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rwasp_pairs.wasp

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Kendall tau Correlation Matrix

Date of computation

Fri, 04 Dec 2015 14:22:56 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/04/t14492392081muq89abgmy063p.htm/, Retrieved Thu, 16 May 2024 23:46:25 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285154, Retrieved Thu, 16 May 2024 23:46:25 +0000

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-       [Kendall tau Correlation Matrix] [Pearson correlation ] [2015-12-04 14:22:56] [d7b41ff8615e11945ad30de5daa5ba50] [Current]

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12,9	7,5	1,8	1,5	21	86	149
12,8	6,5	2,2	2,1	22	71	148
7,4	1	2,3	1,9	18	108	158
6,7	1	2,1	1,6	23	64	128
14,8	8,5	2,1	2,1	20	97	159
13,3	6,5	2,4	2,2	22	129	105
11,1	4,5	2,9	1,5	21	153	159
8,2	2	2,2	1,9	19	78	167
11,4	5	2,1	2,2	22	80	165
6,4	0,5	2,2	1,6	15	99	159
11,3	5	2	2,2	15	57	91
10	4	1,9	2,1	15	68	121
6,4	0,5	2,1	1,9	16	55	153
10,8	4,5	2,1	1,9	21	79	221
13,8	7,5	2,3	2,2	18	116	188
11,7	5,5	2,3	1,8	25	101	149
13,4	7	1,9	2,5	20	66	92
11,7	5,5	2,1	2,1	19	71	156
9	3,5	2	1,5	25	64	132
9,7	2,5	3,2	1,9	18	143	161
10,8	4,5	2,3	2,1	23	85	105
12,7	6	2,4	2,1	14	69	131
11,8	5	2,3	2,4	26	96	157
5,9	0	2	2,1	23	60	111
11,4	5	2,5	1,9	23	95	145
13	6,5	2,3	2,1	24	100	162
11,3	4,5	2,6	2,1	23	105	187
6,7	1	1,8	2,2	17	41	42
12,1	6,5	1,9	1,5	21	50	155
13,3	7	2,4	1,9	18	93	125
5,7	0	2	1,8	21	54	128
13,3	7,5	1,9	1,8	29	69	96
7,6	1,5	1,8	2,4	21	58	99
11,1	4	2,8	2,1	18	136	183
13	6,5	2	2,2	19	126	214
9,9	3,5	2,2	2,4	12	64	74
11,1	5,5	1,8	1,9	19	36	99
4,35	0,5	1	2,1	23	35	48
12,7	7,5	1	2,7	22	61	50
18,1	9	4	2,1	21	70	150
12,6	7	2	2,1	17	24	68
19,1	10	4	2,1	23	147	158
18,4	9	4	2,4	18	84	147
14,7	9,5	1	1,95	23	30	39
10,6	4	3	2,1	19	77	100
12,6	6	3	2,1	15	46	111
16,2	8	4	1,95	20	61	138
18,9	9,5	4	2,4	24	159	131
14,1	7,5	3	2,1	25	57	101
16,15	7,5	4	2,4	19	163	165
14,75	8	3	2,25	19	76	114
14,8	7	3	2,55	16	94	111
12,45	7	2	1,95	19	45	75
12,65	6	2	2,4	19	78	82
17,35	10	3	2,1	23	47	121
18,4	9	4	2,4	22	97	150
11,6	6	2	2,1	20	33	71
17,75	8,5	4	2,25	20	51	165
15,25	6	4	2,25	3	118	154
17,65	9	4	2,4	20	89	145
14,75	5,5	4	2,25	7	56	132
9,9	2	4	2,4	17	60	169
16	8,5	3	2,25	24	109	114
13,85	7,5	2	2,1	20	58	89
17,1	8	4	2,1	19	92	173
14,6	7	4	2,1	29	95	141
15,4	7,5	4	1,65	25	50	165
17,6	9,5	3	2,1	20	80	110
13,9	7	3	2,4	18	68	121
16,25	8	3	2,25	21	79	110
15,65	8	3	2,4	20	57	117
14,6	9	2	2,1	22	69	63
11,2	7,5	1	1,95	25	49	42
16,35	8	4	2,1	24	100	154
15,85	8,5	3	2,1	18	78	96
7,65	3,5	1	2,4	15	38	49
12,35	6,5	3	2,1	29	42	110
15,6	10	2	2,1	23	90	86
13,1	7,5	2	2,1	24	52	88
12,85	4,5	4	2,1	20	64	168
9,5	4,5	2	2,25	4	31	94
11,85	6,5	1	2,1	22	27	48
13,6	4,5	4	2,1	16	105	145
17,6	8,5	4	2,1	17	71	164
16,1	7	4	2,1	22	63	126
13,35	5	4	2,1	19	47	132
15,15	8,5	2	2,4	15	78	81
12,2	6	2,1	2,1	22	70	139
12,6	5,5	2,7	2,1	12	119	224
10,6	5	2,2	1,5	20	68	119
12	5	2,7	1,9	19	147	176
11,9	5,5	2,5	1,8	20	120	163
9,6	3	2,3	2,2	21	84	137
13,8	6,5	3,5	1,6	23	137	148
9,9	4	1,9	1,9	23	81	150
11,5	5,5	1,9	2,1	16	63	153
8,3	2,5	1,9	1,9	16	69	94
10,3	4,5	2,5	1,5	21	86	97
9,3	2,5	2,8	1,8	22	120	166
12,3	6	1,9	2,4	18	57	59
7,9	1	2,6	2,2	19	103	90
9,3	3,5	2,1	1,5	28	107	164
12,5	6	2,4	2,1	23	65	162
15,9	9	2,3	2,4	19	107	202
9,1	3,5	2	1,8	20	53	66
12,2	6	2,1	1,9	19	69	104
12,3	5	2,9	2,1	25	136	177
14,6	7,5	2,6	2,4	23	118	99
12,6	6,5	2,1	1,9	14	82	139
12,6	6,5	2,2	1,8	24	65	108
17,1	8	4	2,1	27	120	194
16,1	7	4	2,1	23	215	159
13,35	8,5	2	2,1	18	24	67
14,5	7	3	2,25	25	42	114
8,6	2,5	1	2,1	21	29	32
17,65	9	4	2,4	23	66	126
16,35	8	4	2,1	23	87	149
13,6	5,5	3	2,1	15	76	120
14,35	7	3	2,1	16	75	109
18,25	9	4	2,25	24	72	172
18,25	9	4	2,25	24	76	156
18,95	10	4	2,7	28	123	167
15,9	8,5	2	2,4	21	46	87
13,35	6	3	2,1	20	86	118
15,35	7	4	2,1	20	79	146
14,85	8,5	2	2,1	30	75	73
13,6	8	2	2,1	22	43	65
15,25	7,5	4	2,25	23	55	152
13,2	7	2	1,95	18	39	77
15,65	8	3	2,4	29	95	112
15,6	6,5	4	2,1	16	23	131
15,2	8,5	1	2,7	22	48	56
18,4	10	3	2,4	23	94	121
19,05	9,5	4	2,55	19	62	149
18,55	9	4	2,55	4	74	168
12,4	5	2	2,4	15	62	85
14,6	8	3	2,1	23	80	114
14,05	5,5	3	2,55	20	75	119
11,85	3,5	4	2,1	24	54	142
7,85	3	2	2,1	22	51	64
15,2	8	3	2,7	20	76	105

