| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| ggstatsplot_1.1.3.tar.gz | 2026-10-17 | 4.3 MB | |
| ggstatsplot 1.1.3 source code.tar.gz | 2026-10-17 | 8.0 MB | |
| ggstatsplot 1.1.3 source code.zip | 2026-10-17 | 8.3 MB | |
| README.md | 2026-10-17 | 984 Bytes | |
| Totals: 4 Items | 20.6 MB | 0 | |
BUG FIXES
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ggwithinstats()now drops subjects with missing values in any condition from the plot as well whensubject.idis supplied, so the plotted data, centrality labels, and sample size labels match the statistical results (previously, partially observed subjects were still plotted). -
ggwithinstats()now gives an informative error when asubject.idvalue appears more than once within a level ofx, instead of silently dropping the subtitle or failing deep inside the statistical tests. -
ggwithinstats()withtype = "robust"now reports the correct Algina-Keselman-Penfield effect size and confidence interval in the subtitle (e.g., 0.32 instead of 0.66 forbugs_long). This fix comes from{statsExpressions}, which previously treated its internal row identifier as an extra condition. -
ggcoefstats()no longer errors withonly.significant = TRUEwhen no term is significant; the plot is drawn without stats labels instead.