fields. (#17) Changes in version 1.1.1 (2023-07-18) New features - New ft_strata() field type, which when specified, produces a report where the aggregated data and individual data fields plots are stratified by the ft_strata() column's distinct values - Column-specific strings for missing values can now be set in the field_types() specification (#13) Bug fixes and minor improvements - Categorical data fields now show a heatmap plot as well as the individual time series plots when aggregate_by_each_category option is set to TRUE - Categorical data fields now retain special characters in labels when aggregate_by_each_category option is set to TRUE - Print method of daiquiri_object now displays the location the report was saved to - When a data field contains all missing values, this now shows correctly in the various tabs (#12) - When running package from within rmarkdown/quarto (rmd/qmd) files, the parent file can now contain a chunk labelled setup without causing an error. (#7) - Hex logo now appears on reports, adding dependency to xfun Changes in version 1.0.3 (2022-12-06) Bug fixes and minor improvements - Validation warnings now match column names correctly when field_types are specified in a different order to the supplied data frame columns - Passing in a data frame containing integer columns no longer causes an aggregation error (#9) - Calling functions with package prefix no longer causes an error (#10) - Fixed (some) errors about duplicate chunk labels when running package from within rmarkdown/quarto (rmd/qmd) files (bug introduced in previous release 1.0.2). This now allows chunks in the parent file to be unlabelled but unfortunately still errors when there is a chunk labelled setup. (#7) Changes in version 1.0.2 (2022-11-21) - When rendering reports, intermediate files are now written to tempdir() instead of to the directory of the report_htmldoc.Rmd file (the default behaviour of rmarkdown::render()). This fixes errors caused when the library location is read-only. Changes in version 1.0.1 (2022-11-11) First release to CRAN - Replaced calls to deprecated function aes_string() in ggplot2 Changes in version 1.0.0 This release incorporates changes requested for acceptance into https://ropensci.org/. There are many breaking changes as objects have been renamed for better consistency and style. Breaking changes - daiquiri_report() replaces create_report() and some parameters have been renamed. - field_types() replaces fieldtypes(). - prepare_data(), aggregate_data(), and report_data() parameters have been renamed. - initialise_log() replaces log_initialise(). - close_log() replaces log_close(). - template_field_types() replaces fieldtypes_template() Bug fixes and minor improvements - Fixed error when user passes in a data.table (to daiquiri_report() or prepare_data()) that contains non-character columns. - daiquiri_report (formerly create_report()) and report_data() accept a new parameter report_title. - report_data() now accepts ... parameter to be passed through to rmarkdown::render(). - close_log() now returns the path to the closed log file (if any). - example_prescriptions.csv replaces example_dataset.csv as the example dataset supplied with the package. Changes in version 0.7.0 This release moves the reading of csv files out into a separate function in order to make it more configurable and to handle the parsing of all fields as character data for the user. Breaking changes - create_report() now only accepts a dataframe as the first parameter. The textfile_contains_columnnames parameter has been removed. - load_data() has been replaced with read_data() and prepare_data(). - log_initialise() function: dirpath parameter renamed to log_directory. New features - New function read_data() reads data from a delimited file, with all columns read in as character type. - New function prepare_data() validates a dataframe against a fieldtypes specification, and prepares it for aggregation. - create_report() accepts a new parameter dataset_shortdesc for the user to specify a dataset description to appear on the report. - export_aggregated_data() function accepts new save_fileprefix parameter. - New function fieldtypes_template() generates template code for creating a fieldtypes specification based on an existing dataframe, and outputs it to the console. Bug fixes and minor improvements - Fixed ALL_FIELDS_COMBINED calculated field rowsumming NAs incorrectly. - Fixed plots failing when all values are missing. - Fixed log_message() trying to write to different log file when called from Rmd folder (and relative path used). - Made '[DUPLICATES]' and '[ALL_FIELDS_COMBINED]' reserved names for data fields. - Allow column names in supplied dataframe to contain special characters. - Reduced real estate at top of report. - Removed datatype column and fixed validation warnings total from Source data tab in report. - Updated example data. - Added further validation checks for user-supplied params. - Added CITATION file. Changes in version 0.6.1 Beta release. Complete list of functions exported: - aggregate_data() - create_report() accepts either a dataframe or csv filename as the first parameter. This may change in future. - export_aggregated_data() - field_types() - ft_categorical() - ft_datetime() - ft_freetext() - ft_ignore() - ft_numeric() - ft_simple() - ft_timepoint() - ft_uniqueidentifier() - load_data() accepts either a dataframe or csv filename as the first parameter. This may change in future. - log_close() - log_initialise() - report_data()