r i = {{i}}
r vars[i]
y <- dfr[, vars[i]] if (ng >= 50) { model <- pepa::PBIB.test.mod(block, geno, rep, y, k, method) } else { model <- agricolae::PBIB.test(block, geno, rep, y, k, method) }
model$ANOVA model$statistics
model$means
if (ng >= 50) { model$groups[, -3] } else { model$groups }
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