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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software ModulePatrick.Wessarwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationSun, 19 Dec 2010 14:19:12 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/19/t129276835347f5euycrcnpe27.htm/, Retrieved Sun, 05 May 2024 00:10:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112417, Retrieved Sun, 05 May 2024 00:10:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124

Tree of Dependent Computations

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] [] [2010-12-14 16:59:04] [1908ef7bb1a3d37a854f5aaad1a1c348]
-    D      [Kendall tau Correlation Matrix] [] [2010-12-19 14:19:12] [23ca1b0f6f6de1e008a90be3f55e3db8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.3067	8.7000	113.0000	2579.3900	19.6000	18.9000	3.0000	-2.0000	16.0000
1.2894	8.9000	95.4000	2504.5800	16.0000	16.6000	3.0000	-4.0000	17.0000
1.2770	8.9000	86.2000	2462.3200	17.7000	17.2000	7.0000	-4.0000	23.0000
1.2208	8.1000	111.7000	2467.3800	19.8000	19.2000	4.0000	-7.0000	24.0000
1.2565	8.0000	97.5000	2446.6600	17.0000	17.1000	-4.0000	-9.0000	27.0000
1.3406	8.3000	99.7000	2656.3200	17.4000	17.7000	-6.0000	-13.0000	31.0000
1.3569	8.5000	111.5000	2626.1500	18.9000	18.7000	8.0000	-8.0000	40.0000
1.3686	8.7000	91.8000	2482.6000	15.7000	15.9000	2.0000	-13.0000	47.0000
1.4272	8.6000	86.3000	2539.9100	15.2000	16.0000	-1.0000	-15.0000	43.0000
1.4614	8.3000	88.7000	2502.6600	15.8000	16.8000	-2.0000	-15.0000	60.0000
1.4914	7.9000	95.1000	2466.9200	16.0000	16.0000	0.0000	-15.0000	64.0000
1.4816	7.9000	105.1000	2513.1700	16.1000	16.8000	10.0000	-10.0000	65.0000
1.4562	8.1000	104.5000	2443.2700	16.2000	16.3000	3.0000	-12.0000	65.0000
1.4268	8.3000	89.1000	2293.4100	12.5000	13.6000	6.0000	-11.0000	55.0000
1.4088	8.1000	82.6000	2070.8300	14.8000	14.3000	7.0000	-11.0000	57.0000
1.4016	7.4000	102.7000	2029.6000	15.4000	15.5000	-4.0000	-17.0000	57.0000
1.3650	7.3000	91.8000	2052.0200	13.6000	13.9000	-5.0000	-18.0000	57.0000
1.3190	7.7000	94.1000	1864.4400	14.2000	14.3000	-7.0000	-19.0000	65.0000
1.3050	8.0000	103.1000	1670.0700	15.0000	15.8000	-10.0000	-22.0000	69.0000
1.2785	8.0000	93.2000	1810.9900	14.1000	14.5000	-21.0000	-24.0000	70.0000
1.3239	7.7000	91.0000	1905.4100	13.7000	15.1000	-22.0000	-24.0000	71.0000
1.3449	6.9000	94.3000	1862.8300	14.4000	15.8000	-16.0000	-20.0000	71.0000
1.2732	6.6000	99.4000	2014.4500	15.6000	17.2000	-25.0000	-25.0000	73.0000
1.3322	6.9000	115.7000	2197.8200	19.7000	20.4000	-22.0000	-22.0000	68.0000
1.4369	7.5000	116.8000	2962.3400	20.4000	21.3000	-22.0000	-17.0000	65.0000
1.4975	7.9000	99.8000	3047.0300	16.1000	18.2000	-19.0000	-9.0000	57.0000
1.5770	7.7000	96.0000	3032.6000	20.1000	20.2000	-21.0000	-11.0000	41.0000
1.5553	6.5000	115.9000	3504.3700	20.6000	21.1000	-31.0000	-13.0000	21.0000
1.5557	6.1000	109.1000	3801.0600	19.3000	19.7000	-28.0000	-11.0000	21.0000
1.5750	6.4000	117.3000	3857.6200	20.5000	21.5000	-23.0000	-9.0000	17.0000
1.5527	6.8000	109.8000	3674.4000	19.2000	20.2000	-17.0000	-7.0000	9.0000
1.4748	7.1000	112.8000	3720.9800	19.0000	19.0000	-12.0000	-3.0000	11.0000
1.4718	7.3000	110.7000	3844.4900	18.7000	20.2000	-14.0000	-3.0000	6.0000
