ds@mcpanalytics.aiA data scientist you can email your data and question to, and get a reliable response. Not AI slop.A data scientist you can email. Not AI slop.
Upload your data and get a complete repeated-measures anova report. Free.
Free analyses run on up to 10,000 rows. Larger files are randomly sampled to that size, so sign up to analyze your full dataset.
Running repeated-measures anova analysis...
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Analyze another fileThe practical guide behind this tool: when it applies, how to read the output, and the traps that make it say the wrong thing.
Standard-library analysis for within-subject designs, with sphericity handled properly. Map a subject identifier, the condition or timepoint each measurement was taken under, and the measured value in long format, and get the repeated-measures ANOVA that removes the stable subject-to-subject differences from the error term: the F test with partial and generalized eta-squared, Mauchly's test of sphericity with the Greenhouse-Geisser and Huynh-Feldt corrected p-values, pairwise post-hoc comparisons corrected for multiplicity, condition means with confidence intervals, and a per-subject profile grid. An optional between-subjects group turns it into a mixed design with a group-by-condition interaction.
Interactive bar visualization
Interactive heatmap visualization
Interactive table visualization
Interactive table visualization
Interactive table visualization
Interactive table visualization
Plain-English interpretation of what the numbers mean, what's significant, and what to do next.
Test whether a measurement taken on the same people at three or more timepoints actually changed
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data: R analyses, interactive reports, AI insights, and PDF export.
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