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Patrick.Wessarwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Tue, 14 Dec 2010 18:43:37 +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/2010/Dec/14/t1292352112c52w9okauz5uyvd.htm/, Retrieved Fri, 03 May 2024 00:40:28 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110004, Retrieved Fri, 03 May 2024 00:40:28 +0000

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User-defined keywords

Estimated Impact

155

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
-   PD  [Kendall tau Correlation Matrix] [Pearson Correlati...] [2010-12-10 18:48:26] [6ca0fc48dd5333d51a15728999009c83]
-   P     [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2010-12-11 06:56:04] [6ca0fc48dd5333d51a15728999009c83]
F             [Kendall tau Correlation Matrix] [] [2010-12-14 18:43:37] [a8abc7260f3c847aeac0a796e7895a2e] [Current]

Feedback Forum

2010-12-19 07:59:55 [48eb36e2c01435ad7e4ea7854a9d98fe] [reply] 
De student past hier correct de 'Kendall Tau Correlation' toe. Voor de interpretatie wordt verwezen naar de gewone Pearson correlatie. Ondanks het feit dat de interpretatie daar zeer beperkt was, was het wel correct. 

Post a new message

Dataseries X:

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0	69	26	9	15	6	25	25
1	53	20	9	15	6	25	24
1	43	21	9	14	13	19	21
0	60	31	14	10	8	18	23
1	49	21	8	10	7	18	17
1	62	18	8	12	9	22	19
1	45	26	11	18	5	29	18
1	50	22	10	12	8	26	27
1	75	22	9	14	9	25	23
1	82	29	15	18	11	23	23
0	60	15	14	9	8	23	29
1	59	16	11	11	11	23	21
1	21	24	14	11	12	24	26
1	62	17	6	17	8	30	25
0	54	19	20	8	7	19	25
1	47	22	9	16	9	24	23
1	59	31	10	21	12	32	26
0	37	28	8	24	20	30	20
0	43	38	11	21	7	29	29
1	48	26	14	14	8	17	24
0	79	25	11	7	8	25	23
0	62	25	16	18	16	26	24
1	16	29	14	18	10	26	30
0	38	28	11	13	6	25	22
1	58	15	11	11	8	23	22
0	60	18	12	13	9	21	13
0	67	21	9	13	9	19	24
0	55	25	7	18	11	35	17
1	47	23	13	14	12	19	24
0	59	23	10	12	8	20	21
1	49	19	9	9	7	21	23
0	47	18	9	12	8	21	24
1	57	18	13	8	9	24	24
0	39	26	16	5	4	23	24
1	49	18	12	10	8	19	23
1	26	18	6	11	8	17	26
0	53	28	14	11	8	24	24
0	75	17	14	12	6	15	21
1	65	29	10	12	8	25	23
1	49	12	4	15	4	27	28
0	48	25	12	12	7	29	23
0	45	28	12	16	14	27	22
0	31	20	14	14	10	18	24
1	61	17	9	17	9	25	21
1	49	17	9	13	6	22	23
1	69	20	10	10	8	26	23
0	54	31	14	17	11	23	20
0	80	21	10	12	8	16	23
0	57	19	9	13	8	27	21
0	34	23	14	13	10	25	27
0	69	15	8	11	8	14	12
1	44	24	9	13	10	19	15
0	70	28	8	12	7	20	22
0	51	16	9	12	8	16	21
1	66	19	9	12	7	18	21
1	18	21	9	9	9	22	20
1	74	21	15	7	5	21	24
1	59	20	8	17	7	22	24
