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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 14:34:58 +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/t1292337584vw7cj9tl0ki0l1x.htm/, Retrieved Thu, 02 May 2024 23:05:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109697, Retrieved Thu, 02 May 2024 23:05:29 +0000

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Estimated Impact

129

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] [WS10: pearson cor...] [2010-12-14 14:34:58] [4c7d8c32b2e34fcaa7f14928b91d45ae] [Current]
-   P       [Kendall tau Correlation Matrix] [WS10: kendall's t...] [2010-12-14 14:45:10] [d672a41e0af7ff107c03f1d65e47fd32] 
- R  D      [Kendall tau Correlation Matrix] [Pearson Correlati...] [2010-12-21 15:52:40] [d672a41e0af7ff107c03f1d65e47fd32] 
- R PD      [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2010-12-21 15:55:25] [d672a41e0af7ff107c03f1d65e47fd32] 
- R PD      [Kendall tau Correlation Matrix] [Spearman Correlat...] [2010-12-21 15:56:37] [d672a41e0af7ff107c03f1d65e47fd32] 

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1.0800	1.0100	1.6100	1.7700	1.3900	1.7700
1.0900	1.0000	1.5800	1.7700	1.3500	1.9800
1.1000	1.0000	1.6900	1.7700	1.3900	1.9400
1.1000	1.0000	1.7800	1.7700	1.3700	1.8500
1.1100	1.0600	1.7600	1.7400	1.3800	1.8400
1.1000	1.2200	1.8300	1.7800	1.5100	1.8200
1.1000	1.2400	1.8000	1.7800	1.5100	1.8300
1.1100	1.3400	1.5700	1.7800	1.4500	1.9100
1.1100	1.3000	1.4500	1.7800	1.3000	1.8500
1.1100	1.0500	1.4000	1.8100	1.2900	1.8100
1.1100	1.0000	1.5500	1.8400	1.4400	1.8300
1.1100	1.0000	1.5800	1.8000	1.4600	1.7900
1.1200	1.0100	1.5800	1.7800	1.5000	1.8000
1.1100	1.0200	1.5900	1.7600	1.3900	1.8200
1.1100	1.0600	1.8000	1.7400	1.4800	1.8800
1.1200	1.0900	1.9900	1.7200	1.5200	2.0100
1.1200	1.0900	2.0600	1.7300	1.6800	1.9700
1.1100	1.1500	2.0600	1.7700	1.7400	1.9200
1.1200	1.2500	2.0800	1.8100	1.7200	1.9800
1.1100	1.3700	2.0000	1.8300	1.7400	2.0200
1.1100	1.5100	1.8500	1.8700	1.8300	1.9000
1.1000	1.3500	1.7700	1.8900	1.9900	1.9400
1.1000	1.3200	1.7000	1.8200	1.8500	1.9600
1.1000	1.3000	1.6600	1.7900	1.6800	1.8400
1.1100	1.3900	1.6700	1.7900	1.6200	1.8700
1.1000	1.4000	1.7300	1.8200	1.6200	1.8400
1.1000	1.3900	1.9100	1.8200	1.6400	2.0700
1.0900	1.4200	2.0200	1.8100	1.5900	2.0800
1.1000	1.4400	2.0700	1.8100	1.6300	2.1400
1.1000	1.4400	2.1500	1.7800	1.6800	2.1500
1.1100	1.4500	2.1000	1.8000	1.5900	2.0500
1.1300	1.3900	1.6800	1.7900	1.5400	2.0500
1.1300	1.4800	1.6800	1.8300	1.5100	1.9500
1.1300	1.3200	1.6500	1.8200	1.5000	2.0200
1.1300	1.2900	1.7200	1.8000	1.7100	2.0200
1.1400	1.3100	1.7300	1.8200	1.6000	1.8800
1.1400	1.2700	1.7600	1.8400	1.5500	1.9600
1.1400	1.3800	1.8400	1.8200	1.6300	1.9300
1.1500	1.3800	1.9900	1.8100	1.6400	2.0300
1.1500	1.4500	2.0500	1.7900	1.6800	2.1000
1.1500	1.5000	2.1200	1.8700	1.7200	1.9500
1.1500	1.6300	2.1300	1.8900	1.7600	2.0700
1.1500	1.7300	2.0800	1.9200	1.8400	2.0900
1.1500	1.8400	1.8800	1.9000	1.8900	2.0100
1.1400	1.7500	1.8100	1.9100	1.8600	1.9200
1.1400	1.3400	1.8100	1.9500	1.8100	1.9900
1.1400	1.3600	1.8800	2.0400	1.8300	2.1100
1.1300	1.3300	1.8700	1.9900	1.7200	2.0000
1.1200	1.3700	1.8700	1.9400	1.5900	2.0900
