repl.txt (1485B)
1 2 {{alias}}( x, μ, s ) 3 Evaluates the probability density function (PDF) for a logistic distribution 4 with location parameter `μ` and scale parameter `s` at a value `x`. 5 6 If provided `NaN` as any argument, the function returns `NaN`. 7 8 If provided `s < 0`, the function returns `NaN`. 9 10 Parameters 11 ---------- 12 x: number 13 Input value. 14 15 μ: number 16 Location parameter. 17 18 s: number 19 Scale parameter. 20 21 Returns 22 ------- 23 out: number 24 Evaluated PDF. 25 26 Examples 27 -------- 28 > var y = {{alias}}( 2.0, 0.0, 1.0 ) 29 ~0.105 30 > y = {{alias}}( -1.0, 4.0, 2.0 ) 31 ~0.035 32 > y = {{alias}}( NaN, 0.0, 1.0 ) 33 NaN 34 > y = {{alias}}( 0.0, NaN, 1.0 ) 35 NaN 36 > y = {{alias}}( 0.0, 0.0, NaN ) 37 NaN 38 // Negative scale parameter: 39 > y = {{alias}}( 2.0, 0.0, -1.0 ) 40 NaN 41 > y = {{alias}}( 2.0, 8.0, 0.0 ) 42 0.0 43 > y = {{alias}}( 8.0, 8.0, 0.0 ) 44 Infinity 45 46 47 {{alias}}.factory( μ, s ) 48 Returns a function for evaluating the probability density function (PDF) of 49 a Logistic distribution with location parameter `μ` and scale parameter `s`. 50 51 Parameters 52 ---------- 53 μ: number 54 Location parameter. 55 56 s: number 57 Scale parameter. 58 59 Returns 60 ------- 61 pdf: Function 62 Probability density function (PDF). 63 64 Examples 65 -------- 66 > var myPDF = {{alias}}.factory( 10.0, 2.0 ); 67 > var y = myPDF( 10.0 ) 68 0.125 69 70 See Also 71 -------- 72