0	48	16	10	12	7	22	29
1	55	25	8	12	7	32	25
0	44	30	14	9	9	23	14
0	56	29	11	9	5	31	30
0	65	22	10	13	8	18	19
0	77	19	12	10	8	23	29
1	46	33	14	11	8	26	25
0	70	17	9	12	9	24	25
1	39	9	13	10	6	19	25
0	55	14	15	13	8	14	16
0	44	15	8	6	6	20	25
0	45	12	7	7	4	22	28
1	45	21	10	13	6	24	24
0	49	20	10	11	4	25	25
1	65	29	13	18	12	21	21
0	45	33	11	9	6	28	22
0	71	21	8	9	11	24	20
1	48	15	12	11	8	20	25
1	41	19	9	11	10	21	27
0	40	23	10	15	10	23	21
1	64	20	11	8	4	13	13
0	56	20	11	11	8	24	26
0	52	18	10	14	9	21	26
1	41	31	16	14	9	21	25
1	42	18	16	12	7	17	22
0	54	13	8	12	7	14	19
1	40	9	6	8	11	29	23
1	40	20	11	11	8	25	25
0	51	18	12	10	8	16	15
1	48	23	14	17	7	25	21
0	80	17	9	16	5	25	23
0	38	17	11	13	7	21	25
0	57	16	8	15	9	23	24
1	28	31	8	11	8	22	24
1	51	15	7	12	6	19	21
1	46	28	16	16	8	24	24
1	58	26	13	20	10	26	22
1	67	20	8	16	10	25	24
1	72	19	11	11	8	20	28
1	26	25	14	15	11	22	21
1	54	18	10	15	8	14	17
0	53	20	10	12	8	20	28
1	64	33	14	9	6	32	24
1	47	24	14	24	20	21	10
1	43	22	10	15	6	22	20
1	66	32	12	18	12	28	22
1	54	31	9	17	9	25	19
1	62	13	16	12	5	17	22
1	52	18	8	15	10	21	22
1	64	17	9	11	5	23	26
1	55	29	16	11	6	27	24
0	57	22	13	15	10	22	22
1	74	18	13	12	6	19	20
1	32	22	8	14	10	20	20
1	38	25	14	11	5	17	15
1	66	20	11	20	13	24	20
0	37	20	9	11	7	21	20
1	26	17	8	12	9	21	24
1	64	21	13	17	11	23	22
1	28	26	13	12	8	24	29
0	66	10	10	11	5	19	23
1	65	15	8	10	4	22	24
1	48	20	7	11	9	26	22
1	44	14	11	12	7	17	16
0	64	16	11	9	5	17	23
1	39	23	14	8	5	19	27
1	50	11	6	6	4	15	16
1	66	19	10	12	7	17	21
0	48	30	9	15	9	27	26
0	70	21	12	13	8	19	22
0	66	20	11	17	8	21	23
1	61	22	14	14	11	25	19
1	31	30	12	16	10	19	18
0	61	25	14	15	9	22	24
1	54	28	8	16	12	18	24
1	34	23	14	11	10	20	29
0	62	23	8	11	10	15	22
1	47	21	11	16	7	20	24
1	52	30	12	15	10	29	22
0	37	22	9	14	6	19	12
1	46	32	16	9	6	29	26
0	38	22	11	13	11	24	18
1	63	15	11	11	8	23	22
0	34	21	12	14	9	22	24
1	46	27	15	11	9	23	21
1	40	22	13	12	13	22	15
1	30	9	6	8	11	29	23
1	35	29	11	7	4	26	22
1	51	20	7	11	9	26	22
1	56	16	8	13	5	21	24
1	68	16	8	9	4	18	23
1	39	16	9	12	9	10	13
0	44	18	12	10	8	19	23
1	58	16	9	12	9	10	13

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110004&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110004&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110004&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	4 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Correlations for all pairs of data series (method=kendall)
	Gender	Anxiety	Mistakes	Doubts	Expectations	Critism	Pstandards	Organization
Gender	1	-0.103	-0.001	-0.027	0.036	0.045	0.039	-0.04
