repl.txt (2690B)
1 2 {{alias}}( N, x, stride ) 3 Computes the arithmetic mean of a single-precision floating-point strided 4 array using a two-pass error correction algorithm with extended accumulation 5 and returning an extended precision result. 6 7 The `N` and `stride` parameters determine which elements in `x` are accessed 8 at runtime. 9 10 Indexing is relative to the first index. To introduce an offset, use a typed 11 array view. 12 13 If `N <= 0`, the function returns `NaN`. 14 15 Parameters 16 ---------- 17 N: integer 18 Number of indexed elements. 19 20 x: Float32Array 21 Input array. 22 23 stride: integer 24 Index increment. 25 26 Returns 27 ------- 28 out: number 29 The arithmetic mean. 30 31 Examples 32 -------- 33 // Standard Usage: 34 > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] ); 35 > {{alias}}( x.length, x, 1 ) 36 ~0.3333 37 38 // Using `N` and `stride` parameters: 39 > x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] ); 40 > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 ); 41 > var stride = 2; 42 > {{alias}}( N, x, stride ) 43 ~0.3333 44 45 // Using view offsets: 46 > var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] ); 47 > var x1 = new {{alias:@stdlib/array/float32}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); 48 > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 ); 49 > stride = 2; 50 > {{alias}}( N, x1, stride ) 51 ~-0.3333 52 53 {{alias}}.ndarray( N, x, stride, offset ) 54 Computes the arithmetic mean of a single-precision floating-point strided 55 array using a two-pass error correction algorithm with extended accumulation 56 and alternative indexing semantics and returning an extended precision 57 result. 58 59 While typed array views mandate a view offset based on the underlying 60 buffer, the `offset` parameter supports indexing semantics based on a 61 starting index. 62 63 Parameters 64 ---------- 65 N: integer 66 Number of indexed elements. 67 68 x: Float32Array 69 Input array. 70 71 stride: integer 72 Index increment. 73 74 offset: integer 75 Starting index. 76 77 Returns 78 ------- 79 out: number 80 The arithmetic mean. 81 82 Examples 83 -------- 84 // Standard Usage: 85 > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] ); 86 > {{alias}}.ndarray( x.length, x, 1, 0 ) 87 ~0.3333 88 89 // Using offset parameter: 90 > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] ); 91 > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 ); 92 > {{alias}}.ndarray( N, x, 2, 1 ) 93 ~-0.3333 94 95 See Also 96 -------- 97