1.4570	7.2000	100.0000	4116.6800	16.5000	18.0000	-18.0000	-6.0000	-2.0000
1.4684	7.0000	113.3000	4105.1800	19.0000	19.5000	-16.0000	-4.0000	0.0000
1.4227	7.0000	122.4000	4435.2300	20.5000	20.3000	-22.0000	-8.0000	5.0000
1.3896	7.0000	112.5000	4296.4900	18.4000	18.0000	-9.0000	-1.0000	3.0000
1.3622	7.3000	104.2000	4202.5200	16.2000	16.4000	-10.0000	-2.0000	7.0000
1.3716	7.5000	92.5000	4562.8400	18.1000	17.8000	-10.0000	-2.0000	4.0000
1.3419	7.2000	117.2000	4621.4000	19.3000	18.5000	0.0000	-1.0000	8.0000
1.3511	7.7000	109.3000	4696.9600	18.3000	18.2000	3.0000	1.0000	9.0000
1.3516	8.0000	106.1000	4591.2700	17.2000	16.7000	2.0000	2.0000	14.0000
1.3242	7.9000	118.8000	4356.9800	19.6000	19.1000	4.0000	2.0000	12.0000
1.3074	8.0000	105.3000	4502.6400	17.2000	16.8000	-3.0000	-1.0000	12.0000
1.2999	8.0000	106.0000	4443.9100	17.4000	17.5000	0.0000	1.0000	7.0000
1.3213	7.9000	102.0000	4290.8900	16.0000	16.2000	-1.0000	-1.0000	15.0000
1.2881	7.9000	112.9000	4199.7500	18.5000	17.9000	-7.0000	-8.0000	14.0000
1.2611	8.0000	116.5000	4138.5200	18.4000	17.7000	2.0000	1.0000	19.0000
1.2727	8.1000	114.8000	3970.1000	18.2000	17.2000	3.0000	2.0000	39.0000
1.2811	8.1000	100.5000	3862.2700	14.9000	15.7000	-3.0000	-2.0000	12.0000
1.2684	8.2000	85.4000	3701.6100	16.3000	15.2000	-5.0000	-2.0000	11.0000
1.2650	8.0000	114.6000	3570.1200	18.3000	17.7000	0.0000	-2.0000	17.0000
1.2770	8.3000	109.9000	3801.0600	18.0000	17.4000	-3.0000	-2.0000	16.0000
1.2271	8.5000	100.7000	3895.5100	15.9000	15.9000	-7.0000	-6.0000	25.0000
1.2020	8.6000	115.5000	3917.9600	19.6000	19.7000	-7.0000	-4.0000	24.0000
1.1938	8.7000	100.7000	3813.0600	16.6000	16.7000	-7.0000	-5.0000	28.0000
1.2103	8.7000	99.0000	3667.0300	16.2000	16.9000	-4.0000	-2.0000	25.0000
1.1856	8.5000	102.3000	3494.1700	16.6000	18.0000	-3.0000	-1.0000	31.0000
1.1786	8.4000	108.8000	3363.9900	17.5000	17.6000	-6.0000	-5.0000	24.0000
1.2015	8.5000	105.9000	3295.3200	16.2000	15.2000	-10.0000	-9.0000	24.0000
1.2256	8.7000	113.2000	3277.0100	17.5000	16.5000	-10.0000	-8.0000	33.0000
1.2292	8.7000	95.7000	3257.1600	13.8000	14.7000	-23.0000	-14.0000	37.0000
1.2037	8.6000	80.9000	3161.6900	14.9000	14.1000	-13.0000	-10.0000	35.0000
1.2165	7.9000	113.9000	3097.3100	17.2000	16.9000	-18.0000	-11.0000	37.0000
1.2694	8.1000	98.1000	3061.2600	15.6000	15.2000	-16.0000	-11.0000	38.0000
1.2938	8.2000	102.8000	3119.3100	16.2000	15.4000	-15.0000	-11.0000	42.0000
1.3201	8.5000	104.7000	3106.2200	17.4000	16.8000	-5.0000	-5.0000	43.0000
1.3014	8.6000	95.9000	3080.5800	15.1000	14.8000	2.0000	-2.0000	44.0000
1.3119	8.5000	94.6000	2981.8500	14.5000	14.1000	-2.0000	-3.0000	32.0000
1.3408	8.3000	101.6000	2921.4400	15.1000	15.0000	-4.0000	-6.0000	32.0000
1.2991	8.2000	103.9000	2849.2700	15.5000	14.8000	-4.0000	-6.0000	37.0000
1.2490	8.7000	110.3000	2756.7600	15.9000	15.0000	-6.0000	-7.0000	38.0000
1.2218	9.3000	114.1000	2645.6400	15.9000	15.1000	-7.0000	-6.0000	39.0000
1.2176	9.3000	96.8000	2497.8400	12.3000	12.8000	0.0000	-2.0000	38.0000
1.2266	8.8000	87.4000	2448.0500	14.4000	13.0000	1.0000	-2.0000	39.0000
1.2138	7.4000	111.4000	2454.6200	16.0000	15.7000	-3.0000	-4.0000	30.0000
1.2007	7.2000	97.4000	2407.6000	13.9000	12.8000	6.0000	0.0000	28.0000
1.1985	7.5000	102.9000	2472.8100	14.7000	13.9000	-2.0000	-6.0000	31.0000
