repl.txt (1476B)
1 2 {{alias}}( p, a, b ) 3 Evaluates the quantile function for an arcsine distribution with minimum 4 support `a` and maximum support `b` 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 `a >= b`, the function returns `NaN`. 11 12 Parameters 13 ---------- 14 p: number 15 Input probability. 16 17 a: number 18 Minimum support. 19 20 b: number 21 Maximum support. 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 ~0.905 32 > y = {{alias}}( 0.5, 0.0, 10.0 ) 33 ~5.0 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 > y = {{alias}}( 0.5, 2.0, 1.0 ) 48 NaN 49 50 51 {{alias}}.factory( a, b ) 52 Returns a function for evaluating the quantile function of an arcsine 53 distribution with minimum support `a` and maximum support `b`. 54 55 Parameters 56 ---------- 57 a: number 58 Minimum support. 59 60 b: number 61 Maximum support. 62 63 Returns 64 ------- 65 quantile: Function 66 Quantile function. 67 68 Examples 69 -------- 70 > var myQuantile = {{alias}}.factory( 0.0, 4.0 ); 71 > var y = myQuantile( 0.8 ) 72 ~3.618 73 74 See Also 75 -------- 76