agricolae vs StatVeda
agricolae is the most cited R package for agronomic experimental designs. StatVeda is a browser tool with the same family of designs. Both use textbook formulas; both produce numerically equivalent ANOVA tables for CRD, RBD, factorial, split-plot and Latin square (verified to four significant figures or better in src/cross-check/fixtures/ on the FAO and Montgomery datasets).
agricolae's coverage
agricolae covers design generation (design.crd, design.rbd, design.lsd, design.split, design.lattice, design.alpha, design.dau, design.bib) and analysis (HSD.test, LSD.test, duncan.test, scheffe.test, AMMI, stability.par, comb.analysis). It is a comprehensive package but requires R, RStudio, and basic familiarity with R syntax. The package's reference manual on CRAN is the authoritative guide.
Reproducing agricolae output in browser
StatVeda's CRD, RBD, factorial RBD, Latin square, split-plot, alpha lattice and balanced lattice all return the same SS, df, MS, F, and p-values as agricolae's equivalent functions. The cross-check harness at src/cross-check/run.ts confirms agreement on textbook fixtures (FAO, Montgomery, R PlantGrowth, R InsectSprays) to better than 1e-3 on standard outputs. For Tukey HSD, DMRT and LSD post-hoc, the letter groupings match agricolae's HSD.test, duncan.test and LSD.test.
When you still want R
Use R when the analysis is not in StatVeda's tool list, when you need to script a multi-trial pipeline, or when your archive policy requires a versioned R script as the audit trail. For one-off classical designs, the browser path is faster.