1.2262	8.3000	112.7000	2408.6400	16.2000	15.4000	2.0000	-4.0000	28.0000
1.2646	8.8000	97.0000	2440.2500	13.8000	13.2000	5.0000	-3.0000	38.0000
1.2613	8.9000	95.1000	2350.4400	13.2000	12.7000	7.0000	-1.0000	37.0000
1.2286	8.6000	96.9000	2196.7200	13.5000	13.5000	4.0000	-3.0000	34.0000
1.1702	8.4000	98.6000	2174.5600	13.5000	12.8000	0.0000	-6.0000	32.0000
1.1692	8.4000	111.7000	2120.8800	15.0000	13.9000	0.0000	-6.0000	33.0000
1.1222	8.4000	109.8000	2093.4800	14.5000	13.3000	-13.0000	-15.0000	39.0000
1.1139	8.4000	89.9000	2061.4100	10.5000	10.7000	-2.0000	-5.0000	42.0000
1.1372	8.3000	87.4000	1969.6000	13.7000	12.3000	-10.0000	-11.0000	57.0000
1.1663	7.6000	104.5000	1959.6700	13.9000	12.9000	-12.0000	-13.0000	36.0000
1.1582	7.6000	98.1000	1910.4300	13.4000	12.5000	-9.0000	-10.0000	42.0000
1.0848	7.9000	102.7000	1833.4200	14.0000	13.0000	-4.0000	-9.0000	49.0000
1.0807	8.0000	105.4000	1635.2500	14.3000	13.9000	-11.0000	-11.0000	44.0000
1.0773	8.2000	97.0000	1765.9000	13.3000	13.1000	-28.0000	-18.0000	44.0000
1.0622	8.3000	97.4000	1946.8100	13.2000	13.1000	-19.0000	-13.0000	43.0000
1.0183	8.2000	92.0000	1995.3700	12.6000	13.0000	-16.0000	-9.0000	50.0000
1.0014	8.1000	101.7000	2042.0000	13.7000	12.8000	-8.0000	-8.0000	45.0000
0.9811	8.0000	112.6000	1940.4900	15.6000	14.2000	-1.0000	-4.0000	40.0000
0.9808	7.8000	106.9000	2065.8100	14.4000	13.0000	-2.0000	-3.0000	38.0000
0.9778	7.6000	92.1000	2214.9500	11.0000	11.2000	-4.0000	-3.0000	29.0000
0.9922	7.5000	86.0000	2304.9800	13.7000	12.1000	-5.0000	-3.0000	27.0000
0.9554	6.8000	104.7000	2555.2800	13.8000	12.9000	0.0000	-1.0000	27.0000
0.9170	6.9000	102.0000	2799.4300	14.3000	13.2000	5.0000	0.0000	27.0000
0.8858	7.1000	103.1000	2811.7000	14.0000	13.2000	5.0000	1.0000	32.0000
0.8758	7.3000	106.0000	2735.7000	14.6000	13.5000	2.0000	0.0000	24.0000
0.8700	7.4000	96.1000	2745.8800	13.1000	12.4000	6.0000	2.0000	22.0000
0.8833	7.6000	96.2000	2720.2500	13.2000	12.4000	3.0000	1.0000	22.0000
0.8924	7.6000	90.7000	2638.5300	11.6000	11.6000	1.0000	-1.0000	23.0000
0.8883	7.5000	102.3000	2659.8100	13.3000	12.6000	-9.0000	-8.0000	23.0000
0.9059	7.5000	109.4000	2641.6500	14.4000	13.1000	-26.0000	-18.0000	28.0000
0.9111	6.8000	101.0000	2604.4200	13.3000	12.3000	-25.0000	-14.0000	36.0000
0.9005	6.4000	94.7000	2892.6300	11.3000	11.4000	-13.0000	-4.0000	60.0000
0.8607	6.2000	81.0000	2915.0300	13.2000	11.8000	-6.0000	0.0000	43.0000
0.8532	6.0000	106.2000	2845.2600	14.1000	13.4000	-1.0000	4.0000	23.0000
0.8742	6.3000	101.9000	2794.8300	14.0000	13.6000	1.0000	4.0000	15.0000
0.8920	6.3000	96.4000	2848.9600	12.9000	12.9000	1.0000	3.0000	7.0000
0.9095	6.1000	110.4000	2833.1800	15.2000	14.5000	-2.0000	3.0000	6.0000
0.9217	6.1000	100.5000	2995.5500	13.6000	13.3000	2.0000	7.0000	8.0000
0.9383	6.3000	98.8000	2987.1000	13.7000	13.5000	3.0000	8.0000	5.0000

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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=112417&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=112417&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112417&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ 72.249.76.132






Correlations for all pairs of data series (method=pearson)
WSKWERINPBE2UitINVCE-AESCE-CVCE-WER
