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R Software Module

Patrick.Wessarwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Wed, 22 Dec 2010 08:34:36 +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/22/t1293006766it80eukysav85s0.htm/, Retrieved Mon, 06 May 2024 04:10:05 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114092, Retrieved Mon, 06 May 2024 04:10:05 +0000

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Estimated Impact

138

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]
- R PD  [Kendall tau Correlation Matrix] [Workshop 10; Pear...] [2010-12-13 21:11:58] [8ffb4cfa64b4677df0d2c448735a40bb]
-    D    [Kendall tau Correlation Matrix] [Workshop 10; Pear...] [2010-12-14 08:55:42] [8ffb4cfa64b4677df0d2c448735a40bb]
-    D        [Kendall tau Correlation Matrix] [Paper; Pearson Co...] [2010-12-22 08:34:36] [50e0b5177c9c80b42996aa89930b928a] [Current]
-   PD          [Kendall tau Correlation Matrix] [Paper; Kendall's ...] [2010-12-22 08:54:08] [8ffb4cfa64b4677df0d2c448735a40bb] 

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108,35	98,68	100,70	104,38	97,72	15.38	31.27
109,87	99,21	99,62	103,97	98,01	15.03	35.83
111,30	99,36	99,83	103,32	97,78	15.21	37.12
115,50	100,72	100,74	105,01	98,04	15.20	36.77
116,22	102,27	100,84	104,88	98,54	14.60	35.17
116,63	102,62	100,85	104,46	98,39	13.79	37.25
116,84	102,97	99,71	104,71	98,58	14.54	33.77
116,63	102,88	100,80	106,09	98,91	14.31	30.59
117,03	102,90	100,06	106,54	98,68	13.93	33.59
117,00	103,01	100,57	104,36	98,59	14.82	37.24
117,14	103,02	99,79	105,31	99,13	14.46	34.81
116,64	103,73	99,90	105,07	98,70	14.85	34.94
117,24	104,18	100,12	105,39	99,00	14.95	34.47
117,52	103,73	100,40	105,65	98,80	14.43	30.48
117,83	103,78	100,51	108,25	98,80	14.84	30.94
119,79	103,61	100,70	107,71	99,29	14.39	30.60
120,86	103,84	100,62	108,58	99,69	15.70	28.42
120,75	103,86	99,70	108,27	100,01	15.34	25.89
120,63	104,14	99,48	107,62	99,85	13.98	26.32
120,89	104,05	99,36	108,80	99,66	14.75	27.18
120,23	104,01	99,39	109,26	101,18	14.81	25.85
121,19	104,49	99,45	108,58	101,47	14.67	26.32
120,79	104,83	99,28	107,05	101,28	15.03	23.07
120,09	104,78	99,40	109,20	101,80	14.34	20.19
120,86	104,95	99,10	109,52	102,48	12.54	18.65
121,10	105,28	99,48	111,12	102,32	11.37	17.74
121,47	105,28	99,74	108,74	102,30	12.58	17.26
122,01	105,91	100,42	110,53	102,84	13.06	16.01
123,94	106,81	100,80	110,44	102,36	12.50	17.94
125,78	106,39	100,66	111,02	102,16	11.11	15.53
125,31	107,02	101,03	111,13	102,57	12.39	14.49
125,79	106,92	101,22	110,90	102,49	12.34	15.35
126,12	107,01	101,23	111,32	104,11	11.54	14.67
125,57	106,79	100,10	109,37	104,78	10.22	12.95
125,44	107,41	99,98	110,18	104,13	8.50	8.81
126,12	107,13	99,91	110,74	104,22	9.06	9.33
126,01	107,54	99,84	111,70	104,73	9.28	9.31
126,50	108,48	99,68	111,33	104,99	7.24	9.03
126,13	108,50	99,74	110,86	104,70	7.58	10.96
126,66	108,27	99,71	109,48	104,69	7.81	14.26
126,33	109,42	99,35	108,77	104,85	8.54	14.20
126,61	110,09	99,21	109,81	104,24	9.27	13.70
126,36	109,98	99,21	109,15	104,74	10.11	17.46
126,83	109,99	99,16	109,63	104,20	9.21	18.73
125,90	109,54	99,20	111,32	105,62	10.71	20.37
126,29	108,85	99,08	109,75	106,08	10.85	18.72
126,37	106,76	98,16	110,37	105,46	11.77	21.60
125,11	107,56	98,00	108,30	105,42	11.81	22.75

