repl.txt (1600B)
1 2 {{alias}}( x, d1, d2 ) 3 Evaluates the probability density function (PDF) for an F distribution with 4 numerator degrees of freedom `d1` and denominator degrees of freedom `d2` at 5 a value `x`. 6 7 If provided `NaN` as any argument, the function returns `NaN`. 8 9 If provided `d1 <= 0` or `d2 <= 0`, the function returns `NaN`. 10 11 Parameters 12 ---------- 13 x: number 14 Input value. 15 16 d1: number 17 Numerator degrees of freedom. 18 19 d2: number 20 Denominator degrees of freedom. 21 22 Returns 23 ------- 24 out: number 25 Evaluated PDF. 26 27 Examples 28 -------- 29 > var y = {{alias}}( 2.0, 0.5, 1.0 ) 30 ~0.057 31 > y = {{alias}}( 0.1, 1.0, 1.0 ) 32 ~0.915 33 > y = {{alias}}( -1.0, 4.0, 2.0 ) 34 0.0 35 36 > y = {{alias}}( NaN, 1.0, 1.0 ) 37 NaN 38 > y = {{alias}}( 0.0, NaN, 1.0 ) 39 NaN 40 > y = {{alias}}( 0.0, 1.0, NaN ) 41 NaN 42 43 > y = {{alias}}( 2.0, 1.0, -1.0 ) 44 NaN 45 > y = {{alias}}( 2.0, -1.0, 1.0 ) 46 NaN 47 48 49 {{alias}}.factory( d1, d2 ) 50 Returns a function for evaluating the probability density function (PDF) of 51 an F distribution with numerator degrees of freedom `d1` and denominator 52 degrees of freedom `d2`. 53 54 Parameters 55 ---------- 56 d1: number 57 Numerator degrees of freedom. 58 59 d2: number 60 Denominator degrees of freedom. 61 62 Returns 63 ------- 64 pdf: Function 65 Probability density function (PDF). 66 67 Examples 68 -------- 69 > var myPDF = {{alias}}.factory( 6.0, 7.0 ); 70 > var y = myPDF( 7.0 ) 71 ~0.004 72 > y = myPDF( 2.0 ) 73 ~0.166 74 75 See Also 76 -------- 77