repl.txt (1437B)
1 2 {{alias}}( x, a, b ) 3 Evaluates the probability mass function (PMF) for a discrete uniform 4 distribution with minimum support `a` and maximum support `b` at a value 5 `x`. 6 7 If `a > b`, the function returns `NaN`. 8 9 If `a` or `b` is not an integer value, the function returns `NaN`. 10 11 Parameters 12 ---------- 13 x: number 14 Input value. 15 16 a: integer 17 Minimum support. 18 19 b: integer 20 Maximum support. 21 22 Returns 23 ------- 24 out: number 25 Evaluated PMF. 26 27 Examples 28 -------- 29 > var y = {{alias}}( 2.0, 0, 4 ) 30 ~0.2 31 > y = {{alias}}( 5.0, 0, 4 ) 32 0.0 33 > y = {{alias}}( 3.0, -4, 4 ) 34 ~0.111 35 > y = {{alias}}( NaN, 0, 1 ) 36 NaN 37 > y = {{alias}}( 0.0, NaN, 1 ) 38 NaN 39 > y = {{alias}}( 0.0, 0, NaN ) 40 NaN 41 > y = {{alias}}( 2.0, 3, 1 ) 42 NaN 43 > y = {{alias}}( 2.0, 1, 2.4 ) 44 NaN 45 46 47 {{alias}}.factory( a, b ) 48 Returns a function for evaluating the probability mass function (PMF) of 49 a discrete uniform distribution with minimum support `a` and maximum support 50 `b`. 51 52 Parameters 53 ---------- 54 a: integer 55 Minimum support. 56 57 b: integer 58 Maximum support. 59 60 Returns 61 ------- 62 pmf: Function 63 Probability mass function (PMF). 64 65 Examples 66 -------- 67 > var myPMF = {{alias}}.factory( 6, 7 ); 68 > var y = myPMF( 7.0 ) 69 0.5 70 > y = myPMF( 5.0 ) 71 0.0 72 73 See Also 74 -------- 75