Analysis of Variance

ANOVA & MANOVA

Compare groups, model factorial and blocked designs, assess assumptions, explore post-hoc differences, and extend the analysis to multiple responses using pasted raw data or mathematically sufficient summary statistics.

One-Factor MANOVA

Test group differences across multiple numerical responses with Pillai, Wilks, Hotelling-Lawley, Roy, diagnostics, and canonical discriminant analysis.

Raw + summary

Input mode

Raw data Summary statistics

Summary covariance information

Response-specific post-hoc

Data

Paste directly from a spreadsheet. The table preview appears immediately and remains horizontally scrollable for wide datasets.

Use first row as variable names

When selected, variable and group names are preserved in result tables and chart labels.

Accepted paste format

Group Response 1 Response 2 ...

Group, n, p means, then covariance upper triangle.

Group, n, p means, p SDs, then correlation upper triangle.

Variable labels when no header is supplied

Factor / treatment variable

Response names

Only needed when the pasted data do not contain a header row.

Confidence level (%)

95% confidence corresponds to α = 0.05.

∑

Ready for analysis

Paste your data, choose the appropriate design and options, then calculate. Results, diagnostics, tables and interactive plots will appear here.