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*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Tue, 21 Dec 2010 19:31:27 +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/21/t1292959779soksy3ug8odr8wj.htm/, Retrieved Sun, 19 May 2024 18:47:08 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113880, Retrieved Sun, 19 May 2024 18:47:08 +0000

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Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Kendall tau Correlation Matrix] [] [2010-12-21 19:31:27] [4dba6678eac10ee5c3460d144a14bd5c] [Current]

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17.98	586.9642	830.36	1609.84	404.45	2342.32
17.83	582.1727	750	1477.27	387.97	2258.39
19.45	586.19396	830.36	1653.84	390.27	2293.62
21.04	590.49531	803.57	1512.02	384.72	2418.80
20.03	589.70506	830.36	1352.37	371.35	2480.15
20.01	590.07518	803.57	1436.84	367.73	2440.06
19.64	595.2568	830.36	1503.27	375.21	2660.66
18.52	604.1796	830.36	1649.09	365.55	2737.27
19.59	605.00987	803.57	1545.82	361.80	2692.82
20.09	610.71165	830.36	1622.21	366.80	2645.08
19.82	618.31404	803.57	1650.19	394.36	2706.27
21.09	614.74292	830.36	1696.73	409.66	2753.20
22.64	609.16284	544.75	1502.97	410.12	2590.54
22.11	611.73756	492.03	1469.44	416.54	2627.25
20.42	620.77222	544.75	1565.22	393.66	2707.21
18.58	618.00755	527.18	1485.36	374.93	2656.76
18.24	612.3328	544.75	1268.54	368.85	2876.66
16.87	604.04309	527.18	994.85	352.66	2880.69
18.64	605.08732	544.75	1352.65	361.82	2905.20
27.17	569.6086	544.75	1574.06	394.86	2614.36
33.69	595.0899	527.18	1531.7	389.56	2452.48
35.92	598.49214	544.75	1473.81	381.33	2442.33
32.30	606.67306	527.18	1367.53	381.87	2559.65
27.34	608.78857	544.75	1584.21	378.16	2633.66
24.96	606.9776	572.15	1733.32	384.59	2736.39
20.52	603.86769	516.78	1217.95	363.75	2882.18
19.86	606.42144	572.15	1234.38	363.39	2913.86
20.82	592.42386	553.7	1034.78	358.05	2887.87
21.24	590.6524	572.15	1154.2	357.12	3027.50
20.20	592.57978	553.7	1208.67	366.36	2906.75
21.42	602.51677	572.15	1207.28	368.01	3024.82
21.69	595.5471	572.15	1552.86	356.72	3043.60
21.86	605.94461	553.7	1727.05	348.46	3016.77
23.23	605.4981	572.15	1564.18	358.83	3069.10
22.47	607.95824	553.7	1488.7	359.96	2894.68
19.52	612.04311	572.15	1714.22	361.88	3168.83
18.82	612.7243	598.11	1735.74	354.44	3223.39
19.00	604.3511	559.52	1340.51	353.85	3267.67
18.92	597.85685	598.11	1237.53	344.64	3235.47
20.24	601.4573	578.81	1178.62	338.73	3359.12
20.94	590.17392	598.11	946.28	337.04	3396.88
22.38	592.59948	578.81	1333.87	340.78	3318.52
21.76	597.24933	598.11	1474.77	352.45	3393.78
21.35	597.11685	598.11	1650.77	343.60	3257.35
21.90	599.7328	578.81	1509.81	345.30	3271.66
21.69	607.71194	598.11	1670.26	344.28	3226.28
20.34	604.82143	578.81	1691.55	334.92	3305.16
19.41	608.02913	598.11	1602.71	334.66	3301.11
19.08	606.1822	525.29	1702.93	328.99	3310.03
20.05	609.73516	474.46	1513.12	329.31	3370.81
20.35	602.5858	525.29	1608.6	329.97	3435.11
