The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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.

.

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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.