Paste or upload your trial data, pick the design, and get the ANOVA table with means, SEm, CD and CV%. Download the result as Excel, PDF or Word.
CRD, RBD, factorial, split plot, strip plot, pooled analysis, regression, t-tests, post-hoc and non-parametric tests, ANCOVA and logistic regression.
| Source | df | SS | MS | F | p |
|---|---|---|---|---|---|
| Replication | 3 | 10.35 | 3.45 | 0.76NS | 0.535 |
| Variety | 5 | 320.73 | 64.15 | 14.10** | <0.001 |
| Error | 15 | 68.25 | 4.55 | ||
| Total | 23 | 399.33 |
** significant at 1% level; NS not significant.
Choose a test, then paste your observations or upload a CSV or Excel file. One row per treatment, one column per replication, exactly as in your field notebook.
StatPlot picks the correct error term for the design and returns the ANOVA table, treatment means, SEm ±, SEd, CD at 5% and 1%, CV% and DMRT letters.
Save the full result as an Excel sheet, a PDF or a Word file, with tables laid out the way theses and research papers report them.
Field experiment designs, plant breeding statistics and the everyday tests a thesis needs, in one place.
One-way ANOVA, CRD with equal or unequal replications, and RBD with replication and treatment effects separated.
Two- and three-factor factorials, split plot and strip plot, each tested against its own error term.
RBD and CRD over locations, seasons or years, with the treatment × environment interaction.
Genotypic and phenotypic variances, broad-sense heritability, genotypic and phenotypic correlations, and regression.
Descriptive statistics, normality, t-tests, chi-square, correlation and post-hoc tests with letters.
Non-parametric tests, Levene's test, unbalanced two-way ANOVA, ANCOVA, Cronbach's alpha and logistic regression.
Paste your data or upload a CSV or Excel file. Each test shows the layout it needs before you start.
ANOVA for single trials and trials repeated over seasons or locations.
Association and variability between traits in breeding trials.
The everyday tests from SPSS, for theses in every subject.
Planned next: Contrast analysis, Response surface design, Design layout.
No reformatting into special templates. The layout you use in your field notebook or spreadsheet is the layout StatPlot reads.
| Variety | R1 | R2 | R3 | R4 |
|---|---|---|---|---|
| HD 2967 | 48.2 | 51.6 | 46.3 | 50.4 |
| HD 3086 | 53.9 | 51.2 | 55.7 | 52.0 |
| PBW 343 | 44.1 | 47.5 | 45.8 | 42.9 |
| DBW 187 | 55.2 | 58.4 | 53.6 | 57.1 |
| K 1006 | 47.9 | 45.3 | 49.6 | 46.0 |
| WH 1105 | 49.8 | 53.5 | 50.9 | 48.6 |
This file produces Table 2 above.
StatPlot is an online statistical analysis tool built for field experiments and thesis research. It brings the designs used in agricultural research together with the general tests found in SPSS-style software, in one place that runs in your browser.
Choose a test, paste your observations or upload a CSV or Excel file, and the analysis is done in seconds. The output follows the format of research tables: ANOVA with significance at 5% and 1%, treatment means with SEm ±, SEd, critical difference and CV%, and DMRT letters.
There is no software to install and no code to write, so you can spend your time on the experiment and the discussion, not on the calculations.
M.Sc. and Ph.D. students
Thesis chapters on field trials, with ANOVA tables, CD, CV% and DMRT letters laid out as your guide expects.
Agricultural scientists
Station trials, multi-location and multi-season experiments, and breeding nurseries at SAUs, ICAR institutes and KVKs.
Teachers and statistics courses
Worked examples of CRD, RBD, factorial and split plot to show in class, with the full calculation laid out.
Social science, health and management research
The everyday tests of a survey or clinical thesis: t-tests, chi-square, correlation, non-parametric tests, ANCOVA and reliability.
Textbook methods
Designs follow the standard procedures in Gomez and Gomez, Panse and Sukhatme, and the methods taught in agricultural universities.
Checked against R
Every test has been compared with R and the agricolae package on published datasets, number by number.
Tables ready for the thesis
Significance marked at 5% and 1%, means with SEm ±, SEd and CD, and letters beside each mean, in Excel, PDF or Word.
Your data stays yours
Data is used only to compute your result. It is not stored on our servers after the calculation.
StatPlot is an online statistical analysis tool for field experiments, research and theses. You paste or upload your data, choose the design or test, and get the ANOVA table, means, SEm, CD, CV%, DMRT letters and other results, which you can download as Excel, PDF or Word.
Designs: one-way ANOVA, CRD, RBD, two- and three-factor factorial, split plot, strip plot, and pooled RBD and CRD over environments. Plant breeding: genotypic and phenotypic correlation, heritability, correlation matrix, simple and multiple regression. General statistics: descriptive statistics, normality, t-tests, post-hoc tests, chi-square, correlation, non-parametric tests, Levene's test, unbalanced two-way ANOVA, ANCOVA, Cronbach's alpha and logistic regression.
No. StatPlot runs in your browser on a computer, tablet or phone. There is nothing to install and no code to write.
For most designs, one row per treatment and one column per replication, the way it is written in a field notebook. Each test page shows a sample layout and comes with example data you can run first.
The calculations follow standard textbook procedures and have been compared with R and the agricolae package on published datasets. You should still check that the test suits your experiment, and confirm the method with your guide if you are unsure.
Yes. The designs show DMRT letters beside the treatment means, and the post-hoc test gives LSD, Duncan, Tukey and Bonferroni letters together, with the pairwise p-values.
Your data is sent over an encrypted connection, used only to compute the result, and not stored after the calculation. See the Privacy Policy for details.
Yes. Every test can be tried with your own data before you sign up.
Split plot and strip plot tests use separate errors for main plots, sub plots and interactions, as in the standard layouts.
Every F value comes with its exact p-value and is marked **, * or NS, alongside the table F values.
Treatment and interaction means with SEm ±, SEd and critical difference, in the order your tables need.
Start with one of your own trials.
Every test is open to try before you sign up.