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Changelog

Source: NEWS.md

CytokineProfileShinyApp 0.0.0.9000

This development build focuses on making the app easier to use, easier to read, and more reliable.

What’s New

  • You can now run Two-way ANOVA and ANCOVA directly in the app.
  • The app now gives clearer warnings when interaction effects may make results harder to interpret on their own.
  • Many figure-based analyses now include easier text controls, so you can adjust titles, axis labels, legends, and other plot text without digging into code.

Easier to Use

  • Re-uploading a file now refreshes the saved copy right away, even if the file has the same name as before.
  • Excel imports are more reliable. If a previously chosen sheet is no longer available, the app now switches safely instead of failing.
  • When you upload a new file, saved editor choices from the previous file are cleared more cleanly.
  • Columns that look like numbers, even when they include symbols or common missing-value markers, are now more likely to be recognized correctly.
  • Column selections now update more smoothly, and related defaults stay in sync better as you change your data choices.
  • The missing-value help now gives clearer guidance on when to use mean, median, mode, and the two nearest-neighbor options, and the popup is easier to read.
  • If your uploaded data includes out-of-range values, the app now warns you when you click Save & Use and explains what was adjusted in plain language.
  • The app now starts more reliably in different R workflows.

Better Figures

  • Plot text is now more customizable across many figure types.
  • PCA, PLSR, sPLS-DA, and MINT sPLS-DA figures now use more readable default text sizes.
  • Correlation circle plots in PCA and MINT sPLS-DA now behave more reliably.
  • Heatmaps now display more consistently during interactive use.

Bug Fixes

  • Some result tables are now labeled more accurately when column names contain underscores.
  • The app handles empty analysis results more gracefully instead of returning confusing output.
  • The XGBoost workflow now chooses the best training step more reliably across different scoring methods.
  • Editing data in the built-in editor now preserves values more consistently.
  • The missing-value help popup now opens more cleanly and is less likely to be cut off inside the app window.

Behind the Scenes

  • Several parts of the app were cleaned up to reduce small startup and package-loading problems.