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Math & statistics

Spearman rank correlation with ties

Spearman rank correlation with ties: Rank each series with average ranks for ties, then calculate Pearson correlation between the two rank series.

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YOUR RESULT
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How it works

Rank each series with average ranks for ties, then calculate Pearson correlation between the two rank series.

Input definitions

First paired series
Plain text; maximum 200,000 characters.
Second paired series
Plain text; maximum 200,000 characters.

A worked example

First paired series
1,2,3,4
Second paired series
4,3,2,1
-1

Assumptions & limits

Entered-data numeric worksheet. Floating-point calculations are rounded for display. Statistical results describe the entered sample and depend on the stated model assumptions.

Sources & review

Maintained by AnsRio. Methods and examples use automated checks; this does not imply independent professional certification.

Method updated 2026-10-17. Content checked against the stated method and examples. Our verification approach.

Common questions

How are tied observations ranked?

Equal observations receive the average of the rank positions they occupy. The tool correlates these ranks; it does not use the no-ties shortcut formula.

How does Spearman rank correlation with ties work?

Rank each series with average ranks for ties, then calculate Pearson correlation between the two rank series.

What are the limits of Spearman rank correlation with ties?

Entered-data numeric worksheet. Floating-point calculations are rounded for display. Statistical results describe the entered sample and depend on the stated model assumptions.

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