迅速加快均值和标准差

Pat*_*Pat 3 arrays standard-deviation swift

我正在查看Accelerate以在Swift中计算数组的均值和标准差。

我可以这样说。如何做标准偏差?

let rr: [Double] = [ 18.0, 21.0, 41.0, 42.0, 48.0, 50.0, 55.0, 90.0 ]

var mn: Double = 0.0

vDSP_meanvD(rr, 1, &mn, vDSP_Length(rr.count))

print(mn) // prints correct mean as 45.6250

// Standard Deviation should be 22.3155
Run Code Online (Sandbox Code Playgroud)

Mar*_*n R 6

您可以从平均值和均方值计算标准差(比较https://en.wikipedia.org/wiki/Standard_deviation#Identities_and_mathematical_propertieshttps://en.wikipedia.org/wiki/Algebraic_formula_for_the_variance):

import Accelerate

let rr: [Double] = [ 18.0, 21.0, 41.0, 42.0, 48.0, 50.0, 55.0, 90.0 ]

var mn: Double = 0.0 // mean value
vDSP_meanvD(rr, 1, &mn, vDSP_Length(rr.count))

var ms: Double = 0.0 // mean square value
vDSP_measqvD(rr, 1, &ms, vDSP_Length(rr.count))

let sddev = sqrt(ms - mn * mn) * sqrt(Double(rr.count)/Double(rr.count - 1))

print(mn, sddev)
// 45.625 22.315513501982
Run Code Online (Sandbox Code Playgroud)

或者(对于iOS 9.0和更高版本或macOS 10.11和更高版本),请使用vDSP_normalizeD

var mn = 0.0
var sddev = 0.0
vDSP_normalizeD(rr, 1, nil, 1, &mn, &sddev, vDSP_Length(rr.count))
sddev *= sqrt(Double(rr.count)/Double(rr.count - 1))

print(mn, sddev)
// 45.625 22.315513501982
Run Code Online (Sandbox Code Playgroud)