72 lines
1.5 KiB
Plaintext
72 lines
1.5 KiB
Plaintext
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{{alias}}( x[, ...y[, options]] )
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Computes Levene's test for equal variances.
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Parameters
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----------
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x: Array<number>
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Measured values.
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y: ...Array<number> (optional)
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Measured values.
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options: Object (optional)
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Options.
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options.alpha: number (optional)
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Number in the interval `[0,1]` giving the significance level of the
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hypothesis test. Default: `0.05`.
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options.groups: Array (optional)
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Array of group indicators.
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Returns
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-------
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out: Object
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Test result object.
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out.alpha: number
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Significance level.
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out.rejected: boolean
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Test decision.
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out.pValue: number
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p-value of the test.
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out.statistic: number
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Value of test statistic.
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out.method: string
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Name of test.
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out.df: Array
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Degrees of freedom.
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out.print: Function
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Function to print formatted output.
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Examples
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--------
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// Data from Hollander & Wolfe (1973), p. 116:
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> var x = [ 2.9, 3.0, 2.5, 2.6, 3.2 ];
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> var y = [ 3.8, 2.7, 4.0, 2.4 ];
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> var z = [ 2.8, 3.4, 3.7, 2.2, 2.0 ];
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> var out = {{alias}}( x, y, z )
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> var arr = [ 2.9, 3.0, 2.5, 2.6, 3.2,
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... 3.8, 2.7, 4.0, 2.4,
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... 2.8, 3.4, 3.7, 2.2, 2.0
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... ];
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> var groups = [
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... 'a', 'a', 'a', 'a', 'a',
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... 'b', 'b', 'b', 'b',
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... 'c', 'c', 'c', 'c', 'c'
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... ];
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> out = {{alias}}( arr, { 'groups': groups } )
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See Also
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--------
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