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ggstatsplot vs vegan

A side-by-side editorial comparison of ggstatsplot and vegan — release velocity, themes, recent moves, and the top alternatives to consider.

ggstatsplot vs vegan: at a glance

Featureggstatsplotvegan
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesstatistical-plots, ggplot2, contingency-tables, hypothesis-testingcommunity-ecology, ordination, deprecation, permutation-tests
Last editorial update53m ago1h ago
WebsiteVisit →Visit →

What is ggstatsplot?

ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.

ggstatsplot produces ggplot2 graphics with statistical test results embedded in the subtitle and caption — comparisons, correlations, contingency tables, histograms. Since the 2019 refactoring that moved all statistical computation into the separate statsExpressions package, its own release notes have been dominated by upstream tracking: adapting to ggplot2, dplyr, purrr and easystats changes. The 1.0.0 release in April 2026 breaks that run with real additions to the contingency-table functions.

Read the full ggstatsplot trajectory →

What is vegan?

Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.

vegan is the reference R package for ordination and diversity analysis in community ecology. The 2.7 line redesigned constrained ordination graphics from scratch, made adonis defunct in favor of adonis2, and moved permutation tests for partial RDA and db-RDA onto residualized predictors. The current 2.7-5 release is stabilization — parallel processing on Windows, ggvegan compatibility for tidy scores, and arrow label placement.

Read the full vegan trajectory →

ggstatsplot vs vegan: editorial side-by-side

G
ggstatsplot
ANALYTICS
0.0

ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.

◆ Current state

ggstatsplot produces ggplot2 graphics with statistical test results embedded in the subtitle and caption — comparisons, correlations, contingency tables, histograms. Since the 2019 refactoring that moved all statistical computation into the separate statsExpressions package, its own release notes have been dominated by upstream tracking: adapting to ggplot2, dplyr, purrr and easystats changes. The 1.0.0 release in April 2026 breaks that run with real additions to the contingency-table functions.

◆ Where it's heading

The architecture explains the cadence. With statistics living in statsExpressions, ggstatsplot's own releases are mostly the tax of sitting on top of a fast-moving plotting and tidyverse stack — five of the six most recent entries change nothing a user would notice. When substantive work does arrive it clusters in the plotting layer's coverage of test families, as in 1.0.0's one-sample goodness-of-fit support and pairwise contingency analyses. The maintainer is also visibly deliberate about scope, having removed the normality-curve overlay in 0.12.4 for being unrelated to the analysis in question.

◆ Prediction

Expect continued parity work across the plot family — features that exist in one function being extended to its siblings, as goodness-of-fit support moved from ggpiestats to ggbarstats — punctuated by maintenance releases tracking ggplot2 and easystats.

V
vegan
ANALYTICS
0.0

Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.

◆ Current state

vegan is the reference R package for ordination and diversity analysis in community ecology. The 2.7 line redesigned constrained ordination graphics from scratch, made adonis defunct in favor of adonis2, and moved permutation tests for partial RDA and db-RDA onto residualized predictors. The current 2.7-5 release is stabilization — parallel processing on Windows, ggvegan compatibility for tidy scores, and arrow label placement.

◆ Where it's heading

Two long deprecation programs are converging. Plotting is being pushed out of the package: lattice functions are deprecated in favor of ggplot2 equivalents now living in ggvegan, a separate CRAN package, while vegan's own base graphics were rebuilt around independently configurable score types and pipe-based construction. Meanwhile the statistical core is being made internally consistent — add1 and drop1 no longer use different internal models, and summary is no longer an accepted route to ordination scores.

◆ Prediction

Expect the remaining lattice functions to go defunct and more plotting responsibility to shift to ggvegan, leaving vegan as the statistical engine with a thin base graphics layer.

Alternatives to ggstatsplot and vegan

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either ggstatsplot or vegan.

See all ggstatsplot alternatives → · See all vegan alternatives →

Recent activity from ggstatsplot and vegan

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2mo agoveganParallel processing stabilized, especially on Windows
  2. 3mo agoggstatsplotPairwise contingency tests and one-sample goodness-of-fit
  3. 4mo agoggstatsplotInternal maintenance only
  4. 5mo agoveganLattice plotting deprecated as ggvegan reaches CRAN
  5. 6mo agoggstatsplotAdapted to dplyr 1.2.0 and purrr 1.2.1
  6. 8mo agoggstatsplotContributor list updated in DESCRIPTION
  7. 10mo agoveganPartial RDA permutation tests adopt residualized predictors
  8. 10mo agoggstatsplotSecondary axis label parsing fixed in gghistostats
  9. 11mo agoggstatsplotAdapted to the latest ggplot2 release
  10. 1y agoveganOrdination graphics rebuilt and adonis made defunct
  11. 1y agoveganRelease chasing undefined behavior in a C function
  12. 1y agoveganpca, ca and pco added for unconstrained ordination

Frequently asked questions

What is the difference between ggstatsplot and vegan?

They serve adjacent needs but don't currently overlap on shipped themes. ggstatsplot and vegan are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is ggstatsplot better than vegan?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggstatsplot and vegan are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to ggstatsplot?

Top ggstatsplot alternatives in Analytics are ranked by recent ship velocity. Browse the "ggstatsplot alternatives" section above for the current picks, or visit /alternatives/ggstatsplot for the full list with editorial commentary on each.

What are the best alternatives to vegan?

Top vegan alternatives in Analytics are ranked by recent ship velocity. Browse the "vegan alternatives" section above for the current picks, or visit /alternatives/vegan-r for the full list with editorial commentary on each.