1.1300	1.3900	1.9000	1.9300	1.6600	2.0400
1.1300	1.4000	2.0100	1.8900	1.5900	2.0900
1.1300	1.4000	2.0500	1.8700	1.6000	2.0900
1.1200	1.4300	2.1600	1.8900	1.5600	2.1300
1.1300	1.5200	2.1800	1.9000	1.6000	2.1300
1.1200	1.5400	2.1500	1.9300	1.6200	2.1700
1.1200	1.8500	2.1200	1.9400	1.6000	2.1300
1.1100	1.8300	2.0400	1.8800	1.6000	2.0000
1.1100	1.2900	2.0400	1.8900	1.6800	2.0500
1.1100	1.2000	2.0600	1.9200	1.7700	2.0800
1.1100	1.2000	1.9300	1.9100	1.7500	2.0700
1.1400	1.2100	1.8600	1.8900	1.7600	2.1200
1.1500	1.2100	1.9400	1.8900	1.8900	2.1300
1.1500	1.1900	2.3500	1.9800	1.8800	2.1600
1.1600	1.1800	2.4600	2.0200	1.9000	2.2500
1.1500	1.1700	2.5900	2.0200	1.9100	2.2600
1.1600	1.2200	2.6600	1.9900	1.9100	2.3900
1.1300	1.2500	2.4100	1.9700	1.8400	2.3600
1.1300	1.3000	2.1800	1.9600	1.6900	2.2600
1.1200	1.3300	2.1300	1.9500	1.6100	2.2600
1.1200	1.1800	2.1100	1.9800	1.6700	2.2700
1.1100	1.1800	2.1200	2.0000	1.8400	2.2900
1.1100	1.1900	2.1600	2.0000	1.8400	2.2100

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109697&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]2 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=109697&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109697&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	2 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Correlations for all pairs of data series (method=pearson)
	Vruchtesappen	Jonagold	Sinaasappelen	Citroenen	Pompelmoezen	Bananen
Vruchtesappen	1	0.309	0.448	0.498	0.495	0.434
Jonagold	0.309	1	0.24	0.278	0.357	0.227
Sinaasappelen	0.448	0.24	1	0.607	0.624	0.83
Citroenen	0.498	0.278	0.607	1	0.663	0.724
Pompelmoezen	0.495	0.357	0.624	0.663	1	0.572
Bananen	0.434	0.227	0.83	0.724	0.572	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Vruchtesappen & Jonagold & Sinaasappelen & Citroenen & Pompelmoezen & Bananen \tabularnewline
Vruchtesappen & 1 & 0.309 & 0.448 & 0.498 & 0.495 & 0.434 \tabularnewline
Jonagold & 0.309 & 1 & 0.24 & 0.278 & 0.357 & 0.227 \tabularnewline
Sinaasappelen & 0.448 & 0.24 & 1 & 0.607 & 0.624 & 0.83 \tabularnewline
Citroenen & 0.498 & 0.278 & 0.607 & 1 & 0.663 & 0.724 \tabularnewline
Pompelmoezen & 0.495 & 0.357 & 0.624 & 0.663 & 1 & 0.572 \tabularnewline
Bananen & 0.434 & 0.227 & 0.83 & 0.724 & 0.572 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109697&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Vruchtesappen[/C][C]Jonagold[/C][C]Sinaasappelen[/C][C]Citroenen[/C][C]Pompelmoezen[/C][C]Bananen[/C][/ROW]
[ROW][C]Vruchtesappen[/C][C]1[/C][C]0.309[/C][C]0.448[/C][C]0.498[/C][C]0.495[/C][C]0.434[/C][/ROW]
[ROW][C]Jonagold[/C][C]0.309[/C][C]1[/C][C]0.24[/C][C]0.278[/C][C]0.357[/C][C]0.227[/C][/ROW]
[ROW][C]Sinaasappelen[/C][C]0.448[/C][C]0.24[/C][C]1[/C][C]0.607[/C][C]0.624[/C][C]0.83[/C][/ROW]
[ROW][C]Citroenen[/C][C]0.498[/C][C]0.278[/C][C]0.607[/C][C]1[/C][C]0.663[/C][C]0.724[/C][/ROW]
[ROW][C]Pompelmoezen[/C][C]0.495[/C][C]0.357[/C][C]0.624[/C][C]0.663[/C][C]1[/C][C]0.572[/C][/ROW]
[ROW][C]Bananen[/C][C]0.434[/C][C]0.227[/C][C]0.83[/C][C]0.724[/C][C]0.572[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109697&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109697&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)