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285154&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285154&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285154&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Correlations for all pairs of data series (method=pearson)
	Totaal	EX	PR	PA	NUM	H	LFM
Totaal	1	0.929	0.633	0.429	0.109	0.202	0.214
EX	0.929	1	0.348	0.361	0.182	0.072	0.017
PR	0.633	0.348	1	0.187	-0.01	0.351	0.538
PA	0.429	0.361	0.187	1	-0.154	-0.042	-0.151
NUM	0.109	0.182	-0.01	-0.154	1	0.117	-0.005
H	0.202	0.072	0.351	-0.042	0.117	1	0.573
LFM	0.214	0.017	0.538	-0.151	-0.005	0.573	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Totaal & EX & PR & PA & NUM & H & LFM \tabularnewline
Totaal & 1 & 0.929 & 0.633 & 0.429 & 0.109 & 0.202 & 0.214 \tabularnewline
EX & 0.929 & 1 & 0.348 & 0.361 & 0.182 & 0.072 & 0.017 \tabularnewline
PR & 0.633 & 0.348 & 1 & 0.187 & -0.01 & 0.351 & 0.538 \tabularnewline
PA & 0.429 & 0.361 & 0.187 & 1 & -0.154 & -0.042 & -0.151 \tabularnewline
NUM & 0.109 & 0.182 & -0.01 & -0.154 & 1 & 0.117 & -0.005 \tabularnewline
H & 0.202 & 0.072 & 0.351 & -0.042 & 0.117 & 1 & 0.573 \tabularnewline
LFM & 0.214 & 0.017 & 0.538 & -0.151 & -0.005 & 0.573 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285154&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Totaal[/C][C]EX[/C][C]PR[/C][C]PA[/C][C]NUM[/C][C]H[/C][C]LFM[/C][/ROW]
[ROW][C]Totaal[/C][C]1[/C][C]0.929[/C][C]0.633[/C][C]0.429[/C][C]0.109[/C][C]0.202[/C][C]0.214[/C][/ROW]
[ROW][C]EX[/C][C]0.929[/C][C]1[/C][C]0.348[/C][C]0.361[/C][C]0.182[/C][C]0.072[/C][C]0.017[/C][/ROW]
[ROW][C]PR[/C][C]0.633[/C][C]0.348[/C][C]1[/C][C]0.187[/C][C]-0.01[/C][C]0.351[/C][C]0.538[/C][/ROW]
[ROW][C]PA[/C][C]0.429[/C][C]0.361[/C][C]0.187[/C][C]1[/C][C]-0.154[/C][C]-0.042[/C][C]-0.151[/C][/ROW]
[ROW][C]NUM[/C][C]0.109[/C][C]0.182[/C][C]-0.01[/C][C]-0.154[/C][C]1[/C][C]0.117[/C][C]-0.005[/C][/ROW]
[ROW][C]H[/C][C]0.202[/C][C]0.072[/C][C]0.351[/C][C]-0.042[/C][C]0.117[/C][C]1[/C][C]0.573[/C][/ROW]
[ROW][C]LFM[/C][C]0.214[/C][C]0.017[/C][C]0.538[/C][C]-0.151[/C][C]-0.005[/C][C]0.573[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285154&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285154&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (method=pearson)
	Totaal	EX	PR	PA	NUM	H	LFM
Totaal	1	0.929	0.633	0.429	0.109	0.202	0.214
EX	0.929	1	0.348	0.361	0.182	0.072	0.017
PR	0.633	0.348	1	0.187	-0.01	0.351	0.538
PA	0.429	0.361	0.187	1	-0.154	-0.042	-0.151
