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R Software Module

Patrick.Wessarwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 10 Dec 2010 18:48:26 +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/10/t1292007284ly770h3sxon037e.htm/, Retrieved Mon, 29 Apr 2024 10:19:48 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107888, Retrieved Mon, 29 Apr 2024 10:19:48 +0000

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Estimated Impact

149

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] [b4ba846736d082ffaee409a197f454c7] [Current]
-   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] [fc9068db680cd880760a7c0fccd81a61] 
- R  D        [Kendall tau Correlation Matrix] [Paper Kendall Tau...] [2010-12-18 14:44:41] [6ca0fc48dd5333d51a15728999009c83] 
-   P           [Kendall tau Correlation Matrix] [Paper Pearson Cor...] [2010-12-18 15:17:54] [6ca0fc48dd5333d51a15728999009c83] 
-   P             [Kendall tau Correlation Matrix] [Paper Kendall Tau...] [2010-12-19 12:12:09] [6ca0fc48dd5333d51a15728999009c83] 
F           [Kendall tau Correlation Matrix] [] [2010-12-14 18:38:42] [fc9068db680cd880760a7c0fccd81a61] 

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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	3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107888&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]3 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=107888&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107888&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	3 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Correlations for all pairs of data series (method=pearson)
	Gender	Anxiety	Mistakes	Doubts	Expectations	Critism	Pstandards	Organization
Gender	1	-0.154	-0.013	-0.036	0.065	0.024	0.031	-0.044
Anxiety	-0.154	1	-0.115	-0.039	0.032	-0.124	-0.049	-0.037
Mistakes	-0.013	-0.115	1	0.376	0.329	0.239	0.424	0.082
Doubts	-0.036	-0.039	0.376	1	0.009	0.087	-0.032	0.067
Expectations	0.065	0.032	0.329	0.009	1	0.562	0.251	-0.105
Critism	0.024	-0.124	0.239	0.087	0.562	1	0.171	-0.184
Pstandards	0.031	-0.049	0.424	-0.032	0.251	0.171	1	0.382
Organization	-0.044	-0.037	0.082	0.067	-0.105	-0.184	0.382	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Gender & Anxiety & Mistakes & Doubts & Expectations & Critism & Pstandards & Organization \tabularnewline
Gender & 1 & -0.154 & -0.013 & -0.036 & 0.065 & 0.024 & 0.031 & -0.044 \tabularnewline
Anxiety & -0.154 & 1 & -0.115 & -0.039 & 0.032 & -0.124 & -0.049 & -0.037 \tabularnewline
Mistakes & -0.013 & -0.115 & 1 & 0.376 & 0.329 & 0.239 & 0.424 & 0.082 \tabularnewline
Doubts & -0.036 & -0.039 & 0.376 & 1 & 0.009 & 0.087 & -0.032 & 0.067 \tabularnewline
Expectations & 0.065 & 0.032 & 0.329 & 0.009 & 1 & 0.562 & 0.251 & -0.105 \tabularnewline
Critism & 0.024 & -0.124 & 0.239 & 0.087 & 0.562 & 1 & 0.171 & -0.184 \tabularnewline
Pstandards & 0.031 & -0.049 & 0.424 & -0.032 & 0.251 & 0.171 & 1 & 0.382 \tabularnewline
Organization & -0.044 & -0.037 & 0.082 & 0.067 & -0.105 & -0.184 & 0.382 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107888&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/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]-0.154[/C][C]-0.013[/C][C]-0.036[/C][C]0.065[/C][C]0.024[/C][C]0.031[/C][C]-0.044[/C][/ROW]
[ROW][C]Anxiety[/C][C]-0.154[/C][C]1[/C][C]-0.115[/C][C]-0.039[/C][C]0.032[/C][C]-0.124[/C][C]-0.049[/C][C]-0.037[/C][/ROW]
[ROW][C]Mistakes[/C][C]-0.013[/C][C]-0.115[/C][C]1[/C][C]0.376[/C][C]0.329[/C][C]0.239[/C][C]0.424[/C][C]0.082[/C][/ROW]
[ROW][C]Doubts[/C][C]-0.036[/C][C]-0.039[/C][C]0.376[/C][C]1[/C][C]0.009[/C][C]0.087[/C][C]-0.032[/C][C]0.067[/C][/ROW]
[ROW][C]Expectations[/C][C]0.065[/C][C]0.032[/C][C]0.329[/C][C]0.009[/C][C]1[/C][C]0.562[/C][C]0.251[/C][C]-0.105[/C][/ROW]
[ROW][C]Critism[/C][C]0.024[/C][C]-0.124[/C][C]0.239[/C][C]0.087[/C][C]0.562[/C][C]1[/C][C]0.171[/C][C]-0.184[/C][/ROW]
[ROW][C]Pstandards[/C][C]0.031[/C][C]-0.049[/C][C]0.424[/C][C]-0.032[/C][C]0.251[/C][C]0.171[/C][C]1[/C][C]0.382[/C][/ROW]
[ROW][C]Organization[/C][C]-0.044[/C][C]-0.037[/C][C]0.082[/C][C]0.067[/C][C]-0.105[/C][C]-0.184[/C][C]0.382[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107888&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107888&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)
	Gender	Anxiety	Mistakes	Doubts	Expectations	Critism	Pstandards	Organization
Gender	1	-0.154	-0.013	-0.036	0.065	0.024	0.031	-0.044
Anxiety	-0.154	1	-0.115	-0.039	0.032	-0.124	-0.049	-0.037
Mistakes	-0.013	-0.115	1	0.376	0.329	0.239	0.424	0.082
Doubts	-0.036	-0.039	0.376	1	0.009	0.087	-0.032	0.067
Expectations	0.065	0.032	0.329	0.009	1	0.562	0.251	-0.105
Critism	0.024	-0.124	0.239	0.087	0.562	1	0.171	-0.184
Pstandards	0.031	-0.049	0.424	-0.032	0.251	0.171	1	0.382
Organization	-0.044	-0.037	0.082	0.067	-0.105	-0.184	0.382	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=107888&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=107888&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107888&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 = 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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$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