Swift Stats Conversion Playground

gistfile1.txt

//: Playground - noun: a place where people can play

import UIKit


let a : Double = 1.0 / 81.0
var b : Double = 0.0
for var i = 0; i < 729; i++
{
b = a + b
}
print(b)

let c : Float = 1.0 / 81.0
var d : Float = 0.0
for var i = 0; i < 729; i++
{
    d = c + d
}
print(d)


//START

var xArray = [7,5,8,3,6,10,12,4,9,16,18];
var yArray = [21,15,24,9,18,30,36,12,27,45,54];

//xArray = [1,1,3,4,7,7,9,12]
//yArray = xArray

let xArraySorted = xArray.sort()
let yArraySorted = yArray.sort()

var Q1: Float
var Q2: Float
var Q3: Float

var x1  = 1.0 * (Float(xArray.count) + 1.0) / 4.0
var x2  = 2.0 * (Float(xArray.count) + 1.0) / 4.0
var x3  = 3.0 * (Float(xArray.count) + 1.0) / 4.0
//Weird rule if it is .5, you have to average the two numbers in that index. Otherwise round.
    if (x1 % 0.5 == 0 && x1 % 1 != 0)
    {
    let x11 : Int = Int(x1)
    let x22 : Int = Int(round(x1))
    Q1 = Float(xArraySorted[x11-1] + xArraySorted[x22-1])/2.0
    }
    else
    {
        let x11 : Int = Int(round(x1))
        Q1 = Float(xArraySorted[x11-1])
    }

     if (x2 % 0.5 == 0 && x2 % 1 != 0)
    {
        let x11 :Int = Int(x2)
        let x22 :Int = Int(round(x2))
        Q2 = Float(xArraySorted[x11-1] + xArraySorted[x22-1])/2.0
    }
     else
     {
        let x11 : Int = Int(round(x2))
        Q2 = Float(xArraySorted[x11-1])
    }

    if (x3 % 0.5 == 0 && x3 % 1 != 0)
    {
        let x11 :Int = Int(x3)
        let x22 :Int = Int(round(x3))
        Q3 = Float(xArraySorted[x11-1] + xArraySorted[x22-1])/2.0
    }
    else
    {
        let x11 : Int = Int(round(x3))
        Q3 = Float(xArraySorted[x11-1])
    }

let fiveNumberSumary = [xArray.first!, Q1, Q2, Q3, xArray.last!]

if (xArray.count != yArray.count)
{
    print("NOT EQUAL AMOUNT OF NUMBERS")
    exit(0)
}

var xAverage : Float = 0;
var yAverage : Float = 0;
for x in xArray { xAverage = Float(x) + xAverage }
for y in yArray { yAverage = Float(y) + yAverage }
print("AVERAGES_________________________")

xAverage/Float(xArray.count)

xAverage = xAverage/Float(xArray.count)
yAverage = yAverage/Float(yArray.count)

var XMinusAvg = [Float]()
var YMinusAvg = [Float]()

for x in xArray { XMinusAvg.append(Float(x) - xAverage) }
for y in yArray { YMinusAvg.append(Float(y) - yAverage) }

XMinusAvg
YMinusAvg

var xTimesY = [Float]()

for x in XMinusAvg
{
    let y = YMinusAvg[XMinusAvg.indexOf(x)!]
    xTimesY.append(x*y)
}

xTimesY

var sum : Float = 0.0
for product in xTimesY { sum = product + sum }

//Coveriance
print("COVERIANCE____________________")
let cov = sum/Float(xArray.count - 1)

var sumOfSquareX : Float = 0.0
var sumOfSquareY : Float = 0.0
for x in XMinusAvg { sumOfSquareX = x * x + sumOfSquareX }
for y in YMinusAvg { sumOfSquareY = y * y + sumOfSquareY }

sumOfSquareX
sumOfSquareY

print("SAMPLE VARIANCE_______________")
let SV = Float(sumOfSquareX)/Float(xArray.count - 1)

print("STANDARD DEVIATION_______________")
let SD = sqrt(SV)

let Sx = sumOfSquareX/Float(XMinusAvg.count - 1)
let Sy = sumOfSquareY/Float(YMinusAvg.count - 1)

print("Sample Coefficient Correlation___________")
let CoCo = cov/(Sx * Sy)