repl.txt (1522B)
1 2 {{alias}}( p, μ, s ) 3 Evaluates the quantile function for a logistic distribution with location 4 parameter `μ` and scale parameter `s` at a probability `p`. 5 6 If `p < 0` or `p > 1`, the function returns `NaN`. 7 8 If provided `NaN` as any argument, the function returns `NaN`. 9 10 If provided `s < 0`, the function returns `NaN`. 11 12 Parameters 13 ---------- 14 p: number 15 Input probability. 16 17 μ: number 18 Location parameter. 19 20 s: number 21 Scale parameter. 22 23 Returns 24 ------- 25 out: number 26 Evaluated quantile function. 27 28 Examples 29 -------- 30 > var y = {{alias}}( 0.8, 0.0, 1.0 ) 31 ~1.386 32 > y = {{alias}}( 0.5, 4.0, 2.0 ) 33 4 34 35 > y = {{alias}}( 1.1, 0.0, 1.0 ) 36 NaN 37 > y = {{alias}}( -0.2, 0.0, 1.0 ) 38 NaN 39 40 > y = {{alias}}( NaN, 0.0, 1.0 ) 41 NaN 42 > y = {{alias}}( 0.0, NaN, 1.0 ) 43 NaN 44 > y = {{alias}}( 0.0, 0.0, NaN ) 45 NaN 46 47 // Negative scale parameter: 48 > y = {{alias}}( 0.5, 0.0, -1.0 ) 49 NaN 50 51 52 {{alias}}.factory( μ, s ) 53 Returns a function for evaluating the quantile function of a logistic 54 distribution with location parameter `μ` and scale parameter `s`. 55 56 Parameters 57 ---------- 58 μ: number 59 Location parameter. 60 61 s: number 62 Scale parameter. 63 64 Returns 65 ------- 66 quantile: Function 67 Quantile function. 68 69 Examples 70 -------- 71 > var myQuantile = {{alias}}.factory( 10.0, 2.0 ); 72 > var y = myQuantile( 0.5 ) 73 10.0 74 75 See Also 76 -------- 77