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=114092&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=114092&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114092&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=pearson)
	Coffee	Tea	Sugar	Water	Soda	SaraLee	Starbucks
Coffee	1	0.954	-0.286	0.881	0.912	-0.8	-0.863
Tea	0.954	1	-0.352	0.806	0.915	-0.838	-0.824
Sugar	-0.286	-0.352	1	-0.178	-0.459	0.271	0.196
Water	0.881	0.806	-0.178	1	0.834	-0.692	-0.902
Soda	0.912	0.915	-0.459	0.834	1	-0.858	-0.884
SaraLee	-0.8	-0.838	0.271	-0.692	-0.858	1	0.846
Starbucks	-0.863	-0.824	0.196	-0.902	-0.884	0.846	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Coffee & Tea & Sugar & Water & Soda & SaraLee & Starbucks \tabularnewline
Coffee & 1 & 0.954 & -0.286 & 0.881 & 0.912 & -0.8 & -0.863 \tabularnewline
Tea & 0.954 & 1 & -0.352 & 0.806 & 0.915 & -0.838 & -0.824 \tabularnewline
Sugar & -0.286 & -0.352 & 1 & -0.178 & -0.459 & 0.271 & 0.196 \tabularnewline
Water & 0.881 & 0.806 & -0.178 & 1 & 0.834 & -0.692 & -0.902 \tabularnewline
Soda & 0.912 & 0.915 & -0.459 & 0.834 & 1 & -0.858 & -0.884 \tabularnewline
SaraLee & -0.8 & -0.838 & 0.271 & -0.692 & -0.858 & 1 & 0.846 \tabularnewline
Starbucks & -0.863 & -0.824 & 0.196 & -0.902 & -0.884 & 0.846 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114092&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Coffee[/C][C]Tea[/C][C]Sugar[/C][C]Water[/C][C]Soda[/C][C]SaraLee[/C][C]Starbucks[/C][/ROW]
[ROW][C]Coffee[/C][C]1[/C][C]0.954[/C][C]-0.286[/C][C]0.881[/C][C]0.912[/C][C]-0.8[/C][C]-0.863[/C][/ROW]
[ROW][C]Tea[/C][C]0.954[/C][C]1[/C][C]-0.352[/C][C]0.806[/C][C]0.915[/C][C]-0.838[/C][C]-0.824[/C][/ROW]
[ROW][C]Sugar[/C][C]-0.286[/C][C]-0.352[/C][C]1[/C][C]-0.178[/C][C]-0.459[/C][C]0.271[/C][C]0.196[/C][/ROW]
[ROW][C]Water[/C][C]0.881[/C][C]0.806[/C][C]-0.178[/C][C]1[/C][C]0.834[/C][C]-0.692[/C][C]-0.902[/C][/ROW]
[ROW][C]Soda[/C][C]0.912[/C][C]0.915[/C][C]-0.459[/C][C]0.834[/C][C]1[/C][C]-0.858[/C][C]-0.884[/C][/ROW]
[ROW][C]SaraLee[/C][C]-0.8[/C][C]-0.838[/C][C]0.271[/C][C]-0.692[/C][C]-0.858[/C][C]1[/C][C]0.846[/C][/ROW]
[ROW][C]Starbucks[/C][C]-0.863[/C][C]-0.824[/C][C]0.196[/C][C]-0.902[/C][C]-0.884[/C][C]0.846[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114092&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114092&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)
	Coffee	Tea	Sugar	Water	Soda	SaraLee	Starbucks
Coffee	1	0.954	-0.286	0.881	0.912	-0.8	-0.863
Tea	0.954	1	-0.352	0.806	0.915	-0.838	-0.824
Sugar	-0.286	-0.352	1	-0.178	-0.459	0.271	0.196
Water	0.881	0.806	-0.178	1	0.834	-0.692	-0.902
Soda	0.912	0.915	-0.459	0.834	1	-0.858	-0.884
SaraLee	-0.8	-0.838	0.271	-0.692	-0.858	1	0.846
Starbucks	-0.863	-0.824	0.196	-0.902	-0.884	0.846	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Coffee;Tea	0.9543	0.9551	0.8378
p-value	(0)	(0)	(0)
Coffee;Sugar	-0.2861	-0.3916	-0.2661
p-value	(0.0487)	(0.0059)	(0.0078)
Coffee;Water	0.8809	0.8317	0.6424
p-value	(0)	(0)	(0)
Coffee;Soda	0.9123	0.9312	0.7798
p-value	(0)	(0)	(0)
Coffee;SaraLee	-0.8005	-0.8414	-0.6554
p-value	(0)	(0)	(0)
Coffee;Starbucks	-0.8626	-0.8611	-0.675
p-value	(0)	(0)	(0)
Tea;Sugar	-0.3524	-0.4326	-0.3132
p-value	(0.014)	(0.0021)	(0.0018)
Tea;Water	0.8057	0.8115	0.6199
p-value	(0)	(0)	(0)
Tea;Soda	0.915	0.943	0.814
p-value	(0)	(0)	(0)
Tea;SaraLee	-0.8385	-0.8447	-0.6383