20.27	595.55291	508.35	1375.56	341.95	3427.55
19.94	597.41659	525.29	1062.49	367.04	3527.43
19.07	594.57492	508.35	1084.64	371.91	3516.08
17.87	600.63662	525.29	1212.23	392.03	3539.47
18.01	598.85984	525.29	1691.14	379.80	3651.25
17.51	598.97301	508.35	1553.52	355.56	3555.12
18.15	603.61033	525.29	1597.22	364.00	3680.59
16.70	604.24871	508.35	1666.38	373.94	3683.95
14.51	608.12389	525.29	1659.2	383.24	3754.09
15.00	610.69475	500.86	2124.88	387.11	3978.36
14.78	608.90087	452.39	1612.62	381.66	3832.02
14.66	607.98959	500.86	1685.45	384.00	3635.96
16.38	603.37721	484.71	1509.59	377.91	3681.69
17.88	607.81136	500.86	1145.09	381.34	3758.37
19.07	610.96411	484.71	1283.41	385.71	3624.96
19.65	606.97026	500.86	1802.44	385.45	3764.50
18.38	605.89335	500.86	1592.68	380.21	3913.42
17.46	611.97502	484.71	1490.27	391.35	3843.19
17.71	616.95077	500.86	1737.23	390.16	3908.12
18.10	618.69499	484.71	1660.53	384.38	3739.23
17.16	621.90975	500.86	1629.52	379.48	3834.44
17.99	617.85264	502.23	1516.25	378.74	3843.86
18.53	623.04912	453.63	1262.19	376.75	4011.05
18.55	615.57	502.23	1520.71	381.82	4157.69
19.87	623.58574	486.03	1712.45	391.34	4321.27
19.74	623.63317	502.23	1444.67	385.23	4465.14
18.42	615.04568	486.03	1377.22	387.62	4556.10
17.30	624.57004	502.23	1984.51	386.14	4708.47
18.03	625.8824	502.23	2034.11	383.50	4610.56
18.23	629.83163	486.03	1746.18	382.93	4789.08
17.44	626.42181	502.23	1923.87	383.20	4755.48
17.99	628.40528	486.03	1717.86	385.21	5074.49
19.04	632.30782	502.23	1679.66	387.44	5117.12
18.88	631.60361	518.74	1814.81	398.70	5395.30
19.07	635.57585	485.27	1411.08	404.92	5485.62
21.36	634.08687	518.74	1649.91	396.51	5587.14
23.57	632.61106	502	1220.32	392.87	5569.08
21.25	632.6136	518.74	1445.62	391.99	5643.18
20.45	635.80934	502	1631.53	385.25	5654.63
21.32	636.67236	518.74	1836.95	383.46	5528.91
21.96	633.388	518.74	2014.7	387.51	5616.21
23.99	638.09523	502	1660.62	383.29	5882.17
24.90	641.6666	518.74	2039.59	380.91	6029.38
23.71	646.15675	502	1947.42	377.87	6521.70
25.39	651.88736	518.74	1654.5	369.34	6448.27
25.17	651.22665	426.79	1904.27	355.03	6813.09
22.21	654.79548	385.49	1475.2	346.40	6877.74
20.99	654.65449	426.79	1661.09	352.31	6583.48
19.72	659.91121	413.03	1648.04	344.71	7008.99
20.83	653.37456	426.79	1761.21	344.10	7331.04
19.17	645.67016	413.03	1491.73	340.80	7672.79
19.63	650.11779	426.79	1704.51	323.78	8222.61
19.93	658.91968	426.79	1754.12	324.00	7622.42
19.79	662.42603	413.03	1663.4	322.62	7945.26
21.26	667.60539	426.79	2092.92	324.86	7442.08
20.17	666.14582	413.03	1760.79	306.35	7823.13
18.32	664.27573	426.79	1654.32	288.78	7908.25
16.71	676.48872	384.2	1937.54	289.26	7906.50
16.06	680.1659	347.02	1397.88	297.74	8545.72
15.02	678.99055	384.2	1583.78	295.87	8799.81
15.44	677.61221	371.81	1579.95	308.56	9063.37
14.86	672.24744	384.2	1650.45	298.97	8899.95
13.66	669.48689	371.81	1133.21	292.22	8952.02
14.08	668.19145	384.2	1625.27	292.87	8883.29
13.36	658.29031	384.2	1686.83	284.23	7539.07