	Vruchtesappen	Jonagold	Sinaasappelen	Citroenen	Pompelmoezen	Bananen
Vruchtesappen	1	0.309	0.448	0.498	0.495	0.434
Jonagold	0.309	1	0.24	0.278	0.357	0.227
Sinaasappelen	0.448	0.24	1	0.607	0.624	0.83
Citroenen	0.498	0.278	0.607	1	0.663	0.724
Pompelmoezen	0.495	0.357	0.624	0.663	1	0.572
Bananen	0.434	0.227	0.83	0.724	0.572	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Vruchtesappen;Jonagold	0.3088	0.2571	0.1866
p-value	(0.0083)	(0.0293)	(0.031)
Vruchtesappen;Sinaasappelen	0.4482	0.3774	0.2832
p-value	(1e-04)	(0.0011)	(0.001)
Vruchtesappen;Citroenen	0.4977	0.5168	0.3769
p-value	(0)	(0)	(0)
Vruchtesappen;Pompelmoezen	0.495	0.4457	0.3478
p-value	(0)	(1e-04)	(1e-04)
Vruchtesappen;Bananen	0.4345	0.4211	0.3029
p-value	(1e-04)	(2e-04)	(5e-04)
Jonagold;Sinaasappelen	0.2403	0.2844	0.2045
p-value	(0.042)	(0.0155)	(0.012)
Jonagold;Citroenen	0.2778	0.2777	0.1705
p-value	(0.0181)	(0.0182)	(0.0388)
Jonagold;Pompelmoezen	0.3569	0.2415	0.1478
p-value	(0.0021)	(0.041)	(0.0709)
Jonagold;Bananen	0.2266	0.2678	0.1912
p-value	(0.0556)	(0.0229)	(0.0192)
Sinaasappelen;Citroenen	0.6069	0.579	0.4195
p-value	(0)	(0)	(0)
Sinaasappelen;Pompelmoezen	0.6236	0.5746	0.4202
p-value	(0)	(0)	(0)
Sinaasappelen;Bananen	0.8296	0.8229	0.6318
p-value	(0)	(0)	(0)
Citroenen;Pompelmoezen	0.6629	0.6567	0.4839
p-value	(0)	(0)	(0)
Citroenen;Bananen	0.7237	0.6922	0.5096
p-value	(0)	(0)	(0)
Pompelmoezen;Bananen	0.5715	0.5347	0.386
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
Vruchtesappen;Jonagold & 0.3088 & 0.2571 & 0.1866 \tabularnewline
p-value & (0.0083) & (0.0293) & (0.031) \tabularnewline
Vruchtesappen;Sinaasappelen & 0.4482 & 0.3774 & 0.2832 \tabularnewline
p-value & (1e-04) & (0.0011) & (0.001) \tabularnewline
Vruchtesappen;Citroenen & 0.4977 & 0.5168 & 0.3769 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Vruchtesappen;Pompelmoezen & 0.495 & 0.4457 & 0.3478 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
Vruchtesappen;Bananen & 0.4345 & 0.4211 & 0.3029 \tabularnewline
p-value & (1e-04) & (2e-04) & (5e-04) \tabularnewline
Jonagold;Sinaasappelen & 0.2403 & 0.2844 & 0.2045 \tabularnewline
p-value & (0.042) & (0.0155) & (0.012) \tabularnewline
Jonagold;Citroenen & 0.2778 & 0.2777 & 0.1705 \tabularnewline
p-value & (0.0181) & (0.0182) & (0.0388) \tabularnewline
Jonagold;Pompelmoezen & 0.3569 & 0.2415 & 0.1478 \tabularnewline
p-value & (0.0021) & (0.041) & (0.0709) \tabularnewline
Jonagold;Bananen & 0.2266 & 0.2678 & 0.1912 \tabularnewline
p-value & (0.0556) & (0.0229) & (0.0192) \tabularnewline
Sinaasappelen;Citroenen & 0.6069 & 0.579 & 0.4195 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Sinaasappelen;Pompelmoezen & 0.6236 & 0.5746 & 0.4202 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Sinaasappelen;Bananen & 0.8296 & 0.8229 & 0.6318 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Citroenen;Pompelmoezen & 0.6629 & 0.6567 & 0.4839 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Citroenen;Bananen & 0.7237 & 0.6922 & 0.5096 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pompelmoezen;Bananen & 0.5715 & 0.5347 & 0.386 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109697&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]Vruchtesappen;Jonagold[/C][C]0.3088[/C][C]0.2571[/C][C]0.1866[/C][/ROW]