NUM	0.109	0.182	-0.01	-0.154	1	0.117	-0.005
H	0.202	0.072	0.351	-0.042	0.117	1	0.573
LFM	0.214	0.017	0.538	-0.151	-0.005	0.573	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Totaal;EX	0.9286	0.9143	0.7837
p-value	(0)	(0)	(0)
Totaal;PR	0.6328	0.6183	0.4593
p-value	(0)	(0)	(0)
Totaal;PA	0.4286	0.4512	0.3405
p-value	(0)	(0)	(0)
Totaal;NUM	0.1086	0.156	0.1098
p-value	(0.1997)	(0.0648)	(0.063)
Totaal;H	0.2023	0.1881	0.131
p-value	(0.0162)	(0.0255)	(0.0221)
Totaal;LFM	0.2137	0.1651	0.1202
p-value	(0.011)	(0.0504)	(0.0357)
EX;PR	0.3476	0.3348	0.2503
p-value	(0)	(0)	(0)
EX;PA	0.361	0.3743	0.2834
p-value	(0)	(0)	(0)
EX;NUM	0.1819	0.2346	0.1659
p-value	(0.0309)	(0.0051)	(0.0061)
EX;H	0.0721	0.0714	0.0506
p-value	(0.3955)	(0.3999)	(0.388)
EX;LFM	0.0174	-0.0184	-0.0162
p-value	(0.8378)	(0.8288)	(0.7818)
PR;PA	0.1867	0.2151	0.1631
p-value	(0.0266)	(0.0104)	(0.0117)
PR;NUM	-0.0095	0.0672	0.0464
p-value	(0.9106)	(0.4287)	(0.4552)
PR;H	0.3506	0.3853	0.2909
p-value	(0)	(0)	(0)
PR;LFM	0.5385	0.5406	0.4101
p-value	(0)	(0)	(0)
PA;NUM	-0.154	-0.1269	-0.0955
p-value	(0.0683)	(0.1337)	(0.1329)
PA;H	-0.0422	-0.0115	-0.0073
p-value	(0.6195)	(0.8928)	(0.906)
PA;LFM	-0.1506	-0.1254	-0.0902
p-value	(0.0746)	(0.1384)	(0.1425)
NUM;H	0.1171	0.1175	0.0817
p-value	(0.1668)	(0.1652)	(0.1673)
NUM;LFM	-0.0055	0.0413	0.0285
p-value	(0.9485)	(0.6268)	(0.6299)
H;LFM	0.5733	0.5813	0.4177
p-value	(0)	(0)	(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Totaal;EX & 0.9286 & 0.9143 & 0.7837 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Totaal;PR & 0.6328 & 0.6183 & 0.4593 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Totaal;PA & 0.4286 & 0.4512 & 0.3405 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Totaal;NUM & 0.1086 & 0.156 & 0.1098 \tabularnewline
p-value & (0.1997) & (0.0648) & (0.063) \tabularnewline
Totaal;H & 0.2023 & 0.1881 & 0.131 \tabularnewline
p-value & (0.0162) & (0.0255) & (0.0221) \tabularnewline
Totaal;LFM & 0.2137 & 0.1651 & 0.1202 \tabularnewline
p-value & (0.011) & (0.0504) & (0.0357) \tabularnewline
EX;PR & 0.3476 & 0.3348 & 0.2503 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
EX;PA & 0.361 & 0.3743 & 0.2834 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
EX;NUM & 0.1819 & 0.2346 & 0.1659 \tabularnewline
p-value & (0.0309) & (0.0051) & (0.0061) \tabularnewline
EX;H & 0.0721 & 0.0714 & 0.0506 \tabularnewline
p-value & (0.3955) & (0.3999) & (0.388) \tabularnewline
EX;LFM & 0.0174 & -0.0184 & -0.0162 \tabularnewline
p-value & (0.8378) & (0.8288) & (0.7818) \tabularnewline