WSK10.2150.1750.3250.6450.742-0.207-0.3550.089
WER0.2151-0.164-0.126-0.023-0.0410.262-0.1180.214
INP0.175-0.16410.4120.6550.572-0.140.129-0.342
BE20.325-0.1260.41210.6130.584-0.0320.474-0.703
Uit0.645-0.0230.6550.61310.955-0.192-0.004-0.327
INV0.742-0.0410.5720.5840.9551-0.272-0.113-0.237
CE-AES-0.2070.262-0.14-0.032-0.192-0.27210.604-0.157
CE-CV-0.355-0.1180.1290.474-0.004-0.1130.6041-0.723
CE-WER0.0890.214-0.342-0.703-0.327-0.237-0.157-0.7231

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & WSK & WER & INP & BE2 & Uit & INV & CE-AES & CE-CV & CE-WER \tabularnewline
WSK & 1 & 0.215 & 0.175 & 0.325 & 0.645 & 0.742 & -0.207 & -0.355 & 0.089 \tabularnewline
WER & 0.215 & 1 & -0.164 & -0.126 & -0.023 & -0.041 & 0.262 & -0.118 & 0.214 \tabularnewline
INP & 0.175 & -0.164 & 1 & 0.412 & 0.655 & 0.572 & -0.14 & 0.129 & -0.342 \tabularnewline
BE2 & 0.325 & -0.126 & 0.412 & 1 & 0.613 & 0.584 & -0.032 & 0.474 & -0.703 \tabularnewline
Uit & 0.645 & -0.023 & 0.655 & 0.613 & 1 & 0.955 & -0.192 & -0.004 & -0.327 \tabularnewline
INV & 0.742 & -0.041 & 0.572 & 0.584 & 0.955 & 1 & -0.272 & -0.113 & -0.237 \tabularnewline
CE-AES & -0.207 & 0.262 & -0.14 & -0.032 & -0.192 & -0.272 & 1 & 0.604 & -0.157 \tabularnewline
CE-CV & -0.355 & -0.118 & 0.129 & 0.474 & -0.004 & -0.113 & 0.604 & 1 & -0.723 \tabularnewline
CE-WER & 0.089 & 0.214 & -0.342 & -0.703 & -0.327 & -0.237 & -0.157 & -0.723 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112417&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]WSK[/C][C]WER[/C][C]INP[/C][C]BE2[/C][C]Uit[/C][C]INV[/C][C]CE-AES[/C][C]CE-CV[/C][C]CE-WER[/C][/ROW]
[ROW][C]WSK[/C][C]1[/C][C]0.215[/C][C]0.175[/C][C]0.325[/C][C]0.645[/C][C]0.742[/C][C]-0.207[/C][C]-0.355[/C][C]0.089[/C][/ROW]
[ROW][C]WER[/C][C]0.215[/C][C]1[/C][C]-0.164[/C][C]-0.126[/C][C]-0.023[/C][C]-0.041[/C][C]0.262[/C][C]-0.118[/C][C]0.214[/C][/ROW]
[ROW][C]INP[/C][C]0.175[/C][C]-0.164[/C][C]1[/C][C]0.412[/C][C]0.655[/C][C]0.572[/C][C]-0.14[/C][C]0.129[/C][C]-0.342[/C][/ROW]
[ROW][C]BE2[/C][C]0.325[/C][C]-0.126[/C][C]0.412[/C][C]1[/C][C]0.613[/C][C]0.584[/C][C]-0.032[/C][C]0.474[/C][C]-0.703[/C][/ROW]
[ROW][C]Uit[/C][C]0.645[/C][C]-0.023[/C][C]0.655[/C][C]0.613[/C][C]1[/C][C]0.955[/C][C]-0.192[/C][C]-0.004[/C][C]-0.327[/C][/ROW]
[ROW][C]INV[/C][C]0.742[/C][C]-0.041[/C][C]0.572[/C][C]0.584[/C][C]0.955[/C][C]1[/C][C]-0.272[/C][C]-0.113[/C][C]-0.237[/C][/ROW]
[ROW][C]CE-AES[/C][C]-0.207[/C][C]0.262[/C][C]-0.14[/C][C]-0.032[/C][C]-0.192[/C][C]-0.272[/C][C]1[/C][C]0.604[/C][C]-0.157[/C][/ROW]
[ROW][C]CE-CV[/C][C]-0.355[/C][C]-0.118[/C][C]0.129[/C][C]0.474[/C][C]-0.004[/C][C]-0.113[/C][C]0.604[/C][C]1[/C][C]-0.723[/C][/ROW]
[ROW][C]CE-WER[/C][C]0.089[/C][C]0.214[/C][C]-0.342[/C][C]-0.703[/C][C]-0.327[/C][C]-0.237[/C][C]-0.157[/C][C]-0.723[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112417&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112417&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (method=pearson)
WSKWERINPBE2UitINVCE-AESCE-CVCE-WER
WSK10.2150.1750.3250.6450.742-0.207-0.3550.089
WER0.2151-0.164-0.126-0.023-0.0410.262-0.1180.214
INP0.175-0.16410.4120.6550.572-0.140.129-0.342
BE20.325-0.1260.41210.6130.584-0.0320.474-0.703
Uit0.645-0.0230.6550.61310.955-0.192-0.004-0.327
