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R Software Module

Patrick.Wessarwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Tue, 14 Dec 2010 18:38:42 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/14/t1292351804mt7ufrsjkksbinx.htm/, Retrieved Fri, 03 May 2024 03:33:37 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110000, Retrieved Fri, 03 May 2024 03:33:37 +0000

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No (this computation is public)

User-defined keywords

Estimated Impact

130

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]
F           [Kendall tau Correlation Matrix] [] [2010-12-14 18:38:42] [a8abc7260f3c847aeac0a796e7895a2e] [Current]

Feedback Forum

2010-12-19 07:57:10 [48eb36e2c01435ad7e4ea7854a9d98fe] [reply] 
De student maakt hier op een correcte manier gebruik van de software, maar de interpretatie is naar mijn mening niet volledig. 
 
De student beoordeelt op correcte wijze de correlatiecoefficienten en spreekt ook over de P waarden die inderdaad aanduiden of deze correlatiecoefficienten al dan niet significant verschillen van nul.  
 
Waar de student echter niets over zegt is dat alle variabelen normaal verdeeld moeten te zijn opdat met deze P waarde mag interpreteren. Vandaar dat er ook histogrammen werden opgenomen in de tabel. Men stelt vast dat dit hier niet het geval is en dus moet men zich baseren op een ander type correlatie.

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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	'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110000&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110000&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110000&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	'George Udny Yule' @ 72.249.76.132

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=110000&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=110000&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110000&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=110000&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=110000&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110000&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 ; 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