14.95	659.15736	371.81	1641.04	288.66	7842.62
14.39	660.34479	384.2	1776.56	296.60	8592.10
12.85	668.77636	371.81	1502.57	294.24	9116.55
11.28	667.01524	384.2	1777.23	291.36	9181.43
12.47	669.37186	392.58	1854.73	287.31	9358.83
12.01	672.58801	354.59	1420.68	287.50	9306.58
14.66	669.36903	392.58	1306.17	286.24	9786.16
17.34	654.958	379.92	1615.22	282.62	10789.04
17.75	653.03433	392.58	1952.35	276.93	10559.74
17.89	642.61224	379.92	1513.77	261.40	10970.80
20.07	657.74554	392.58	1773.85	256.20	10655.15
21.26	656.64312	392.58	1722.86	256.94	10829.28
23.88	657.08444	379.92	1583.14	264.47	10336.95
22.64	662.14989	392.58	1424.79	311.56	10729.86
24.97	661.94064	379.92	1676.9	293.65	10877.81
26.08	653.83966	392.58	1498.38	283.74	11497.12
27.18	664.17629	414.99	1355.03	284.59	10940.53
29.35	670.41666	388.22	1584.14	300.85	10128.31
29.89	670.73615	414.99	1678.71	286.70	10921.92
25.74	677.35214	401.6	1613.18	279.96	10733.91
28.78	682.47259	414.99	1578.63	275.29	10522.33
31.83	680.40158	401.6	1419.16	285.37	10447.89
29.77	686.65088	414.99	1633.3	282.15	10521.98
31.22	694.91907	414.99	1649.25	274.52	11215.10
33.88	695.01497	401.6	1528.83	273.68	10650.92
33.08	699.45908	414.99	1759.59	270.40	10971.14
34.40	705.01325	401.6	1716.6	265.99	10414.49
28.46	692.39885	414.99	1764.26	271.89	10787.99
29.58	691.58396	373.1	1510.48	265.93	10887.36
29.61	686.89767	336.99	1339.31	262.02	10495.28
27.24	693.52192	373.1	1445	263.27	9878.78
27.41	684.19211	361.06	1414.76	260.75	10734.97
28.64	677.3194	373.1	1366.59	272.06	10911.94
27.60	661.73269	361.06	1381.92	270.74	10502.40
26.45	681.12618	373.1	1432.29	267.71	10522.81
27.47	682.86649	373.1	1478.19	272.66	9949.75
25.88	678.14703	361.06	1394.56	282.48	8847.56
22.21	677.16558	373.1	1505.45	283.32	9075.14
19.67	680.69632	361.06	1446.22	276.25	9851.56
19.33	676.53337	373.1	1472.11	275.99	10021.57
19.67	668.03667	381.3	1457.88	281.76	9920.00
20.74	668.97155	344.4	1275.17	295.68	10106.13
24.42	666.98498	381.3	1349.08	294.35	10403.94
26.27	661.76808	369	1354.25	302.86	9946.22
27.02	667.50585	381.3	1441.49	314.48	9925.25
25.52	666.06849	369	1349.13	321.54	9243.26
26.94	670.68352	381.3	1508.98	313.57	8736.59
28.38	667.93756	381.3	1383.7	310.05	8663.50
29.67	673.30419	369	1463.2	318.71	7591.93
28.85	687.39311	381.3	1586.98	316.75	8397.03
26.27	688.37189	369	1474.1	319.25	8896.09
29.42	671.79872	381.3	1552.81	333.30	8341.63
32.94	677.22114	400.16	1446.58	356.86	8053.81
35.87	693.12414	361.43	1314.74	359.58	7891.08
33.55	698.4465	400.16	1430.98	341.56	7992.13
28.25	687.64631	387.25	1406.64	328.21	8480.09
28.14	687.61812	400.16	1420.11	355.41	8850.26
30.72	679.51819	387.25	1399.8	356.91	8985.44
30.76	685.70631	400.16	1495.12	350.75	9233.80
31.59	690.25711	400.16	1466.13	358.99	9415.82
28.29	696.94325	387.25	1413.35	378.86	9275.06
30.33	705.98803	400.16	1460.87	379.09	9801.12
31.09	708.31175	387.25	1438.22	390.20	9782.46
32.15	720.88209	400.16	1562.51	407.67	10453.92