INV0.742-0.0410.5720.5840.9551-0.272-0.113-0.237
CE-AES-0.2070.262-0.14-0.032-0.192-0.27210.604-0.157
CE-CV-0.355-0.1180.1290.474-0.004-0.1130.6041-0.723
CE-WER0.0890.214-0.342-0.703-0.327-0.237-0.157-0.7231






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
WSK;WER0.21510.05920.0366
p-value(0.0198)(0.5258)(0.5649)
WSK;INP0.17550.14020.095
p-value(0.0585)(0.1316)(0.1292)
WSK;BE20.32460.29550.1901
p-value(4e-04)(0.0012)(0.0024)
WSK;Uit0.6450.63690.452
p-value(0)(0)(0)
WSK;INV0.74210.7420.5358
p-value(0)(0)(0)
WSK;CE-AES-0.2068-0.153-0.1039
p-value(0.0253)(0.0995)(0.1017)
WSK;CE-CV-0.3546-0.3382-0.2186
p-value(1e-04)(2e-04)(6e-04)
WSK;CE-WER0.08930.0330.0192
p-value(0.3382)(0.7243)(0.7611)
WER;INP-0.1644-0.1908-0.1335
p-value(0.0765)(0.0394)(0.0362)
WER;BE2-0.1256-0.1162-0.076
p-value(0.1773)(0.2123)(0.2326)
WER;Uit-0.02340.01780.0062
p-value(0.8025)(0.8486)(0.9229)
WER;INV-0.0414-0.0057-0.0181
p-value(0.6574)(0.9511)(0.7771)
WER;CE-AES0.26150.22150.1647
p-value(0.0044)(0.0164)(0.0108)
WER;CE-CV-0.1182-0.1339-0.0798
p-value(0.2045)(0.1501)(0.2191)
WER;CE-WER0.21410.26410.1692
p-value(0.0204)(0.004)(0.0084)
INP;BE20.41190.40460.2718
p-value(0)(0)(0)
INP;Uit0.65470.6490.4861
p-value(0)(0)(0)
INP;INV0.57190.54670.3947
p-value(0)(0)(0)
INP;CE-AES-0.1403-0.1034-0.0704
p-value(0.1312)(0.2672)(0.2677)
INP;CE-CV0.12920.13280.0919
p-value(0.1651)(0.1536)(0.1506)
INP;CE-WER-0.3421-0.3577-0.248
p-value(2e-04)(1e-04)(1e-04)
BE2;Uit0.61250.60430.4141
p-value(0)(0)(0)
BE2;INV0.58380.56660.3826
p-value(0)(0)(0)
BE2;CE-AES-0.0324-0.0464-0.0299
p-value(0.7287)(0.6196)(0.6372)
BE2;CE-CV0.47450.480.3442
p-value(0)(0)(0)
BE2;CE-WER-0.7032-0.7028-0.5194
p-value(0)(0)(0)
Uit;INV0.95490.94790.8164
p-value(0)(0)(0)
Uit;CE-AES-0.1916-0.1428-0.1054
p-value(0.0385)(0.1246)(0.0987)
Uit;CE-CV-0.0044-0.0147-0.0015
p-value(0.9621)(0.8746)(0.9812)
Uit;CE-WER-0.3275-0.3528-0.2393
p-value(3e-04)(1e-04)(2e-04)
INV;CE-AES-0.2725-0.1911-0.1384
p-value(0.003)(0.039)(0.03)
INV;CE-CV-0.1131-0.1041-0.0692
p-value(0.2245)(0.2641)(0.2807)
INV;CE-WER-0.2374-0.2832-0.1845
p-value(0.01)(0.002)(0.0036)
CE-AES;CE-CV0.60380.59110.448
p-value(0)(0)(0)
CE-AES;CE-WER-0.1572-0.1447-0.0972
p-value(0.0905)(0.1196)(0.1287)
CE-CV;CE-WER-0.723-0.6648-0.5007
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
WSK;WER & 0.2151 & 0.0592 & 0.0366 \tabularnewline
p-value & (0.0198) & (0.5258) & (0.5649) \tabularnewline
WSK;INP & 0.1755 & 0.1402 & 0.095 \tabularnewline
p-value & (0.0585) & (0.1316) & (0.1292) \tabularnewline
WSK;BE2 & 0.3246 & 0.2955 & 0.1901 \tabularnewline
p-value & (4e-04) & (0.0012) & (0.0024) \tabularnewline
WSK;Uit & 0.645 & 0.6369 & 0.452 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
WSK;INV & 0.7421 & 0.742 & 0.5358 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
WSK;CE-AES & -0.2068 & -0.153 & -0.1039 \tabularnewline
p-value & (0.0253) & (0.0995) & (0.1017) \tabularnewline
WSK;CE-CV & -0.3546 & -0.3382 & -0.2186 \tabularnewline
p-value & (1e-04) & (2e-04) & (6e-04) \tabularnewline
WSK;CE-WER & 0.0893 & 0.033 & 0.0192 \tabularnewline
p-value & (0.3382) & (0.7243) & (0.7611) \tabularnewline
WER;INP & -0.1644 & -0.1908 & -0.1335 \tabularnewline
p-value & (0.0765) & (0.0394) & (0.0362) \tabularnewline