Anxiety	-0.103	1	-0.104	-0.047	0.029	-0.064	-0.029	-0.042
Mistakes	-0.001	-0.104	1	0.29	0.223	0.201	0.306	0.022
Doubts	-0.027	-0.047	0.29	1	0.007	0.043	-0.001	0.062
Expectations	0.036	0.029	0.223	0.007	1	0.343	0.152	-0.103
Critism	0.045	-0.064	0.201	0.043	0.343	1	0.122	-0.124
Pstandards	0.039	-0.029	0.306	-0.001	0.152	0.122	1	0.22
Organization	-0.04	-0.042	0.022	0.062	-0.103	-0.124	0.22	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & Gender & Anxiety & Mistakes & Doubts & Expectations & Critism & Pstandards & Organization \tabularnewline
Gender & 1 & -0.103 & -0.001 & -0.027 & 0.036 & 0.045 & 0.039 & -0.04 \tabularnewline
Anxiety & -0.103 & 1 & -0.104 & -0.047 & 0.029 & -0.064 & -0.029 & -0.042 \tabularnewline
Mistakes & -0.001 & -0.104 & 1 & 0.29 & 0.223 & 0.201 & 0.306 & 0.022 \tabularnewline
Doubts & -0.027 & -0.047 & 0.29 & 1 & 0.007 & 0.043 & -0.001 & 0.062 \tabularnewline
Expectations & 0.036 & 0.029 & 0.223 & 0.007 & 1 & 0.343 & 0.152 & -0.103 \tabularnewline
Critism & 0.045 & -0.064 & 0.201 & 0.043 & 0.343 & 1 & 0.122 & -0.124 \tabularnewline
Pstandards & 0.039 & -0.029 & 0.306 & -0.001 & 0.152 & 0.122 & 1 & 0.22 \tabularnewline
Organization & -0.04 & -0.042 & 0.022 & 0.062 & -0.103 & -0.124 & 0.22 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110004&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]Gender[/C][C]Anxiety[/C][C]Mistakes[/C][C]Doubts[/C][C]Expectations[/C][C]Critism[/C][C]Pstandards[/C][C]Organization[/C][/ROW]
[ROW][C]Gender[/C][C]1[/C][C]-0.103[/C][C]-0.001[/C][C]-0.027[/C][C]0.036[/C][C]0.045[/C][C]0.039[/C][C]-0.04[/C][/ROW]
[ROW][C]Anxiety[/C][C]-0.103[/C][C]1[/C][C]-0.104[/C][C]-0.047[/C][C]0.029[/C][C]-0.064[/C][C]-0.029[/C][C]-0.042[/C][/ROW]
[ROW][C]Mistakes[/C][C]-0.001[/C][C]-0.104[/C][C]1[/C][C]0.29[/C][C]0.223[/C][C]0.201[/C][C]0.306[/C][C]0.022[/C][/ROW]
[ROW][C]Doubts[/C][C]-0.027[/C][C]-0.047[/C][C]0.29[/C][C]1[/C][C]0.007[/C][C]0.043[/C][C]-0.001[/C][C]0.062[/C][/ROW]
[ROW][C]Expectations[/C][C]0.036[/C][C]0.029[/C][C]0.223[/C][C]0.007[/C][C]1[/C][C]0.343[/C][C]0.152[/C][C]-0.103[/C][/ROW]
[ROW][C]Critism[/C][C]0.045[/C][C]-0.064[/C][C]0.201[/C][C]0.043[/C][C]0.343[/C][C]1[/C][C]0.122[/C][C]-0.124[/C][/ROW]
[ROW][C]Pstandards[/C][C]0.039[/C][C]-0.029[/C][C]0.306[/C][C]-0.001[/C][C]0.152[/C][C]0.122[/C][C]1[/C][C]0.22[/C][/ROW]
[ROW][C]Organization[/C][C]-0.04[/C][C]-0.042[/C][C]0.022[/C][C]0.062[/C][C]-0.103[/C][C]-0.124[/C][C]0.22[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110004&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110004&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=kendall)