PR;PA & 0.1867 & 0.2151 & 0.1631 \tabularnewline
p-value & (0.0266) & (0.0104) & (0.0117) \tabularnewline
PR;NUM & -0.0095 & 0.0672 & 0.0464 \tabularnewline
p-value & (0.9106) & (0.4287) & (0.4552) \tabularnewline
PR;H & 0.3506 & 0.3853 & 0.2909 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PR;LFM & 0.5385 & 0.5406 & 0.4101 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PA;NUM & -0.154 & -0.1269 & -0.0955 \tabularnewline
p-value & (0.0683) & (0.1337) & (0.1329) \tabularnewline
PA;H & -0.0422 & -0.0115 & -0.0073 \tabularnewline
p-value & (0.6195) & (0.8928) & (0.906) \tabularnewline
PA;LFM & -0.1506 & -0.1254 & -0.0902 \tabularnewline
p-value & (0.0746) & (0.1384) & (0.1425) \tabularnewline
NUM;H & 0.1171 & 0.1175 & 0.0817 \tabularnewline
p-value & (0.1668) & (0.1652) & (0.1673) \tabularnewline
NUM;LFM & -0.0055 & 0.0413 & 0.0285 \tabularnewline
p-value & (0.9485) & (0.6268) & (0.6299) \tabularnewline
H;LFM & 0.5733 & 0.5813 & 0.4177 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285154&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]Totaal;EX[/C][C]0.9286[/C][C]0.9143[/C][C]0.7837[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Totaal;PR[/C][C]0.6328[/C][C]0.6183[/C][C]0.4593[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Totaal;PA[/C][C]0.4286[/C][C]0.4512[/C][C]0.3405[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Totaal;NUM[/C][C]0.1086[/C][C]0.156[/C][C]0.1098[/C][/ROW]
[ROW][C]p-value[/C][C](0.1997)[/C][C](0.0648)[/C][C](0.063)[/C][/ROW]
[ROW][C]Totaal;H[/C][C]0.2023[/C][C]0.1881[/C][C]0.131[/C][/ROW]
[ROW][C]p-value[/C][C](0.0162)[/C][C](0.0255)[/C][C](0.0221)[/C][/ROW]
[ROW][C]Totaal;LFM[/C][C]0.2137[/C][C]0.1651[/C][C]0.1202[/C][/ROW]
[ROW][C]p-value[/C][C](0.011)[/C][C](0.0504)[/C][C](0.0357)[/C][/ROW]
[ROW][C]EX;PR[/C][C]0.3476[/C][C]0.3348[/C][C]0.2503[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]EX;PA[/C][C]0.361[/C][C]0.3743[/C][C]0.2834[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]EX;NUM[/C][C]0.1819[/C][C]0.2346[/C][C]0.1659[/C][/ROW]
[ROW][C]p-value[/C][C](0.0309)[/C][C](0.0051)[/C][C](0.0061)[/C][/ROW]
[ROW][C]EX;H[/C][C]0.0721[/C][C]0.0714[/C][C]0.0506[/C][/ROW]
[ROW][C]p-value[/C][C](0.3955)[/C][C](0.3999)[/C][C](0.388)[/C][/ROW]
[ROW][C]EX;LFM[/C][C]0.0174[/C][C]-0.0184[/C][C]-0.0162[/C][/ROW]
[ROW][C]p-value[/C][C](0.8378)[/C][C](0.8288)[/C][C](0.7818)[/C][/ROW]
[ROW][C]PR;PA[/C][C]0.1867[/C][C]0.2151[/C][C]0.1631[/C][/ROW]