p-value	(0)	(0)	(0)
Tea;Starbucks	-0.824	-0.8561	-0.6862
p-value	(0)	(0)	(0)
Sugar;Water	-0.1779	-0.148	-0.121
p-value	(0.2263)	(0.3155)	(0.2266)
Sugar;Soda	-0.4587	-0.473	-0.3335
p-value	(0.001)	(7e-04)	(9e-04)
Sugar;SaraLee	0.271	0.2441	0.1289
p-value	(0.0625)	(0.0945)	(0.1974)
Sugar;Starbucks	0.1958	0.1902	0.1325
p-value	(0.1823)	(0.1952)	(0.1853)
Water;Soda	0.834	0.8183	0.6276
p-value	(0)	(0)	(0)
Water;SaraLee	-0.6916	-0.7482	-0.5264
p-value	(0)	(0)	(0)
Water;Starbucks	-0.9021	-0.876	-0.6986
p-value	(0)	(0)	(0)
Soda;SaraLee	-0.8581	-0.828	-0.6087
p-value	(0)	(0)	(0)
Soda;Starbucks	-0.8845	-0.8439	-0.6832
p-value	(0)	(0)	(0)
SaraLee;Starbucks	0.846	0.8269	0.6176
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
Coffee;Tea & 0.9543 & 0.9551 & 0.8378 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Coffee;Sugar & -0.2861 & -0.3916 & -0.2661 \tabularnewline
p-value & (0.0487) & (0.0059) & (0.0078) \tabularnewline
Coffee;Water & 0.8809 & 0.8317 & 0.6424 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Coffee;Soda & 0.9123 & 0.9312 & 0.7798 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Coffee;SaraLee & -0.8005 & -0.8414 & -0.6554 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Coffee;Starbucks & -0.8626 & -0.8611 & -0.675 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Tea;Sugar & -0.3524 & -0.4326 & -0.3132 \tabularnewline
p-value & (0.014) & (0.0021) & (0.0018) \tabularnewline
Tea;Water & 0.8057 & 0.8115 & 0.6199 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Tea;Soda & 0.915 & 0.943 & 0.814 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Tea;SaraLee & -0.8385 & -0.8447 & -0.6383 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Tea;Starbucks & -0.824 & -0.8561 & -0.6862 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Sugar;Water & -0.1779 & -0.148 & -0.121 \tabularnewline
p-value & (0.2263) & (0.3155) & (0.2266) \tabularnewline
Sugar;Soda & -0.4587 & -0.473 & -0.3335 \tabularnewline
p-value & (0.001) & (7e-04) & (9e-04) \tabularnewline
Sugar;SaraLee & 0.271 & 0.2441 & 0.1289 \tabularnewline
p-value & (0.0625) & (0.0945) & (0.1974) \tabularnewline
Sugar;Starbucks & 0.1958 & 0.1902 & 0.1325 \tabularnewline
p-value & (0.1823) & (0.1952) & (0.1853) \tabularnewline
Water;Soda & 0.834 & 0.8183 & 0.6276 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Water;SaraLee & -0.6916 & -0.7482 & -0.5264 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Water;Starbucks & -0.9021 & -0.876 & -0.6986 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Soda;SaraLee & -0.8581 & -0.828 & -0.6087 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Soda;Starbucks & -0.8845 & -0.8439 & -0.6832 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SaraLee;Starbucks & 0.846 & 0.8269 & 0.6176 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114092&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]Coffee;Tea[/C][C]0.9543[/C][C]0.9551[/C][C]0.8378[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Coffee;Sugar[/C][C]-0.2861[/C][C]-0.3916[/C][C]-0.2661[/C][/ROW]
[ROW][C]p-value[/C][C](0.0487)[/C][C](0.0059)[/C][C](0.0078)[/C][/ROW]
[ROW][C]Coffee;Water[/C][C]0.8809[/C][C]0.8317[/C][C]0.6424[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Coffee;Soda[/C][C]0.9123[/C][C]0.9312[/C][C]0.7798[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Coffee;SaraLee[/C][C]-0.8005[/C][C]-0.8414[/C][C]-0.6554[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Coffee;Starbucks[/C][C]-0.8626[/C][C]-0.8611[/C][C]-0.675[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Tea;Sugar[/C][C]-0.3524[/C][C]-0.4326[/C][C]-0.3132[/C][/ROW]