34.27	717.75784	408.87	1605	414.50	10488.07
34.74	717.55138	382.5	1468.66	404.73	10583.92
36.76	716.99835	408.87	1525.6	405.98	10357.70
36.69	716.65894	395.69	1549.46	404.85	10225.57
40.28	713.41968	408.87	1482.39	383.95	10188.45
38.02	729.40358	395.69	1503.44	391.78	10435.48
40.69	733.9712	408.87	1577.22	398.44	10139.71
44.94	723.67358	408.87	1557.89	400.13	10173.92
45.95	729.87932	395.69	1495.91	405.40	10080.27
53.13	736.03188	408.87	1578.21	420.21	10027.47
48.46	732.64932	395.69	1529.81	439.06	10428.02
43.33	728.98133	408.87	1655.61	442.97	10783.01
46.84	731.63834	430.2	1627.23	424.08	10489.94
47.97	734.6898	388.57	1539.44	423.43	10766.23
54.31	737.88677	430.2	1571.91	434.35	10503.76
53.04	740.78089	416.32	1512.01	429.14	10192.51
49.83	741.90176	430.2	1543.38	422.90	10467.48
56.26	738.40627	416.32	1517.73	430.30	10274.97
58.70	736.92209	430.2	1594.17	424.75	10640.91
64.97	737.36337	430.2	1588.63	437.77	10481.60
65.57	732.89592	416.32	1530.09	455.94	10568.70
62.37	733.55081	430.2	1574.33	470.11	10440.07
58.30	738.51387	416.32	1527.53	476.67	10805.87
59.43	741.46149	430.2	1605.32	509.42	10717.50
65.51	736.41252	403.84	1712.4	549.43	10864.86
61.63	735.99137	364.76	1499.51	555.52	10993.41
62.90	734.26023	403.84	1585.3	557.22	11109.32
69.69	734.85552	390.81	1524.73	611.85	11367.14
70.94	730.46576	403.84	1563.37	676.77	11168.31
70.96	729.38976	390.81	1555.93	597.90	11150.22
74.41	739.7233	403.84	1648.48	633.09	11185.68
73.05	736.24305	403.84	1639	631.56	11381.15
63.87	733.40158	390.81	1596.12	600.15	11679.07
58.88	736.50854	403.84	1655.14	586.65	12080.73
59.37	733.27274	390.81	1625.19	626.83	12221.93
62.03	731.06448	403.84	1692.72	629.51	12463.15
54.57	727.84077	447.5	1668.59	630.35	12621.69
59.26	730.40812	404.19	1520.68	665.10	12268.63
60.56	729.59849	447.5	1643.49	655.89	12354.35
63.97	731.9837	433.07	1611.85	680.01	13062.91
63.46	727.2243	447.5	1627.28	668.31	13627.64
67.48	723.33322	433.07	1585.24	655.71	13408.62
74.18	728.46526	447.5	1659.34	665.27	13211.99
72.39	721.99641	447.5	1636.16	664.53	13357.74
79.93	729.75831	433.07	1592.16	710.65	13895.63
86.20	736.52441	447.5	1673.23	754.48	13930.01
94.62	733.60152	433.07	1665.26	808.31	13371.72
91.73	737.86398	447.5	1760.76	803.62	13264.82
92.95	738.99614	478.16	1875.02	887.78	12650.36
95.35	740.62804	447.31	1649.36	924.28	12266.39
105.56	742.35983	478.16	1722.74	971.06	12262.89
112.57	736.59008	462.74	1705.32	912.02	12820.13
125.39	739.67615	478.16	1741.22	889.13	12638.32
133.93	739.77171	462.74	1651.61	889.54	11350.01
133.44	746.85967	478.16	1721.75	941.17	11378.02
116.61	734.762	478.16	1722.93	840.39	11543.55
103.90	725.37503	462.74	1646.61	824.92	10850.66
76.65	735.5332	478.16	1734.27	812.82	9325.01
57.44	733.90288	462.74	1704.02	757.85	8829.04
41.02	725.90513	478.16	1652.21	819.94	8776.39
41.74	715.5104	478.5	1634.11	857.73	8000.86
39.16	720.74408	432.2	1503.58	939.76	7062.93
47.98	718.75698	478.5	1629.93	925.99	7608.92
49.79	719.95689	463.07	1568.78	892.66	8168.12