WER;BE2 & -0.1256 & -0.1162 & -0.076 \tabularnewline
p-value & (0.1773) & (0.2123) & (0.2326) \tabularnewline
WER;Uit & -0.0234 & 0.0178 & 0.0062 \tabularnewline
p-value & (0.8025) & (0.8486) & (0.9229) \tabularnewline
WER;INV & -0.0414 & -0.0057 & -0.0181 \tabularnewline
p-value & (0.6574) & (0.9511) & (0.7771) \tabularnewline
WER;CE-AES & 0.2615 & 0.2215 & 0.1647 \tabularnewline
p-value & (0.0044) & (0.0164) & (0.0108) \tabularnewline
WER;CE-CV & -0.1182 & -0.1339 & -0.0798 \tabularnewline
p-value & (0.2045) & (0.1501) & (0.2191) \tabularnewline
WER;CE-WER & 0.2141 & 0.2641 & 0.1692 \tabularnewline
p-value & (0.0204) & (0.004) & (0.0084) \tabularnewline
INP;BE2 & 0.4119 & 0.4046 & 0.2718 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
INP;Uit & 0.6547 & 0.649 & 0.4861 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
INP;INV & 0.5719 & 0.5467 & 0.3947 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
INP;CE-AES & -0.1403 & -0.1034 & -0.0704 \tabularnewline
p-value & (0.1312) & (0.2672) & (0.2677) \tabularnewline
INP;CE-CV & 0.1292 & 0.1328 & 0.0919 \tabularnewline
p-value & (0.1651) & (0.1536) & (0.1506) \tabularnewline
INP;CE-WER & -0.3421 & -0.3577 & -0.248 \tabularnewline
p-value & (2e-04) & (1e-04) & (1e-04) \tabularnewline
BE2;Uit & 0.6125 & 0.6043 & 0.4141 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BE2;INV & 0.5838 & 0.5666 & 0.3826 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BE2;CE-AES & -0.0324 & -0.0464 & -0.0299 \tabularnewline
p-value & (0.7287) & (0.6196) & (0.6372) \tabularnewline
BE2;CE-CV & 0.4745 & 0.48 & 0.3442 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BE2;CE-WER & -0.7032 & -0.7028 & -0.5194 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Uit;INV & 0.9549 & 0.9479 & 0.8164 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Uit;CE-AES & -0.1916 & -0.1428 & -0.1054 \tabularnewline
p-value & (0.0385) & (0.1246) & (0.0987) \tabularnewline
Uit;CE-CV & -0.0044 & -0.0147 & -0.0015 \tabularnewline
p-value & (0.9621) & (0.8746) & (0.9812) \tabularnewline
Uit;CE-WER & -0.3275 & -0.3528 & -0.2393 \tabularnewline
p-value & (3e-04) & (1e-04) & (2e-04) \tabularnewline
INV;CE-AES & -0.2725 & -0.1911 & -0.1384 \tabularnewline
p-value & (0.003) & (0.039) & (0.03) \tabularnewline
INV;CE-CV & -0.1131 & -0.1041 & -0.0692 \tabularnewline
p-value & (0.2245) & (0.2641) & (0.2807) \tabularnewline
INV;CE-WER & -0.2374 & -0.2832 & -0.1845 \tabularnewline
p-value & (0.01) & (0.002) & (0.0036) \tabularnewline
CE-AES;CE-CV & 0.6038 & 0.5911 & 0.448 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CE-AES;CE-WER & -0.1572 & -0.1447 & -0.0972 \tabularnewline
p-value & (0.0905) & (0.1196) & (0.1287) \tabularnewline
CE-CV;CE-WER & -0.723 & -0.6648 & -0.5007 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112417&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]WSK;WER[/C][C]0.2151[/C][C]0.0592[/C][C]0.0366[/C][/ROW]
[ROW][C]p-value[/C][C](0.0198)[/C][C](0.5258)[/C][C](0.5649)[/C][/ROW]
[ROW][C]WSK;INP[/C][C]0.1755[/C][C]0.1402[/C][C]0.095[/C][/ROW]
[ROW][C]p-value[/C][C](0.0585)[/C][C](0.1316)[/C][C](0.1292)[/C][/ROW]
[ROW][C]WSK;BE2[/C][C]0.3246[/C][C]0.2955[/C][C]0.1901[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](0.0012)[/C][C](0.0024)[/C][/ROW]
