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sample_multiple_sample_test_of_nominal_scale.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from draw.draw_graph import DrawGraph
from draw.chi_squared_test_draw_table import ChiSquaredTestDrawTable
from nominal.unpaired_multiple_sample_test_of_nominal_scale import UnpairedMultipleSampleTestOfNominalScale
from nominal.paired_multiple_sample_test_of_nominal_scale import PairedMultipleSampleTestOfNominalScale
from collections import OrderedDict
if __name__ == '__main__':
args = sys.argv
if len(args) is not 2:
print "python sample_multiple_sample_test_of_nominal_scale.py <sample_type>"
print "please choose sample type: "
print "1: unpaired test (chi-square test)"
print "2: paired test (Cochran's Q test)"
else:
draw_graph = DrawGraph()
if args[1] == "1":
'''
刺激条件を変えて，複数の単語を記憶する．自由再生実験した時に，一番最初に再生された単語のリストでの位置を調べる．
First Middle End Total
---------------------------------------------------
Audition 12 10 8 30
Vision 5 5 20 30
Audition
+ 7 6 7 20
Vision
--------------------------------------------------
24 21 35 80
data = {"First": [12,5,7], "Middle": [10,5,6], "End": [8,20,7]}
'''
data = OrderedDict()
data["First"] = [12, 5, 7]
data["Middle"] = [10, 5, 6]
data["End"] = [8, 20, 7]
unpaired_multiple_sample_test_of_nominal_scale = UnpairedMultipleSampleTestOfNominalScale()
print "A chi-square test of independence was performed to examine the relation between learning method (vision, audition, vision + audition) and the place of the learning word people remembered. The relation between these variables was significant, X^2(4) = 10.6, p<.01."
unpaired_multiple_sample_test_of_nominal_scale.test(data)
elif args[1] == "2":
'''
20人の有権者に，A, B, C候補のそれぞれを支持するかどうかを尋ねる．
CandidateA CandidateB CandidateC Total (sum_row)
---------------------------------------------------
Subject1 1 1 1 3
Subject2 1 1 1 3
Subject3 1 1 1 3
Subject4 1 1 1 3
Subject5 1 0 1 2
Subject6 1 0 1 2
Subject7 0 1 1 2
Subject8 0 1 1 2
Subject9 0 1 1 2
Subject10 0 1 1 2
Subject11 0 1 0 1
Subject12 0 1 0 1
Subject13 0 0 1 1
Subject14 0 0 1 1
Subject15 0 0 1 1
Subject16 0 0 1 1
Subject17 0 0 0 0
Subject18 0 0 0 0
Subject19 0 0 0 0
Subject20 0 0 0 0
--------------------------------------------------
Total 6 10 14 30
(sum_column)
'''
data = OrderedDict()
data["CandidateA"] = [1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
data["CandidateB"] = [1,1,1,1,0,0,1,1,1,1,1,1,0,0,0,0,0,0,0,0]
data["CandidateC"] = [1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,0,0,0,0]
paired_multiple_sample_test_of_nominal_scale = PairedMultipleSampleTestOfNominalScale()
paired_multiple_sample_test_of_nominal_scale.test(data)
print "A Cochran's Q Test was performed to compare an approval rating between Candidate A, Candidate B and Candidate C. It rendered a X^2(2) = 8.0 which was significant (p = 0.009). Post hoc comparisons using Ryan's method indicated that the mean score for the Candidate C (Total=14) was significantly different than the Candidate A (Total=6)."
draw_graph.draw_graph(data, "test", "x", "y", tight_layout=True, sample_type="paired", is_scale_nominal=True)
else:
print "please choose sample type: "
print "1: unpaired test (chi-square test)"
print "2: paired test (Cochran's Q test)"