[ROW][C]p-value[/C][C](0.0266)[/C][C](0.0104)[/C][C](0.0117)[/C][/ROW]
[ROW][C]PR;NUM[/C][C]-0.0095[/C][C]0.0672[/C][C]0.0464[/C][/ROW]
[ROW][C]p-value[/C][C](0.9106)[/C][C](0.4287)[/C][C](0.4552)[/C][/ROW]
[ROW][C]PR;H[/C][C]0.3506[/C][C]0.3853[/C][C]0.2909[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PR;LFM[/C][C]0.5385[/C][C]0.5406[/C][C]0.4101[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PA;NUM[/C][C]-0.154[/C][C]-0.1269[/C][C]-0.0955[/C][/ROW]
[ROW][C]p-value[/C][C](0.0683)[/C][C](0.1337)[/C][C](0.1329)[/C][/ROW]
[ROW][C]PA;H[/C][C]-0.0422[/C][C]-0.0115[/C][C]-0.0073[/C][/ROW]
[ROW][C]p-value[/C][C](0.6195)[/C][C](0.8928)[/C][C](0.906)[/C][/ROW]
[ROW][C]PA;LFM[/C][C]-0.1506[/C][C]-0.1254[/C][C]-0.0902[/C][/ROW]
[ROW][C]p-value[/C][C](0.0746)[/C][C](0.1384)[/C][C](0.1425)[/C][/ROW]
[ROW][C]NUM;H[/C][C]0.1171[/C][C]0.1175[/C][C]0.0817[/C][/ROW]
[ROW][C]p-value[/C][C](0.1668)[/C][C](0.1652)[/C][C](0.1673)[/C][/ROW]
[ROW][C]NUM;LFM[/C][C]-0.0055[/C][C]0.0413[/C][C]0.0285[/C][/ROW]
[ROW][C]p-value[/C][C](0.9485)[/C][C](0.6268)[/C][C](0.6299)[/C][/ROW]
[ROW][C]H;LFM[/C][C]0.5733[/C][C]0.5813[/C][C]0.4177[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285154&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285154&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Totaal;EX	0.9286	0.9143	0.7837
p-value	(0)	(0)	(0)
Totaal;PR	0.6328	0.6183	0.4593
p-value	(0)	(0)	(0)
Totaal;PA	0.4286	0.4512	0.3405
p-value	(0)	(0)	(0)
Totaal;NUM	0.1086	0.156	0.1098
p-value	(0.1997)	(0.0648)	(0.063)
Totaal;H	0.2023	0.1881	0.131
p-value	(0.0162)	(0.0255)	(0.0221)
Totaal;LFM	0.2137	0.1651	0.1202
p-value	(0.011)	(0.0504)	(0.0357)
EX;PR	0.3476	0.3348	0.2503
p-value	(0)	(0)	(0)
EX;PA	0.361	0.3743	0.2834
p-value	(0)	(0)	(0)
EX;NUM	0.1819	0.2346	0.1659
p-value	(0.0309)	(0.0051)	(0.0061)
EX;H	0.0721	0.0714	0.0506
p-value	(0.3955)	(0.3999)	(0.388)
EX;LFM	0.0174	-0.0184	-0.0162
p-value	(0.8378)	(0.8288)	(0.7818)
PR;PA	0.1867	0.2151	0.1631
p-value	(0.0266)	(0.0104)	(0.0117)
PR;NUM	-0.0095	0.0672	0.0464
p-value	(0.9106)	(0.4287)	(0.4552)
PR;H	0.3506	0.3853	0.2909
p-value	(0)	(0)	(0)
PR;LFM	0.5385	0.5406	0.4101
p-value	(0)	(0)	(0)
PA;NUM	-0.154	-0.1269	-0.0955
p-value	(0.0683)	(0.1337)	(0.1329)
PA;H	-0.0422	-0.0115	-0.0073
p-value	(0.6195)	(0.8928)	(0.906)
PA;LFM	-0.1506	-0.1254	-0.0902
p-value	(0.0746)	(0.1384)	(0.1425)
NUM;H	0.1171	0.1175	0.0817
p-value	(0.1668)	(0.1652)	(0.1673)
NUM;LFM	-0.0055	0.0413	0.0285
p-value	(0.9485)	(0.6268)	(0.6299)
H;LFM	0.5733	0.5813	0.4177
p-value	(0)	(0)	(0)

Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I error	Pearson r	Spearman rho	Kendall tau
0.01	0.38	0.43	0.43
0.02	0.48	0.48	0.48
0.03	0.52	0.52	0.52
0.04	0.57	0.52	0.57
0.05	0.57	0.52	0.57
0.06	0.57	0.57	0.57
0.07	0.62	0.62	0.62
0.08	0.67	0.62	0.62
0.09	0.67	0.62	0.62
0.1	0.67	0.62	0.62

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Correlation Tests \tabularnewline
Number of significant by total number of Correlations \tabularnewline
Type I error & Pearson r & Spearman rho & Kendall tau \tabularnewline
0.01 & 0.38 & 0.43 & 0.43 \tabularnewline
0.02 & 0.48 & 0.48 & 0.48 \tabularnewline
0.03 & 0.52 & 0.52 & 0.52 \tabularnewline
0.04 & 0.57 & 0.52 & 0.57 \tabularnewline
0.05 & 0.57 & 0.52 & 0.57 \tabularnewline
0.06 & 0.57 & 0.57 & 0.57 \tabularnewline
0.07 & 0.62 & 0.62 & 0.62 \tabularnewline
0.08 & 0.67 & 0.62 & 0.62 \tabularnewline
0.09 & 0.67 & 0.62 & 0.62 \tabularnewline
0.1 & 0.67 & 0.62 & 0.62 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285154&T=3