[ROW][C]p-value[/C][C](0.0083)[/C][C](0.0293)[/C][C](0.031)[/C][/ROW]
[ROW][C]Vruchtesappen;Sinaasappelen[/C][C]0.4482[/C][C]0.3774[/C][C]0.2832[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0.0011)[/C][C](0.001)[/C][/ROW]
[ROW][C]Vruchtesappen;Citroenen[/C][C]0.4977[/C][C]0.5168[/C][C]0.3769[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Vruchtesappen;Pompelmoezen[/C][C]0.495[/C][C]0.4457[/C][C]0.3478[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Vruchtesappen;Bananen[/C][C]0.4345[/C][C]0.4211[/C][C]0.3029[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](2e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]Jonagold;Sinaasappelen[/C][C]0.2403[/C][C]0.2844[/C][C]0.2045[/C][/ROW]
[ROW][C]p-value[/C][C](0.042)[/C][C](0.0155)[/C][C](0.012)[/C][/ROW]
[ROW][C]Jonagold;Citroenen[/C][C]0.2778[/C][C]0.2777[/C][C]0.1705[/C][/ROW]
[ROW][C]p-value[/C][C](0.0181)[/C][C](0.0182)[/C][C](0.0388)[/C][/ROW]
[ROW][C]Jonagold;Pompelmoezen[/C][C]0.3569[/C][C]0.2415[/C][C]0.1478[/C][/ROW]
[ROW][C]p-value[/C][C](0.0021)[/C][C](0.041)[/C][C](0.0709)[/C][/ROW]
[ROW][C]Jonagold;Bananen[/C][C]0.2266[/C][C]0.2678[/C][C]0.1912[/C][/ROW]
[ROW][C]p-value[/C][C](0.0556)[/C][C](0.0229)[/C][C](0.0192)[/C][/ROW]
[ROW][C]Sinaasappelen;Citroenen[/C][C]0.6069[/C][C]0.579[/C][C]0.4195[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Sinaasappelen;Pompelmoezen[/C][C]0.6236[/C][C]0.5746[/C][C]0.4202[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Sinaasappelen;Bananen[/C][C]0.8296[/C][C]0.8229[/C][C]0.6318[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Citroenen;Pompelmoezen[/C][C]0.6629[/C][C]0.6567[/C][C]0.4839[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Citroenen;Bananen[/C][C]0.7237[/C][C]0.6922[/C][C]0.5096[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pompelmoezen;Bananen[/C][C]0.5715[/C][C]0.5347[/C][C]0.386[/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=109697&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109697&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
Vruchtesappen;Jonagold	0.3088	0.2571	0.1866
p-value	(0.0083)	(0.0293)	(0.031)
Vruchtesappen;Sinaasappelen	0.4482	0.3774	0.2832
p-value	(1e-04)	(0.0011)	(0.001)
Vruchtesappen;Citroenen	0.4977	0.5168	0.3769
p-value	(0)	(0)	(0)
Vruchtesappen;Pompelmoezen	0.495	0.4457	0.3478
p-value	(0)	(1e-04)	(1e-04)
Vruchtesappen;Bananen	0.4345	0.4211	0.3029
p-value	(1e-04)	(2e-04)	(5e-04)
Jonagold;Sinaasappelen	0.2403	0.2844	0.2045
p-value	(0.042)	(0.0155)	(0.012)
Jonagold;Citroenen	0.2778	0.2777	0.1705
p-value	(0.0181)	(0.0182)	(0.0388)
Jonagold;Pompelmoezen	0.3569	0.2415	0.1478
p-value	(0.0021)	(0.041)	(0.0709)
Jonagold;Bananen	0.2266	0.2678	0.1912
p-value	(0.0556)	(0.0229)	(0.0192)
Sinaasappelen;Citroenen	0.6069	0.579	0.4195
p-value	(0)	(0)	(0)
Sinaasappelen;Pompelmoezen	0.6236	0.5746	0.4202
p-value	(0)	(0)	(0)
Sinaasappelen;Bananen	0.8296	0.8229	0.6318
p-value	(0)	(0)	(0)
Citroenen;Pompelmoezen	0.6629	0.6567	0.4839
p-value	(0)	(0)	(0)
Citroenen;Bananen	0.7237	0.6922	0.5096
p-value	(0)	(0)	(0)
Pompelmoezen;Bananen	0.5715	0.5347	0.386
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