One-way ANOVA + Tukey letters

MinutePlot^® and R on the same data. MinutePlot version 1.0.0; R 4.5.2.

Dataset

• PlantGrowth — Dried weight of 30 plants under a control and two treatment conditions (R: datasets::PlantGrowth; Dobson 1983).
• Data format for MinutePlot: plantgrowth_minuteplot.csv — arranged exactly as the app’s data template for this test expects (paste it into the app).
• Data format for R: plantgrowth_r.csv — the long-format file the R script reads (keep it in the script’s folder).
• R built-in: the script loads PlantGrowth with data(); the hosted files hold the same values.

Setup

In MinutePlot:

• Workbench → One-way ANOVA → paste plantgrowth_minuteplot.csv into the grid (one row per group, replicates r1…r10 across).
• Post-hoc test: Tukey HSD (the default) · significance level α = 0.05 (the default) → Confirm and Analyze.
• Read the ANOVA table and the cell means with letters from the results; the page compares the all-cells letter set.

In R:

• Install once: install.packages(c("emmeans", "multcomp", "multcompView")); then run plantgrowth.R top to bottom (source it, or paste it into the console) with the R data file in the same folder.
• R 4.5.2 and the package versions in the page header; each script prints the versions it runs under.

The analysis:

• One-way ANOVA of weight by group (3 levels, n = 10 each), α = 0.05.
• Pairwise comparisons: Tukey HSD; compact letters from the significant pairs.

Side-by-side results

ANOVA summary

Means with significance letters

MinutePlot assigns “a” to the highest mean, R to the lowest — a display convention, not a discrepancy; the grouping (which groups share a letter) is what is compared.

Verdict

R script

plantgrowth.R — each script loads its data, prints its versions and the R-side tables shown above, in page order; no plotting.