[TABLE]
[ROW][C]Meta Analysis of Correlation Tests[/C][/ROW]
[ROW][C]Number of significant by total number of Correlations[/C][/ROW]
[ROW][C]Type I error[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]0.01[/C][C]0.38[/C][C]0.43[/C][C]0.43[/C][/ROW]
[ROW][C]0.02[/C][C]0.48[/C][C]0.48[/C][C]0.48[/C][/ROW]
[ROW][C]0.03[/C][C]0.52[/C][C]0.52[/C][C]0.52[/C][/ROW]
[ROW][C]0.04[/C][C]0.57[/C][C]0.52[/C][C]0.57[/C][/ROW]
[ROW][C]0.05[/C][C]0.57[/C][C]0.52[/C][C]0.57[/C][/ROW]
[ROW][C]0.06[/C][C]0.57[/C][C]0.57[/C][C]0.57[/C][/ROW]
[ROW][C]0.07[/C][C]0.62[/C][C]0.62[/C][C]0.62[/C][/ROW]
[ROW][C]0.08[/C][C]0.67[/C][C]0.62[/C][C]0.62[/C][/ROW]
[ROW][C]0.09[/C][C]0.67[/C][C]0.62[/C][C]0.62[/C][/ROW]
[ROW][C]0.1[/C][C]0.67[/C][C]0.62[/C][C]0.62[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285154&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285154&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I error	Pearson r	Spearman rho	Kendall tau
0.01	0.38	0.43	0.43
0.02	0.48	0.48	0.48
0.03	0.52	0.52	0.52
0.04	0.57	0.52	0.57
0.05	0.57	0.52	0.57
0.06	0.57	0.57	0.57
0.07	0.62	0.62	0.62
0.08	0.67	0.62	0.62
0.09	0.67	0.62	0.62
0.1	0.67	0.62	0.62

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = pearson ;

Parameters (R input):

par1 = pearson ;

R code (references can be found in the software module):

panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
x <- na.omit(x)
y <- t(na.omit(t(y)))
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
ncorrs <- (n*n -n)/2
mycorrs <- array(0, dim=c(10,3))
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
for (iii in 1:10) {
iiid100 <- iii / 100
if (rp$p.value < iiid100) mycorrs[iii, 1] = mycorrs[iii, 1] + 1
if (rs$p.value < iiid100) mycorrs[iii, 2] = mycorrs[iii, 2] + 1
if (rk$p.value < iiid100) mycorrs[iii, 3] = mycorrs[iii, 3] + 1
}
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Correlation Tests',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of significant by total number of Correlations',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Type I error',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
for (iii in 1:10) {
iiid100 <- iii / 100
a<-table.row.start(a)
a<-table.element(a,round(iiid100,2),header=T)
a<-table.element(a,round(mycorrs[iii,1]/ncorrs,2))
a<-table.element(a,round(mycorrs[iii,2]/ncorrs,2))
a<-table.element(a,round(mycorrs[iii,3]/ncorrs,2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code