visStatistics 0.1.6

Major changes

• The visstat() function interface has been updated to accept two vectors directly, enabling a more concise and idiomatic usage. For example:

  visstat(trees\(Girth, trees\)Height)

  yields the same result as the original form:

  visstat(trees, “Height”, “Girth”)

  This change aligns with standard R conventions. Both calling styles remain supported for backwards compatibility.

  See ?visstat, the README, or vignette("visStatistics") for details.

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Structural Improvements

• The visstat() function now returns an object of class "visstat", enabling consistent method dispatch.
• New S3 methods added:
  • print.visstat() – shows a concise summary,
  • summary.visstat() – prints the full test and post hoc summaries.

visStatistics 0.1.5

News

• Extended vignette: all implemented tests are explained in greater detail.
• Graphical output displays the corresponding test statistics, in addition to p-values, where appropriate.
• Internal helper function get_samples_fact_inputfile() no longer exported to NAMESPACE.

Bug fixes

• The legend for the Šidák-corrected confidence interval no longer incorrectly states that it displays group means.

visStatistics 0.1.3

News

• Added vignette visStatistics.Rmd documenting the statistical decision logic, with reproducible examples illustrating each test case.
• Added a graphical summary of the decision logic to the README and vignette.

Improvements

• Extended README.html and the @details section of the main function visstat():
  • More precise parameter descriptions.
  • Clearer presentation of the decision logic.

Change in decision logic

• Welch’s t-test (t.test()) is now applied when both groups have more than 30 observations (previous threshold was 100).

Bug fixes

• Confidence and prediction bands in regression now correctly reflect the specified conf.level rather than defaulting to 0.95.
• Post hoc analysis in the Kruskal–Wallis test (pairwise.wilcox.test()) now uses the specified conf.level.
• Switching to fisher.test() now correctly follows the expected cell count thresholds.

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