repl.txt (1463B)
1 2 {{alias}}( ...x[, options] ) 3 Computes the Fligner-Killeen test for equal variances. 4 5 Parameters 6 ---------- 7 x: ...Array 8 Measured values. 9 10 options: Object (optional) 11 Options. 12 13 options.alpha: number (optional) 14 Number in the interval `[0,1]` giving the significance level of the 15 hypothesis test. Default: `0.05`. 16 17 options.groups: Array (optional) 18 Array of group indicators. 19 20 Returns 21 ------- 22 out: Object 23 Test result object. 24 25 out.alpha: number 26 Significance level. 27 28 out.rejected: boolean 29 Test decision. 30 31 out.pValue: number 32 p-value of the test. 33 34 out.statistic: number 35 Value of test statistic. 36 37 out.method: string 38 Name of test. 39 40 out.df: Object 41 Degrees of freedom. 42 43 out.print: Function 44 Function to print formatted output. 45 46 Examples 47 -------- 48 // Data from Hollander & Wolfe (1973), p. 116: 49 > var x = [ 2.9, 3.0, 2.5, 2.6, 3.2 ]; 50 > var y = [ 3.8, 2.7, 4.0, 2.4 ]; 51 > var z = [ 2.8, 3.4, 3.7, 2.2, 2.0 ]; 52 53 > var out = {{alias}}( x, y, z ) 54 55 > var arr = [ 2.9, 3.0, 2.5, 2.6, 3.2, 56 ... 3.8, 2.7, 4.0, 2.4, 57 ... 2.8, 3.4, 3.7, 2.2, 2.0 58 ... ]; 59 > var groups = [ 60 ... 'a', 'a', 'a', 'a', 'a', 61 ... 'b', 'b', 'b', 'b', 62 ... 'c', 'c', 'c', 'c', 'c' 63 ... ]; 64 > out = {{alias}}( arr, { 'groups': groups }) 65 66 See Also 67 -------- 68