[ROW][C]p-value[/C][C](0.014)[/C][C](0.0021)[/C][C](0.0018)[/C][/ROW]
[ROW][C]Tea;Water[/C][C]0.8057[/C][C]0.8115[/C][C]0.6199[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Tea;Soda[/C][C]0.915[/C][C]0.943[/C][C]0.814[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Tea;SaraLee[/C][C]-0.8385[/C][C]-0.8447[/C][C]-0.6383[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Tea;Starbucks[/C][C]-0.824[/C][C]-0.8561[/C][C]-0.6862[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Sugar;Water[/C][C]-0.1779[/C][C]-0.148[/C][C]-0.121[/C][/ROW]
[ROW][C]p-value[/C][C](0.2263)[/C][C](0.3155)[/C][C](0.2266)[/C][/ROW]
[ROW][C]Sugar;Soda[/C][C]-0.4587[/C][C]-0.473[/C][C]-0.3335[/C][/ROW]
[ROW][C]p-value[/C][C](0.001)[/C][C](7e-04)[/C][C](9e-04)[/C][/ROW]
[ROW][C]Sugar;SaraLee[/C][C]0.271[/C][C]0.2441[/C][C]0.1289[/C][/ROW]
[ROW][C]p-value[/C][C](0.0625)[/C][C](0.0945)[/C][C](0.1974)[/C][/ROW]
[ROW][C]Sugar;Starbucks[/C][C]0.1958[/C][C]0.1902[/C][C]0.1325[/C][/ROW]
[ROW][C]p-value[/C][C](0.1823)[/C][C](0.1952)[/C][C](0.1853)[/C][/ROW]
[ROW][C]Water;Soda[/C][C]0.834[/C][C]0.8183[/C][C]0.6276[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Water;SaraLee[/C][C]-0.6916[/C][C]-0.7482[/C][C]-0.5264[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Water;Starbucks[/C][C]-0.9021[/C][C]-0.876[/C][C]-0.6986[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Soda;SaraLee[/C][C]-0.8581[/C][C]-0.828[/C][C]-0.6087[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Soda;Starbucks[/C][C]-0.8845[/C][C]-0.8439[/C][C]-0.6832[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SaraLee;Starbucks[/C][C]0.846[/C][C]0.8269[/C][C]0.6176[/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=114092&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114092&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
Coffee;Tea	0.9543	0.9551	0.8378
p-value	(0)	(0)	(0)
Coffee;Sugar	-0.2861	-0.3916	-0.2661
p-value	(0.0487)	(0.0059)	(0.0078)
Coffee;Water	0.8809	0.8317	0.6424
p-value	(0)	(0)	(0)
Coffee;Soda	0.9123	0.9312	0.7798
p-value	(0)	(0)	(0)
Coffee;SaraLee	-0.8005	-0.8414	-0.6554
p-value	(0)	(0)	(0)
Coffee;Starbucks	-0.8626	-0.8611	-0.675
p-value	(0)	(0)	(0)
Tea;Sugar	-0.3524	-0.4326	-0.3132
p-value	(0.014)	(0.0021)	(0.0018)
Tea;Water	0.8057	0.8115	0.6199
p-value	(0)	(0)	(0)
Tea;Soda	0.915	0.943	0.814
p-value	(0)	(0)	(0)
Tea;SaraLee	-0.8385	-0.8447	-0.6383
p-value	(0)	(0)	(0)
Tea;Starbucks	-0.824	-0.8561	-0.6862
p-value	(0)	(0)	(0)
Sugar;Water	-0.1779	-0.148	-0.121
p-value	(0.2263)	(0.3155)	(0.2266)
Sugar;Soda	-0.4587	-0.473	-0.3335
p-value	(0.001)	(7e-04)	(9e-04)
Sugar;SaraLee	0.271	0.2441	0.1289
p-value	(0.0625)	(0.0945)	(0.1974)
Sugar;Starbucks	0.1958	0.1902	0.1325
p-value	(0.1823)	(0.1952)	(0.1853)
Water;Soda	0.834	0.8183	0.6276
p-value	(0)	(0)	(0)
Water;SaraLee	-0.6916	-0.7482	-0.5264
p-value	(0)	(0)	(0)
Water;Starbucks	-0.9021	-0.876	-0.6986
p-value	(0)	(0)	(0)
Soda;SaraLee	-0.8581	-0.828	-0.6087
p-value	(0)	(0)	(0)
Soda;Starbucks	-0.8845	-0.8439	-0.6832
p-value	(0)	(0)	(0)
SaraLee;Starbucks	0.846	0.8269	0.6176
p-value	(0)	(0)	(0)

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