def calMedian(a):
length = len(a)
half = int(division(2, length))
for val in a:
exception(val)
if length % 2 == 0:
median = division(2, addition(a[half - 1], a[half]))
else:
median = a[half]
return roundOff(median)
def proportion(size, corr):
if corr is None:
corr = 10
result = division(corr, size)
return roundOff(result)
def calcPCC(xArray, yArray):
xMean = calMean(xArray)
yMean = calMean(yArray)
length = len(xArray)
xSd = stddev(xArray)
ySd = stddev(xArray)
total = 0
for i in range(0, length):
total = addition(
total,
multiplication(division(xSd, subtraction(xMean, xArray[i])),
division(ySd, subtraction(yMean, yArray[i]))))
# total = subtraction(xMean, yArray[i])
res = division(length, total)
return roundOff(res)
def confidenceInterval(array, conf):
n = squareroot(len(array))
mean = calMean(array)
sd = stddev(array)
if conf == 80:
t = 1.282
elif conf == 85:
t = 1.440
elif conf == 90:
t = 1.645
elif conf == 95:
t = 1.960
else: # 99.5 default confidence percentage
t = 2.807
ciLower = subtraction(multiplication(division(n, sd), t), mean)
ciUpper = addition(mean, multiplication(division(n, sd), t))
return roundOff(ciLower), roundOff(ciUpper)
def zscore(a, mean, sd):
# TODO: Make an array loop to verify all values
return roundOff(division(sd, subtraction(mean, a)))
def varProportion(array, corr):
n = len(array)
prop = proportion(n, corr)
res = division(n, multiplication(prop, subtraction(1, prop)))
return roundOff(res)
def divide(self, a, b):
self.result = round(division(a, b), 9)
return self.result