	Gender	Anxiety	Mistakes	Doubts	Expectations	Critism	Pstandards	Organization
Gender	1	-0.103	-0.001	-0.027	0.036	0.045	0.039	-0.04
Anxiety	-0.103	1	-0.104	-0.047	0.029	-0.064	-0.029	-0.042
Mistakes	-0.001	-0.104	1	0.29	0.223	0.201	0.306	0.022
Doubts	-0.027	-0.047	0.29	1	0.007	0.043	-0.001	0.062
Expectations	0.036	0.029	0.223	0.007	1	0.343	0.152	-0.103
Critism	0.045	-0.064	0.201	0.043	0.343	1	0.122	-0.124
Pstandards	0.039	-0.029	0.306	-0.001	0.152	0.122	1	0.22
Organization	-0.04	-0.042	0.022	0.062	-0.103	-0.124	0.22	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Gender;Anxiety	-0.154	-0.1252	-0.1035
p-value	(0.0581)	(0.1245)	(0.1241)
Gender;Mistakes	-0.013	-0.0012	-0.001
p-value	(0.8735)	(0.988)	(0.988)
Gender;Doubts	-0.0363	-0.031	-0.0267
p-value	(0.6567)	(0.7048)	(0.7035)
Gender;Expectations	0.065	0.0423	0.0362
p-value	(0.4266)	(0.6046)	(0.6029)
Gender;Critism	0.0237	0.0524	0.0454
p-value	(0.7715)	(0.5213)	(0.5195)
Gender;Pstandards	0.0313	0.0457	0.0386
p-value	(0.7023)	(0.576)	(0.5743)
Gender;Organization	-0.0442	-0.0471	-0.0401
p-value	(0.5888)	(0.5647)	(0.563)
Anxiety;Mistakes	-0.1148	-0.1562	-0.1039
p-value	(0.1589)	(0.0546)	(0.066)
Anxiety;Doubts	-0.0393	-0.0655	-0.0469
p-value	(0.6305)	(0.423)	(0.4191)
Anxiety;Expectations	0.0321	0.039	0.0294
p-value	(0.695)	(0.6333)	(0.6098)
Anxiety;Critism	-0.1242	-0.0977	-0.0637
p-value	(0.1273)	(0.2312)	(0.2744)
Anxiety;Pstandards	-0.0485	-0.0386	-0.0287
p-value	(0.5527)	(0.6369)	(0.6134)
Anxiety;Organization	-0.0373	-0.0596	-0.0418
p-value	(0.6483)	(0.4656)	(0.4666)
Mistakes;Doubts	0.3758	0.3831	0.2901
p-value	(0)	(0)	(0)
Mistakes;Expectations	0.3289	0.2923	0.2233
p-value	(0)	(3e-04)	(1e-04)
Mistakes;Critism	0.2394	0.2628	0.2008
p-value	(0.003)	(0.0011)	(7e-04)
Mistakes;Pstandards	0.4243	0.4136	0.3058
p-value	(0)	(0)	(0)
Mistakes;Organization	0.0819	0.0349	0.0224
p-value	(0.3159)	(0.6696)	(0.7011)
Doubts;Expectations	0.0092	0.0125	0.0075
p-value	(0.9107)	(0.8782)	(0.9009)
Doubts;Critism	0.0866	0.0612	0.043
p-value	(0.2887)	(0.4537)	(0.4789)
Doubts;Pstandards	-0.0321	-0.0019	-9e-04
p-value	(0.6945)	(0.9813)	(0.9884)
Doubts;Organization	0.0667	0.0856	0.0623
p-value	(0.4141)	(0.2946)	(0.2974)
Expectations;Critism	0.5623	0.435	0.3427
p-value	(0)	(0)	(0)
Expectations;Pstandards	0.2513	0.197	0.1515
p-value	(0.0018)	(0.015)	(0.0099)
Expectations;Organization	-0.1048	-0.1382	-0.1027
p-value	(0.1988)	(0.0896)	(0.0834)
Critism;Pstandards	0.1714	0.1631	0.1216
p-value	(0.0347)	(0.0446)	(0.0412)