[ROW][C]WSK;Uit[/C][C]0.645[/C][C]0.6369[/C][C]0.452[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]WSK;INV[/C][C]0.7421[/C][C]0.742[/C][C]0.5358[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]WSK;CE-AES[/C][C]-0.2068[/C][C]-0.153[/C][C]-0.1039[/C][/ROW]
[ROW][C]p-value[/C][C](0.0253)[/C][C](0.0995)[/C][C](0.1017)[/C][/ROW]
[ROW][C]WSK;CE-CV[/C][C]-0.3546[/C][C]-0.3382[/C][C]-0.2186[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](2e-04)[/C][C](6e-04)[/C][/ROW]
[ROW][C]WSK;CE-WER[/C][C]0.0893[/C][C]0.033[/C][C]0.0192[/C][/ROW]
[ROW][C]p-value[/C][C](0.3382)[/C][C](0.7243)[/C][C](0.7611)[/C][/ROW]
[ROW][C]WER;INP[/C][C]-0.1644[/C][C]-0.1908[/C][C]-0.1335[/C][/ROW]
[ROW][C]p-value[/C][C](0.0765)[/C][C](0.0394)[/C][C](0.0362)[/C][/ROW]
[ROW][C]WER;BE2[/C][C]-0.1256[/C][C]-0.1162[/C][C]-0.076[/C][/ROW]
[ROW][C]p-value[/C][C](0.1773)[/C][C](0.2123)[/C][C](0.2326)[/C][/ROW]
[ROW][C]WER;Uit[/C][C]-0.0234[/C][C]0.0178[/C][C]0.0062[/C][/ROW]
[ROW][C]p-value[/C][C](0.8025)[/C][C](0.8486)[/C][C](0.9229)[/C][/ROW]
[ROW][C]WER;INV[/C][C]-0.0414[/C][C]-0.0057[/C][C]-0.0181[/C][/ROW]
[ROW][C]p-value[/C][C](0.6574)[/C][C](0.9511)[/C][C](0.7771)[/C][/ROW]
[ROW][C]WER;CE-AES[/C][C]0.2615[/C][C]0.2215[/C][C]0.1647[/C][/ROW]
[ROW][C]p-value[/C][C](0.0044)[/C][C](0.0164)[/C][C](0.0108)[/C][/ROW]
[ROW][C]WER;CE-CV[/C][C]-0.1182[/C][C]-0.1339[/C][C]-0.0798[/C][/ROW]
[ROW][C]p-value[/C][C](0.2045)[/C][C](0.1501)[/C][C](0.2191)[/C][/ROW]
[ROW][C]WER;CE-WER[/C][C]0.2141[/C][C]0.2641[/C][C]0.1692[/C][/ROW]
[ROW][C]p-value[/C][C](0.0204)[/C][C](0.004)[/C][C](0.0084)[/C][/ROW]
[ROW][C]INP;BE2[/C][C]0.4119[/C][C]0.4046[/C][C]0.2718[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]INP;Uit[/C][C]0.6547[/C][C]0.649[/C][C]0.4861[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]INP;INV[/C][C]0.5719[/C][C]0.5467[/C][C]0.3947[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]INP;CE-AES[/C][C]-0.1403[/C][C]-0.1034[/C][C]-0.0704[/C][/ROW]
[ROW][C]p-value[/C][C](0.1312)[/C][C](0.2672)[/C][C](0.2677)[/C][/ROW]
[ROW][C]INP;CE-CV[/C][C]0.1292[/C][C]0.1328[/C][C]0.0919[/C][/ROW]
[ROW][C]p-value[/C][C](0.1651)[/C][C](0.1536)[/C][C](0.1506)[/C][/ROW]
[ROW][C]INP;CE-WER[/C][C]-0.3421[/C][C]-0.3577[/C][C]-0.248[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]BE2;Uit[/C][C]0.6125[/C][C]0.6043[/C][C]0.4141[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BE2;INV[/C][C]0.5838[/C][C]0.5666[/C][C]0.3826[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BE2;CE-AES[/C][C]-0.0324[/C][C]-0.0464[/C][C]-0.0299[/C][/ROW]
[ROW][C]p-value[/C][C](0.7287)[/C][C](0.6196)[/C][C](0.6372)[/C][/ROW]
[ROW][C]BE2;CE-CV[/C][C]0.4745[/C][C]0.48[/C][C]0.3442[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BE2;CE-WER[/C][C]-0.7032[/C][C]-0.7028[/C][C]-0.5194[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Uit;INV[/C][C]0.9549[/C][C]0.9479[/C][C]0.8164[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Uit;CE-AES[/C][C]-0.1916[/C][C]-0.1428[/C][C]-0.1054[/C][/ROW]
[ROW][C]p-value[/C][C](0.0385)[/C][C](0.1246)[/C][C](0.0987)[/C][/ROW]
[ROW][C]Uit;CE-CV[/C][C]-0.0044[/C][C]-0.0147[/C][C]-0.0015[/C][/ROW]
