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Creates a two-input reducer that computes the Spearman's rank-moment correlation. See https://commons.apache.org/proper/commons-math/javadocs/api-3.6/org/apache/commons/math3/stat/correlation/SpearmansCorrelation.html for details.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-07-13 UTC."],[[["\u003cp\u003eCalculates the Spearman's rank-moment correlation between two input variables.\u003c/p\u003e\n"],["\u003cp\u003eUtilizes the Apache Commons Math library for computation, as detailed in their documentation.\u003c/p\u003e\n"],["\u003cp\u003eOffers a straightforward usage with \u003ccode\u003eee.Reducer.spearmansCorrelation()\u003c/code\u003e which returns a Reducer object.\u003c/p\u003e\n"],["\u003cp\u003eRequires no arguments for initialization.\u003c/p\u003e\n"]]],["This defines a reducer, `ee.Reducer.spearmansCorrelation()`, which calculates the Spearman's rank-moment correlation between two input datasets. The reducer, which takes no arguments, utilizes the methodology detailed in the Apache Commons Math library. The output of this reducer is a `Reducer` object representing the computed correlation.\n"],null,["# ee.Reducer.spearmansCorrelation\n\nCreates a two-input reducer that computes the Spearman's rank-moment correlation. See https://commons.apache.org/proper/commons-math/javadocs/api-3.6/org/apache/commons/math3/stat/correlation/SpearmansCorrelation.html for details.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|-------------------------------------|---------|\n| `ee.Reducer.spearmansCorrelation()` | Reducer |\n\n**No arguments.**"]]