Critism;Organization	-0.1841	-0.1685	-0.124
p-value	(0.0232)	(0.038)	(0.0391)
Pstandards;Organization	0.3824	0.303	0.2204
p-value	(0)	(1e-04)	(2e-04)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Gender;Anxiety & -0.154 & -0.1252 & -0.1035 \tabularnewline
p-value & (0.0581) & (0.1245) & (0.1241) \tabularnewline
Gender;Mistakes & -0.013 & -0.0012 & -0.001 \tabularnewline
p-value & (0.8735) & (0.988) & (0.988) \tabularnewline
Gender;Doubts & -0.0363 & -0.031 & -0.0267 \tabularnewline
p-value & (0.6567) & (0.7048) & (0.7035) \tabularnewline
Gender;Expectations & 0.065 & 0.0423 & 0.0362 \tabularnewline
p-value & (0.4266) & (0.6046) & (0.6029) \tabularnewline
Gender;Critism & 0.0237 & 0.0524 & 0.0454 \tabularnewline
p-value & (0.7715) & (0.5213) & (0.5195) \tabularnewline
Gender;Pstandards & 0.0313 & 0.0457 & 0.0386 \tabularnewline
p-value & (0.7023) & (0.576) & (0.5743) \tabularnewline
Gender;Organization & -0.0442 & -0.0471 & -0.0401 \tabularnewline
p-value & (0.5888) & (0.5647) & (0.563) \tabularnewline
Anxiety;Mistakes & -0.1148 & -0.1562 & -0.1039 \tabularnewline
p-value & (0.1589) & (0.0546) & (0.066) \tabularnewline
Anxiety;Doubts & -0.0393 & -0.0655 & -0.0469 \tabularnewline
p-value & (0.6305) & (0.423) & (0.4191) \tabularnewline
Anxiety;Expectations & 0.0321 & 0.039 & 0.0294 \tabularnewline
p-value & (0.695) & (0.6333) & (0.6098) \tabularnewline
Anxiety;Critism & -0.1242 & -0.0977 & -0.0637 \tabularnewline
p-value & (0.1273) & (0.2312) & (0.2744) \tabularnewline
Anxiety;Pstandards & -0.0485 & -0.0386 & -0.0287 \tabularnewline
p-value & (0.5527) & (0.6369) & (0.6134) \tabularnewline
Anxiety;Organization & -0.0373 & -0.0596 & -0.0418 \tabularnewline
p-value & (0.6483) & (0.4656) & (0.4666) \tabularnewline
Mistakes;Doubts & 0.3758 & 0.3831 & 0.2901 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Mistakes;Expectations & 0.3289 & 0.2923 & 0.2233 \tabularnewline
p-value & (0) & (3e-04) & (1e-04) \tabularnewline
Mistakes;Critism & 0.2394 & 0.2628 & 0.2008 \tabularnewline
p-value & (0.003) & (0.0011) & (7e-04) \tabularnewline
Mistakes;Pstandards & 0.4243 & 0.4136 & 0.3058 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Mistakes;Organization & 0.0819 & 0.0349 & 0.0224 \tabularnewline
p-value & (0.3159) & (0.6696) & (0.7011) \tabularnewline
Doubts;Expectations & 0.0092 & 0.0125 & 0.0075 \tabularnewline
p-value & (0.9107) & (0.8782) & (0.9009) \tabularnewline
Doubts;Critism & 0.0866 & 0.0612 & 0.043 \tabularnewline
p-value & (0.2887) & (0.4537) & (0.4789) \tabularnewline
