daiquiri 1.2.0 (2025-06-24)
CRAN release: 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_typeparameter. (#16)
Bug fixes and minor improvements
- Improved scaling of heatmaps when there are lots of fields. (#17)
daiquiri 1.1.1 (2023-07-18)
CRAN release: 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_categoryoption is set to- TRUE
- Categorical data fields now retain special characters in labels when - aggregate_by_each_categoryoption is set to- TRUE
- Print method of - daiquiri_objectnow 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 - setupwithout causing an error. (#7)
- Hex logo now appears on reports, adding dependency to - xfun
daiquiri 1.0.3 (2022-12-06)
CRAN release: 2022-12-06
Bug fixes and minor improvements
- Validation warnings now match column names correctly when - field_typesare 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)
daiquiri 1.0.2 (2022-11-21)
CRAN release: 2022-11-21
- When rendering reports, intermediate files are now written to tempdir()instead of to the directory of thereport_htmldoc.Rmdfile (the default behaviour ofrmarkdown::render()). This fixes errors caused when the library location is read-only.
daiquiri 1.0.1 (2022-11-11)
CRAN release: 2022-11-11
First release to CRAN
- Replaced calls to deprecated function aes_string()inggplot2
daiquiri 1.0.0 (2022-11-01)
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.csvreplaces- example_dataset.csvas the example dataset supplied with the package.
daiquiri 0.7.0 (2022-04-20)
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_columnnamesparameter has been removed.
- load_data()has been replaced with- read_data()and- prepare_data().
- log_initialise()function:- dirpathparameter 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_shortdescfor the user to specify a dataset description to appear on the report.
- export_aggregated_data()function accepts new- save_fileprefixparameter.
- 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. 
daiquiri 0.6.1 (2022-02-23)
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()
