# Donyo Ganchev, Agricultural University, Plovdiv, Bulgaria
# donyo@abv.bg
from statlib import anova
choice=None
def an():
num_ob=input('Enter the number of observations: ')
var=[0]*num_ob
control=[0]*num_ob
an=[0]*2
ks=[0]*2
kw=[0]*2
index=0
while index<num_ob:
print index+1
var[index]=input('Enter the values of the variant: ')
index+=1
print \
"""
"""
index1=0
while index1<num_ob:
print index1+1
control[index1]=input('Enter the values of the control: ')
index1+=1
an=anova.F_oneway(var, control)
ks=anova.ks_2samp(var, control)
kw=anova.kruskalwallish(var, control)
print \
"""
"""
print "ANOVA p-value is: ", an[1]
if an[1]<0.05:
print "There is statisticaly significant differences"
else:
print "There is no statisticaly significant differences"
print \
"""
"""
print "Kolmogorov - Smirnoff p-value is: ", ks[1]
if ks[1]<0.05:
print "There is statisticaly significant differences"
else:
print "There is no statisticaly significant differences"
print "Kruskal-Wallish p-value is: ", kw[1]
print \
"""
"""
if kw[1]<0.05:
print "There is statisticaly significant differences"
else:
print "There is statisticaly significant differences"
while choice!="0":
print \
"""
One-way ANOVA, Kolmogorov - Smirnoff and Kruskal-Wallish Test Calculation Program
Used module: Python - Statlib
Created by Donyo Ganchev, Agricultural University, Plovdiv, Bulgaria
1 - Begin calculation
0 - Exit
"""
choice= raw_input("Choice: ")
if choice == "0":
exit()
elif choice=="1":
an ()
