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GenStat alternative

Browser Alternative to GenStat

GenStat is the long-standing commercial statistics package from VSN International, originally developed at Rothamsted Research. It has decades of authority in agricultural statistics and is the reference tool for many UK and Commonwealth field-trial workflows: REML mixed models, balanced and unbalanced ANOVA, the full lattice and alpha-lattice family, biometrical genetics, biplots and meta-analysis. The GenStat Discovery edition has historically been free for academic use in qualifying countries.

GenStat's downsides are price (commercial licences), Windows-only delivery and a learning curve that assumes you can write GenStat command syntax for non-trivial models. StatVeda gives you the same family of classical designs (CRD, RBD, factorial, split-plot, split-split-plot, strip-plot, Latin square, balanced lattice, alpha lattice, augmented CRD and RBD, AMMI, GGE, diallel, generation means, line by tester, path) as a free browser tool with no install and no command syntax.

At a glance: GenStat vs StatVeda

FeatureGenStatStatVeda
CostPaid (commercial); Discovery edition free for qualifying academic useFree
InstallWindows desktopBrowser, any OS
CRD / RBD / Latin square / factorialYesYes
Split-plot / split-split-plot / strip-plotYesYes
Balanced lattice / alpha lattice (PBIB)Yes (reference implementation)Yes
Augmented CRD / RBDYesYes
AMMI / GGE biplotYesYes
REML for unbalanced mixed-effectsYes (signature feature)Partial (GLMM with random intercept, HLM 3-level)
Biometrical genetics (diallel, half-sib, full-sib)YesYes (Griffing 1 to 4, partial diallel, line by tester, generation means)
Field randomisation and layoutYes (DESIGN module)Yes (Field Layout tool)
Word / PPT exportVia report moduleYes (one click)
Cross-platformWindows onlyAny browser

Where GenStat wins

Where StatVeda wins

Migration path

  1. Keep GenStat for the REML mixed-effects work. StatVeda does not match it on arbitrary unbalanced random-effects designs.
  2. For the classical-design analyses you run repeatedly, paste the same treatment-by-replication grid into the relevant StatVeda calculator and confirm F, MS and p match against your last GenStat output.
  3. Both engines use the same closed-form formulae for balanced classical designs, so the headline numbers will agree to four or more significant figures.
  4. Use StatVeda for the everyday thesis-chapter run; keep GenStat scripts for the year-on-year archival workflow.

Worked example: Same alpha-lattice analysis in GenStat and StatVeda

Twenty-five-genotype yield trial laid out as an alpha lattice with five blocks per replication, two replications. Fixture from the agricolae alpha-lattice example, also reproducible in GenStat.

In GenStat

In GenStat: ALPHA design followed by AOV gives the source-of-variation table (Rep, Block within Rep, Treatment, Error), F and p for the treatment effect, adjusted treatment means and the LSD or HSD post-hoc with the GenStat letter display.

In StatVeda

In StatVeda: paste the genotype x block x rep grid into the Alpha Lattice (PBIB) calculator. The result panel shows the same source-of-variation table, the adjusted treatment means with their CD at 5 percent, the post-hoc letter display, residual diagnostics and a Word export.

Note: Adjusted treatment means and the F figure agree to four or more significant figures because both engines use the same incomplete-block adjustment. The GenStat output is in the GenStat report viewer; StatVeda exports a Word file.

Honest footnote: what this comparison cannot tell you

References (GenStat)

Try StatVeda

The StatVeda calculator engines run entirely in the browser. No signup, no install, no data sent to a server.

Open the Alpha Lattice calculator

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