59.16	716.1199	478.5	1631.97	926.86	8500.33
69.68	718.00358	463.07	1621.95	947.81	8447.00
64.09	727.08914	478.5	1771.27	934.27	9171.61
71.06	722.45696	478.5	1813.63	949.50	9496.28
69.46	726.53179	463.07	1705.55	996.44	9712.28
75.82	731.11631	478.5	1796.49	1043.51	9712.73
78.08	731.65889	463.07	1783.88	1126.12	10344.84
74.30	728.91337	478.5	1832.1	1135.01	10428.05

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	'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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113880&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113880&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113880&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	'George Udny Yule' @ 72.249.76.132

Correlations for all pairs of data series (method=kendall)
	PRICE	PRODUCTION	RENEW_RISID	RENEW_IND	GOLD	DOWJONES
PRICE	1	0.569	-0.096	0.093	0.379	0.44
PRODUCTION	0.569	1	-0.394	0.154	0.217	0.69
RENEW_RISID	-0.096	-0.394	1	0.111	0.188	-0.479
RENEW_IND	0.093	0.154	0.111	1	0.184	0.127
GOLD	0.379	0.217	0.188	0.184	1	0.071
DOWJONES	0.44	0.69	-0.479	0.127	0.071	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & PRICE & PRODUCTION & RENEW_RISID & RENEW_IND & GOLD & DOWJONES \tabularnewline
PRICE & 1 & 0.569 & -0.096 & 0.093 & 0.379 & 0.44 \tabularnewline
PRODUCTION & 0.569 & 1 & -0.394 & 0.154 & 0.217 & 0.69 \tabularnewline
RENEW_RISID & -0.096 & -0.394 & 1 & 0.111 & 0.188 & -0.479 \tabularnewline
RENEW_IND & 0.093 & 0.154 & 0.111 & 1 & 0.184 & 0.127 \tabularnewline
GOLD & 0.379 & 0.217 & 0.188 & 0.184 & 1 & 0.071 \tabularnewline
DOWJONES & 0.44 & 0.69 & -0.479 & 0.127 & 0.071 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113880&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]PRICE[/C][C]PRODUCTION[/C][C]RENEW_RISID[/C][C]RENEW_IND[/C][C]GOLD[/C][C]DOWJONES[/C][/ROW]
[ROW][C]PRICE[/C][C]1[/C][C]0.569[/C][C]-0.096[/C][C]0.093[/C][C]0.379[/C][C]0.44[/C][/ROW]
[ROW][C]PRODUCTION[/C][C]0.569[/C][C]1[/C][C]-0.394[/C][C]0.154[/C][C]0.217[/C][C]0.69[/C][/ROW]
[ROW][C]RENEW_RISID[/C][C]-0.096[/C][C]-0.394[/C][C]1[/C][C]0.111[/C][C]0.188[/C][C]-0.479[/C][/ROW]
[ROW][C]RENEW_IND[/C][C]0.093[/C][C]0.154[/C][C]0.111[/C][C]1[/C][C]0.184[/C][C]0.127[/C][/ROW]
[ROW][C]GOLD[/C][C]0.379[/C][C]0.217[/C][C]0.188[/C][C]0.184[/C][C]1[/C][C]0.071[/C][/ROW]
[ROW][C]DOWJONES[/C][C]0.44[/C][C]0.69[/C][C]-0.479[/C][C]0.127[/C][C]0.071[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113880&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113880&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=kendall)
	PRICE	PRODUCTION	RENEW_RISID	RENEW_IND	GOLD	DOWJONES
PRICE	1	0.569	-0.096	0.093	0.379	0.44
PRODUCTION	0.569	1	-0.394	0.154	0.217	0.69
RENEW_RISID	-0.096	-0.394	1	0.111	0.188	-0.479
RENEW_IND	0.093	0.154	0.111	1	0.184	0.127
GOLD	0.379	0.217	0.188	0.184	1	0.071
DOWJONES	0.44	0.69	-0.479	0.127	0.071	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