Doubts;Pstandards & -0.0321 & -0.0019 & -9e-04 \tabularnewline
p-value & (0.6945) & (0.9813) & (0.9884) \tabularnewline
Doubts;Organization & 0.0667 & 0.0856 & 0.0623 \tabularnewline
p-value & (0.4141) & (0.2946) & (0.2974) \tabularnewline
Expectations;Critism & 0.5623 & 0.435 & 0.3427 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Expectations;Pstandards & 0.2513 & 0.197 & 0.1515 \tabularnewline
p-value & (0.0018) & (0.015) & (0.0099) \tabularnewline
Expectations;Organization & -0.1048 & -0.1382 & -0.1027 \tabularnewline
p-value & (0.1988) & (0.0896) & (0.0834) \tabularnewline
Critism;Pstandards & 0.1714 & 0.1631 & 0.1216 \tabularnewline
p-value & (0.0347) & (0.0446) & (0.0412) \tabularnewline
Critism;Organization & -0.1841 & -0.1685 & -0.124 \tabularnewline
p-value & (0.0232) & (0.038) & (0.0391) \tabularnewline
Pstandards;Organization & 0.3824 & 0.303 & 0.2204 \tabularnewline
p-value & (0) & (1e-04) & (2e-04) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110004&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]Gender;Anxiety[/C][C]-0.154[/C][C]-0.1252[/C][C]-0.1035[/C][/ROW]
[ROW][C]p-value[/C][C](0.0581)[/C][C](0.1245)[/C][C](0.1241)[/C][/ROW]
[ROW][C]Gender;Mistakes[/C][C]-0.013[/C][C]-0.0012[/C][C]-0.001[/C][/ROW]
[ROW][C]p-value[/C][C](0.8735)[/C][C](0.988)[/C][C](0.988)[/C][/ROW]
[ROW][C]Gender;Doubts[/C][C]-0.0363[/C][C]-0.031[/C][C]-0.0267[/C][/ROW]
[ROW][C]p-value[/C][C](0.6567)[/C][C](0.7048)[/C][C](0.7035)[/C][/ROW]
[ROW][C]Gender;Expectations[/C][C]0.065[/C][C]0.0423[/C][C]0.0362[/C][/ROW]
[ROW][C]p-value[/C][C](0.4266)[/C][C](0.6046)[/C][C](0.6029)[/C][/ROW]
[ROW][C]Gender;Critism[/C][C]0.0237[/C][C]0.0524[/C][C]0.0454[/C][/ROW]
[ROW][C]p-value[/C][C](0.7715)[/C][C](0.5213)[/C][C](0.5195)[/C][/ROW]
[ROW][C]Gender;Pstandards[/C][C]0.0313[/C][C]0.0457[/C][C]0.0386[/C][/ROW]
[ROW][C]p-value[/C][C](0.7023)[/C][C](0.576)[/C][C](0.5743)[/C][/ROW]
[ROW][C]Gender;Organization[/C][C]-0.0442[/C][C]-0.0471[/C][C]-0.0401[/C][/ROW]
[ROW][C]p-value[/C][C](0.5888)[/C][C](0.5647)[/C][C](0.563)[/C][/ROW]
[ROW][C]Anxiety;Mistakes[/C][C]-0.1148[/C][C]-0.1562[/C][C]-0.1039[/C][/ROW]
[ROW][C]p-value[/C][C](0.1589)[/C][C](0.0546)[/C][C](0.066)[/C][/ROW]
[ROW][C]Anxiety;Doubts[/C][C]-0.0393[/C][C]-0.0655[/C][C]-0.0469[/C][/ROW]
[ROW][C]p-value[/C][C](0.6305)[/C][C](0.423)[/C][C](0.4191)[/C][/ROW]
[ROW][C]Anxiety;Expectations[/C][C]0.0321[/C][C]0.039[/C][C]0.0294[/C][/ROW]
[ROW][C]p-value[/C][C](0.695)[/C][C](0.6333)[/C][C](0.6098)[/C][/ROW]
[ROW][C]Anxiety;Critism[/C][C]-0.1242[/C][C]-0.0977[/C][C]-0.0637[/C][/ROW]