[ROW][C]p-value[/C][C](0.9621)[/C][C](0.8746)[/C][C](0.9812)[/C][/ROW]
[ROW][C]Uit;CE-WER[/C][C]-0.3275[/C][C]-0.3528[/C][C]-0.2393[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]INV;CE-AES[/C][C]-0.2725[/C][C]-0.1911[/C][C]-0.1384[/C][/ROW]
[ROW][C]p-value[/C][C](0.003)[/C][C](0.039)[/C][C](0.03)[/C][/ROW]
[ROW][C]INV;CE-CV[/C][C]-0.1131[/C][C]-0.1041[/C][C]-0.0692[/C][/ROW]
[ROW][C]p-value[/C][C](0.2245)[/C][C](0.2641)[/C][C](0.2807)[/C][/ROW]
[ROW][C]INV;CE-WER[/C][C]-0.2374[/C][C]-0.2832[/C][C]-0.1845[/C][/ROW]
[ROW][C]p-value[/C][C](0.01)[/C][C](0.002)[/C][C](0.0036)[/C][/ROW]
[ROW][C]CE-AES;CE-CV[/C][C]0.6038[/C][C]0.5911[/C][C]0.448[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CE-AES;CE-WER[/C][C]-0.1572[/C][C]-0.1447[/C][C]-0.0972[/C][/ROW]
[ROW][C]p-value[/C][C](0.0905)[/C][C](0.1196)[/C][C](0.1287)[/C][/ROW]
[ROW][C]CE-CV;CE-WER[/C][C]-0.723[/C][C]-0.6648[/C][C]-0.5007[/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=112417&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112417&T=2

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The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
WSK;WER0.21510.05920.0366
p-value(0.0198)(0.5258)(0.5649)
WSK;INP0.17550.14020.095
p-value(0.0585)(0.1316)(0.1292)
WSK;BE20.32460.29550.1901
p-value(4e-04)(0.0012)(0.0024)
WSK;Uit0.6450.63690.452
p-value(0)(0)(0)
WSK;INV0.74210.7420.5358
p-value(0)(0)(0)
WSK;CE-AES-0.2068-0.153-0.1039
p-value(0.0253)(0.0995)(0.1017)
WSK;CE-CV-0.3546-0.3382-0.2186
p-value(1e-04)(2e-04)(6e-04)
WSK;CE-WER0.08930.0330.0192
p-value(0.3382)(0.7243)(0.7611)
WER;INP-0.1644-0.1908-0.1335
p-value(0.0765)(0.0394)(0.0362)
WER;BE2-0.1256-0.1162-0.076
p-value(0.1773)(0.2123)(0.2326)
WER;Uit-0.02340.01780.0062
p-value(0.8025)(0.8486)(0.9229)
WER;INV-0.0414-0.0057-0.0181
p-value(0.6574)(0.9511)(0.7771)
WER;CE-AES0.26150.22150.1647
p-value(0.0044)(0.0164)(0.0108)
WER;CE-CV-0.1182-0.1339-0.0798
p-value(0.2045)(0.1501)(0.2191)
WER;CE-WER0.21410.26410.1692
p-value(0.0204)(0.004)(0.0084)
INP;BE20.41190.40460.2718
p-value(0)(0)(0)
INP;Uit0.65470.6490.4861
p-value(0)(0)(0)
INP;INV0.57190.54670.3947
p-value(0)(0)(0)
INP;CE-AES-0.1403-0.1034-0.0704
p-value(0.1312)(0.2672)(0.2677)
INP;CE-CV0.12920.13280.0919
p-value(0.1651)(0.1536)(0.1506)
INP;CE-WER-0.3421-0.3577-0.248
p-value(2e-04)(1e-04)(1e-04)
BE2;Uit0.61250.60430.4141
p-value(0)(0)(0)
BE2;INV0.58380.56660.3826
p-value(0)(0)(0)
BE2;CE-AES-0.0324-0.0464-0.0299
p-value(0.7287)(0.6196)(0.6372)
BE2;CE-CV0.47450.480.3442
p-value(0)(0)(0)
BE2;CE-WER-0.7032-0.7028-0.5194
p-value(0)(0)(0)
Uit;INV0.95490.94790.8164
p-value(0)(0)(0)
Uit;CE-AES-0.1916-0.1428-0.1054
p-value(0.0385)(0.1246)(0.0987)
Uit;CE-CV-0.0044-0.0147-0.0015
p-value(0.9621)(0.8746)(0.9812)
Uit;CE-WER-0.3275-0.3528-0.2393
p-value(3e-04)(1e-04)(2e-04)
INV;CE-AES-0.2725-0.1911-0.1384
p-value(0.003)(0.039)(0.03)
INV;CE-CV-0.1131-0.1041-0.0692
p-value(0.2245)(0.2641)(0.2807)
INV;CE-WER-0.2374-0.2832-0.1845
p-value(0.01)(0.002)(0.0036)
CE-AES;CE-CV0.60380.59110.448
p-value(0)(0)(0)
CE-AES;CE-WER-0.1572-0.1447-0.0972
p-value(0.0905)(0.1196)(0.1287)
CE-CV;CE-WER-0.723-0.6648-0.5007
p-value(0)(0)(0)


Figures (Output of Computation)

Input Parameters & R Code

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')