PRICE;PRODUCTION	0.7478	0.76	0.5688
p-value	(0)	(0)	(0)
PRICE;RENEW_RISID	-0.1846	-0.2086	-0.0957
p-value	(0.0033)	(9e-04)	(0.0249)
PRICE;RENEW_IND	0.22	0.0981	0.0929
p-value	(4e-04)	(0.1205)	(0.0281)
PRICE;GOLD	0.8242	0.554	0.3787
p-value	(0)	(0)	(0)
PRICE;DOWJONES	0.6205	0.6435	0.4396
p-value	(0)	(0)	(0)
PRODUCTION;RENEW_RISID	-0.6115	-0.6045	-0.394
p-value	(0)	(0)	(0)
PRODUCTION;RENEW_IND	0.2277	0.2133	0.1537
p-value	(3e-04)	(7e-04)	(3e-04)
PRODUCTION;GOLD	0.5498	0.3996	0.217
p-value	(0)	(0)	(0)
PRODUCTION;DOWJONES	0.9083	0.872	0.6897
p-value	(0)	(0)	(0)
RENEW_RISID;RENEW_IND	-0.0174	0.1247	0.1114
p-value	(0.7833)	(0.0479)	(0.009)
RENEW_RISID;GOLD	0.0244	0.3332	0.1878
p-value	(0.6998)	(0)	(0)
RENEW_RISID;DOWJONES	-0.7152	-0.6892	-0.4793
p-value	(0)	(0)	(0)
RENEW_IND;GOLD	0.2716	0.2578	0.1835
p-value	(0)	(0)	(0)
RENEW_IND;DOWJONES	0.1889	0.1809	0.1272
p-value	(0.0026)	(0.004)	(0.0026)
GOLD;DOWJONES	0.3461	0.159	0.0709
p-value	(0)	(0.0116)	(0.0937)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
PRICE;PRODUCTION & 0.7478 & 0.76 & 0.5688 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PRICE;RENEW_RISID & -0.1846 & -0.2086 & -0.0957 \tabularnewline
p-value & (0.0033) & (9e-04) & (0.0249) \tabularnewline
PRICE;RENEW_IND & 0.22 & 0.0981 & 0.0929 \tabularnewline
p-value & (4e-04) & (0.1205) & (0.0281) \tabularnewline
PRICE;GOLD & 0.8242 & 0.554 & 0.3787 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PRICE;DOWJONES & 0.6205 & 0.6435 & 0.4396 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PRODUCTION;RENEW_RISID & -0.6115 & -0.6045 & -0.394 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PRODUCTION;RENEW_IND & 0.2277 & 0.2133 & 0.1537 \tabularnewline
p-value & (3e-04) & (7e-04) & (3e-04) \tabularnewline
PRODUCTION;GOLD & 0.5498 & 0.3996 & 0.217 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PRODUCTION;DOWJONES & 0.9083 & 0.872 & 0.6897 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
RENEW_RISID;RENEW_IND & -0.0174 & 0.1247 & 0.1114 \tabularnewline
p-value & (0.7833) & (0.0479) & (0.009) \tabularnewline
RENEW_RISID;GOLD & 0.0244 & 0.3332 & 0.1878 \tabularnewline
p-value & (0.6998) & (0) & (0) \tabularnewline
RENEW_RISID;DOWJONES & -0.7152 & -0.6892 & -0.4793 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
RENEW_IND;GOLD & 0.2716 & 0.2578 & 0.1835 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
RENEW_IND;DOWJONES & 0.1889 & 0.1809 & 0.1272 \tabularnewline
p-value & (0.0026) & (0.004) & (0.0026) \tabularnewline
GOLD;DOWJONES & 0.3461 & 0.159 & 0.0709 \tabularnewline
p-value & (0) & (0.0116) & (0.0937) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113880&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]PRICE;PRODUCTION[/C][C]0.7478[/C][C]0.76[/C][C]0.5688[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PRICE;RENEW_RISID[/C][C]-0.1846[/C][C]-0.2086[/C][C]-0.0957[/C][/ROW]
[ROW][C]p-value[/C][C](0.0033)[/C][C](9e-04)[/C][C](0.0249)[/C][/ROW]
