-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathcorrelation.html
185 lines (168 loc) · 7.97 KB
/
correlation.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
<!DOCTYPE html>
<html>
<head>
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=UA-131282143-1"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'UA-131282143-1');
</script>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>EZ Statistics: Correlation</title>
<meta name="description" content="EZ Correlation">
<link rel="stylesheet" href="style/stats.css">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery-csv/0.71/jquery.csv-0.71.min.js"></script>
<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
<script src="jstat.js"></script>
<script src="ezstatistics-0.30.js"></script>
</head>
<body>
<center><img class="round" src="style/logo.png" height="105"/></center>
<div style="text-align: right"><a href="index.html">Back to main page</a></div>
<h3 class="f18b">Correlation</h3>
Calculates the relationship between two samples. Requires that the samples are normally distributed.
<br>
<div class="smalltext">
<div class="label16">
<h3 class="f16"> Data Entry</h3>
</div>
<br/>
<table>
<tr>
<td>Sample A:</td>
<td><input class="sample" name="sampA" id="samp1" value="3, 5, 4, 4, 2, 3, 5, 4, 6, 3"></td>
<tr/>
<tr>
<td>Sample B:</td>
<td><input class="sample" name="sampB" id="samp2" value="45, 76, 58, 61, 46, 42, 77, 61, 87, 46"></td>
<tr/>
<tr>
<td>Significance level α: </td>
<td><input class="value" name="alpha" id="alpha" value="0.05"></td>
</tr>
<tr>
<td>Upload CSV file:</td>
<td>
<input type="file" name="File Upload" id="txtFileUpload" accept=".csv" />
</td>
</tr>
</table>
<br>
<button class="test" onclick="javascript:calc_correlation()">Calculate</button>
<button class="clear" onclick="javascript:clear_fields(2)">Clear</button>
<div id="error">
</div>
<div id="test_results" style="display: none;">
<div class="label16">
<h3 class="f16"> Result</h3>
</div>
<br/>
<table class="border">
<thead>
<tr>
<th colspan=4 class="dark">Data Summary</th>
</tr>
<tr>
<th class="dark" width="70">Sample</th>
<th class="dark" width="40">N</th>
<th class="dark" width="100">Mean</th>
<th class="dark" width="100">Stdev</th>
</tr>
</thead>
<tbody>
<tr>
<th class="dark">A</th>
<td class="border" id="n1"> </td>
<td class="border" id="mean1"> </td>
<td class="border" id="stdev1"> </td>
</tr>
<tr>
<th class="dark">B</th>
<td class="border" id="n2"> </td>
<td class="border" id="mean2"> </td>
<td class="border" id="stdev2"> </td>
</tr>
</tbody>
</table>
<br/>
<table class="border" width="550">
<tbody>
<tr>
<td class="dark" width="145"><b>Significance level α:</b></td>
<td class="border" id="sign_level"> </td>
</tr>
<tr>
<td class="dark"><b>Correlation coefficient:</b></td>
<td class="border" id="corr"> </td>
</tr>
<tr>
<td class="dark"><b>P-value:</b></td>
<td class="border" id="p"> </td>
</tr>
<tr>
<td class="dark"><b>T-score:</b></td>
<td class="border" id="score"> </td>
</tr>
<tr>
<td class="dark"><b>Result:</b></td>
<td class="border" id="res"> </td>
</tr>
</tbody>
</table>
<div id="assumptions">
<div class="label16">
<h3 class="f16"> Check test assumptions <button class="help" onclick="javascript:toggle('ashelp')";>?</button></h3>
</div>
<div id="ashelp" style="display: none;">
<br>
The samples should be normally distributed. Note that the normality test is not entirely accurate for sample sizes under 20.
</div>
<br>
<div id="normtest">
<table class="border">
<thead>
<tr>
<th class="dark" width="550" colspan="2">Shapiro-Wilk test for normally distributed samples</th>
</tr>
</thead>
<tbody>
<tr>
<td class="dark" colspan="2"><center><b>Sample A</b></center></td>
</tr>
<tr>
<td class="dark" width="100"><b>Result:</b></td>
<td class="border" id="sw_res_1"> </td>
</tr>
<tr>
<td class="dark"><b>P-value:</b></td>
<td class="border" id="sw_p_1"> </td>
</tr>
<tr>
<td class="dark" colspan="2"><center><b>Sample B</b></center></td>
</tr>
<tr>
<td class="dark" width="100"><b>Result:</b></td>
<td class="border" id="sw_res_2"> </td>
</tr>
<tr>
<td class="dark"><b>P-value:</b></td>
<td class="border" id="sw_p_2"> </td>
</tr>
</tbody>
</table>
</div>
</div>
<div id="viz">
<div class="label16">
<h3 class="f16"> Data Visualization</h3>
</div>
<div id="chart"></div>
</div>
</div>
</div>
</body>
</html>