[ROW][C]p-value[/C][C](0.1273)[/C][C](0.2312)[/C][C](0.2744)[/C][/ROW]
[ROW][C]Anxiety;Pstandards[/C][C]-0.0485[/C][C]-0.0386[/C][C]-0.0287[/C][/ROW]
[ROW][C]p-value[/C][C](0.5527)[/C][C](0.6369)[/C][C](0.6134)[/C][/ROW]
[ROW][C]Anxiety;Organization[/C][C]-0.0373[/C][C]-0.0596[/C][C]-0.0418[/C][/ROW]
[ROW][C]p-value[/C][C](0.6483)[/C][C](0.4656)[/C][C](0.4666)[/C][/ROW]
[ROW][C]Mistakes;Doubts[/C][C]0.3758[/C][C]0.3831[/C][C]0.2901[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Mistakes;Expectations[/C][C]0.3289[/C][C]0.2923[/C][C]0.2233[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](3e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Mistakes;Critism[/C][C]0.2394[/C][C]0.2628[/C][C]0.2008[/C][/ROW]
[ROW][C]p-value[/C][C](0.003)[/C][C](0.0011)[/C][C](7e-04)[/C][/ROW]
[ROW][C]Mistakes;Pstandards[/C][C]0.4243[/C][C]0.4136[/C][C]0.3058[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Mistakes;Organization[/C][C]0.0819[/C][C]0.0349[/C][C]0.0224[/C][/ROW]
[ROW][C]p-value[/C][C](0.3159)[/C][C](0.6696)[/C][C](0.7011)[/C][/ROW]
[ROW][C]Doubts;Expectations[/C][C]0.0092[/C][C]0.0125[/C][C]0.0075[/C][/ROW]
[ROW][C]p-value[/C][C](0.9107)[/C][C](0.8782)[/C][C](0.9009)[/C][/ROW]
[ROW][C]Doubts;Critism[/C][C]0.0866[/C][C]0.0612[/C][C]0.043[/C][/ROW]
[ROW][C]p-value[/C][C](0.2887)[/C][C](0.4537)[/C][C](0.4789)[/C][/ROW]
[ROW][C]Doubts;Pstandards[/C][C]-0.0321[/C][C]-0.0019[/C][C]-9e-04[/C][/ROW]
[ROW][C]p-value[/C][C](0.6945)[/C][C](0.9813)[/C][C](0.9884)[/C][/ROW]
[ROW][C]Doubts;Organization[/C][C]0.0667[/C][C]0.0856[/C][C]0.0623[/C][/ROW]
[ROW][C]p-value[/C][C](0.4141)[/C][C](0.2946)[/C][C](0.2974)[/C][/ROW]
[ROW][C]Expectations;Critism[/C][C]0.5623[/C][C]0.435[/C][C]0.3427[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Expectations;Pstandards[/C][C]0.2513[/C][C]0.197[/C][C]0.1515[/C][/ROW]
[ROW][C]p-value[/C][C](0.0018)[/C][C](0.015)[/C][C](0.0099)[/C][/ROW]
[ROW][C]Expectations;Organization[/C][C]-0.1048[/C][C]-0.1382[/C][C]-0.1027[/C][/ROW]
[ROW][C]p-value[/C][C](0.1988)[/C][C](0.0896)[/C][C](0.0834)[/C][/ROW]
[ROW][C]Critism;Pstandards[/C][C]0.1714[/C][C]0.1631[/C][C]0.1216[/C][/ROW]
[ROW][C]p-value[/C][C](0.0347)[/C][C](0.0446)[/C][C](0.0412)[/C][/ROW]
[ROW][C]Critism;Organization[/C][C]-0.1841[/C][C]-0.1685[/C][C]-0.124[/C][/ROW]
[ROW][C]p-value[/C][C](0.0232)[/C][C](0.038)[/C][C](0.0391)[/C][/ROW]
[ROW][C]Pstandards;Organization[/C][C]0.3824[/C][C]0.303[/C][C]0.2204[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110004&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110004&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
