The app is now also published as a docker container. See the README for instructions. It is mainly to use for hosting the app. Work is ongoing to publish a true standalone app, preferably for both Windows and MacOS.
- *NEW* Introducing more options to evaluate missing observations. Inspired by the [visdat()] function from the {visdat} package, a specialised function has been introduced to easily visualise data classes and missing observations in the data set. This highly increases the options to visually get an overview of the data and to assess the pattern of missing data. Also under Evaluate, a comparison module has been introduced to compare the distribution of observations across variables depending on the missing vs non-missing in a specified variable.
- *FIX* The REDCap import module has been updated visually and the PAI token is now hidden as a password. This module should still only be used when running locally if you are accessing sensitive data.
- *FIX* Added warning about only using REDCap with sensitive data running locally. THis applies to all data actually. Considering taking REDCap out in hosted version. Standalone app is in the works.
- *FIX* Reworded the completeness filter to be on missingness, as this is a more commonly used concept.
- *FIX* Improved layout around data filters to improve usage.
- *FIX* Regression table in report respects inclusion of p-values or not.
- *NEW*: Added a variables type filter to easily exclude unwanted types. This also includes having data type rather than data class in the summary table. Will evaluate. Types are a simpler, more practical version of the *R* data class to easy interpretation.
Polishing and moved hosted app to new address to fully reflect name change: [https://agdamsbo.shinyapps.io/FreesearchR/](https://agdamsbo.shinyapps.io/FreesearchR/)
- *NEW* Working code output for all major modules including import, modifications, filter, evaluation, plotting and regression. And it is nicely formatted!
- *NEW* The basics of a "Getting started"-vignette is done, and can be expanded on later.
Updating project name to FreesearchR, with renamed repository. Graphics are coming. This may introduce some breaking chances for others calling or installing the package. No additional future changes are planned. A complete transition is planned before attending and presenting a poster at the European Stroke Organisation Conference 2025 in May.
Inspired by the Stroke Center implementation guidelines of the WSO, we will apply a similar approach to this project in order to keep the interface simple and robust. Basic functions for descriptive analyses and data browsing are the basics. More advanced features like regression analyses are added for learning purposes, but really should be done by one self in software like *R* to ensure learning and reproducibility.
Teal dependencies removed. The teal framework really seems very powerful and promising, but it will also mean less control and more clutter. May come up again later.