[ROW][C]PRICE;RENEW_IND[/C][C]0.22[/C][C]0.0981[/C][C]0.0929[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](0.1205)[/C][C](0.0281)[/C][/ROW]
[ROW][C]PRICE;GOLD[/C][C]0.8242[/C][C]0.554[/C][C]0.3787[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PRICE;DOWJONES[/C][C]0.6205[/C][C]0.6435[/C][C]0.4396[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PRODUCTION;RENEW_RISID[/C][C]-0.6115[/C][C]-0.6045[/C][C]-0.394[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PRODUCTION;RENEW_IND[/C][C]0.2277[/C][C]0.2133[/C][C]0.1537[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](7e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]PRODUCTION;GOLD[/C][C]0.5498[/C][C]0.3996[/C][C]0.217[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PRODUCTION;DOWJONES[/C][C]0.9083[/C][C]0.872[/C][C]0.6897[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]RENEW_RISID;RENEW_IND[/C][C]-0.0174[/C][C]0.1247[/C][C]0.1114[/C][/ROW]
[ROW][C]p-value[/C][C](0.7833)[/C][C](0.0479)[/C][C](0.009)[/C][/ROW]
[ROW][C]RENEW_RISID;GOLD[/C][C]0.0244[/C][C]0.3332[/C][C]0.1878[/C][/ROW]
[ROW][C]p-value[/C][C](0.6998)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]RENEW_RISID;DOWJONES[/C][C]-0.7152[/C][C]-0.6892[/C][C]-0.4793[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]RENEW_IND;GOLD[/C][C]0.2716[/C][C]0.2578[/C][C]0.1835[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]RENEW_IND;DOWJONES[/C][C]0.1889[/C][C]0.1809[/C][C]0.1272[/C][/ROW]
[ROW][C]p-value[/C][C](0.0026)[/C][C](0.004)[/C][C](0.0026)[/C][/ROW]
[ROW][C]GOLD;DOWJONES[/C][C]0.3461[/C][C]0.159[/C][C]0.0709[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.0116)[/C][C](0.0937)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113880&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113880&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
PRICE;PRODUCTION	0.7478	0.76	0.5688
p-value	(0)	(0)	(0)
PRICE;RENEW_RISID	-0.1846	-0.2086	-0.0957
p-value	(0.0033)	(9e-04)	(0.0249)
PRICE;RENEW_IND	0.22	0.0981	0.0929
p-value	(4e-04)	(0.1205)	(0.0281)
PRICE;GOLD	0.8242	0.554	0.3787
p-value	(0)	(0)	(0)
PRICE;DOWJONES	0.6205	0.6435	0.4396
p-value	(0)	(0)	(0)
PRODUCTION;RENEW_RISID	-0.6115	-0.6045	-0.394
p-value	(0)	(0)	(0)
PRODUCTION;RENEW_IND	0.2277	0.2133	0.1537
p-value	(3e-04)	(7e-04)	(3e-04)
PRODUCTION;GOLD	0.5498	0.3996	0.217
p-value	(0)	(0)	(0)
PRODUCTION;DOWJONES	0.9083	0.872	0.6897
p-value	(0)	(0)	(0)
RENEW_RISID;RENEW_IND	-0.0174	0.1247	0.1114
p-value	(0.7833)	(0.0479)	(0.009)
RENEW_RISID;GOLD	0.0244	0.3332	0.1878
p-value	(0.6998)	(0)	(0)
RENEW_RISID;DOWJONES	-0.7152	-0.6892	-0.4793
p-value	(0)	(0)	(0)
RENEW_IND;GOLD	0.2716	0.2578	0.1835
p-value	(0)	(0)	(0)
RENEW_IND;DOWJONES	0.1889	0.1809	0.1272
p-value	(0.0026)	(0.004)	(0.0026)
GOLD;DOWJONES	0.3461	0.159	0.0709
p-value	(0)	(0.0116)	(0.0937)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = kendall ;

Parameters (R input):

par1 = kendall ;

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