Gender;Anxiety	-0.154	-0.1252	-0.1035
p-value	(0.0581)	(0.1245)	(0.1241)
Gender;Mistakes	-0.013	-0.0012	-0.001
p-value	(0.8735)	(0.988)	(0.988)
Gender;Doubts	-0.0363	-0.031	-0.0267
p-value	(0.6567)	(0.7048)	(0.7035)
Gender;Expectations	0.065	0.0423	0.0362
p-value	(0.4266)	(0.6046)	(0.6029)
Gender;Critism	0.0237	0.0524	0.0454
p-value	(0.7715)	(0.5213)	(0.5195)
Gender;Pstandards	0.0313	0.0457	0.0386
p-value	(0.7023)	(0.576)	(0.5743)
Gender;Organization	-0.0442	-0.0471	-0.0401
p-value	(0.5888)	(0.5647)	(0.563)
Anxiety;Mistakes	-0.1148	-0.1562	-0.1039
p-value	(0.1589)	(0.0546)	(0.066)
Anxiety;Doubts	-0.0393	-0.0655	-0.0469
p-value	(0.6305)	(0.423)	(0.4191)
Anxiety;Expectations	0.0321	0.039	0.0294
p-value	(0.695)	(0.6333)	(0.6098)
Anxiety;Critism	-0.1242	-0.0977	-0.0637
p-value	(0.1273)	(0.2312)	(0.2744)
Anxiety;Pstandards	-0.0485	-0.0386	-0.0287
p-value	(0.5527)	(0.6369)	(0.6134)
Anxiety;Organization	-0.0373	-0.0596	-0.0418
p-value	(0.6483)	(0.4656)	(0.4666)
Mistakes;Doubts	0.3758	0.3831	0.2901
p-value	(0)	(0)	(0)
Mistakes;Expectations	0.3289	0.2923	0.2233
p-value	(0)	(3e-04)	(1e-04)
Mistakes;Critism	0.2394	0.2628	0.2008
p-value	(0.003)	(0.0011)	(7e-04)
Mistakes;Pstandards	0.4243	0.4136	0.3058
p-value	(0)	(0)	(0)
Mistakes;Organization	0.0819	0.0349	0.0224
p-value	(0.3159)	(0.6696)	(0.7011)
Doubts;Expectations	0.0092	0.0125	0.0075
p-value	(0.9107)	(0.8782)	(0.9009)
Doubts;Critism	0.0866	0.0612	0.043
p-value	(0.2887)	(0.4537)	(0.4789)
Doubts;Pstandards	-0.0321	-0.0019	-9e-04
p-value	(0.6945)	(0.9813)	(0.9884)
Doubts;Organization	0.0667	0.0856	0.0623
p-value	(0.4141)	(0.2946)	(0.2974)
Expectations;Critism	0.5623	0.435	0.3427
p-value	(0)	(0)	(0)
Expectations;Pstandards	0.2513	0.197	0.1515
p-value	(0.0018)	(0.015)	(0.0099)
Expectations;Organization	-0.1048	-0.1382	-0.1027
p-value	(0.1988)	(0.0896)	(0.0834)
Critism;Pstandards	0.1714	0.1631	0.1216
p-value	(0.0347)	(0.0446)	(0.0412)
Critism;Organization	-0.1841	-0.1685	-0.124
p-value	(0.0232)	(0.038)	(0.0391)
Pstandards;Organization	0.3824	0.303	0.2204
p-value	(0)	(1e-04)	(2e-04)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = kendall ;

Parameters (R input):

par1 = kendall ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;

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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
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)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code