repl.txt (1503B)
1 2 {{alias}}( p, λ ) 3 Evaluates the quantile function for a Poisson distribution with mean 4 parameter `λ` 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 negative value for `λ`, the function returns `NaN`. 11 12 Parameters 13 ---------- 14 p: number 15 Input probability. 16 17 λ: number 18 Mean parameter. 19 20 Returns 21 ------- 22 out: number 23 Evaluated quantile function. 24 25 Examples 26 -------- 27 > var y = {{alias}}( 0.5, 2.0 ) 28 2 29 > y = {{alias}}( 0.9, 4.0 ) 30 7 31 > y = {{alias}}( 0.1, 200.0 ) 32 182 33 34 > y = {{alias}}( 1.1, 0.0 ) 35 NaN 36 > y = {{alias}}( -0.2, 0.0 ) 37 NaN 38 39 > y = {{alias}}( NaN, 0.5 ) 40 NaN 41 > y = {{alias}}( 0.0, NaN ) 42 NaN 43 44 // Negative mean parameter: 45 > y = {{alias}}( 2.0, -1.0 ) 46 NaN 47 48 // Degenerate distribution at `λ = 0`: 49 > y = {{alias}}( 0.1, 0.0 ) 50 0.0 51 > y = {{alias}}( 0.9, 0.0 ) 52 0.0 53 54 55 {{alias}}.factory( λ ) 56 Returns a function for evaluating the quantile function of a Poisson 57 distribution with mean parameter `λ`. 58 59 Parameters 60 ---------- 61 λ: number 62 Mean parameter. 63 64 Returns 65 ------- 66 quantile: Function 67 Quantile function. 68 69 Examples 70 -------- 71 > var myQuantile = {{alias}}.factory( 0.4 ); 72 > var y = myQuantile( 0.4 ) 73 0.0 74 > y = myQuantile( 1.0 ) 75 Infinity 76 77 See Also 78 -------- 79