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Patrick.Wessarwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Mon, 13 Dec 2010 19:13:28 +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/13/t1292268107pnda7brc06did2f.htm/, Retrieved Mon, 06 May 2024 22:42:30 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109095, Retrieved Mon, 06 May 2024 22:42:30 +0000

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130

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

-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- R PD  [Kendall tau Correlation Matrix] [WS10 - Correlatio...] [2010-12-13 10:08:55] [1f5baf2b24e732d76900bb8178fc04e7]
- R PD      [Kendall tau Correlation Matrix] [WS10 - Correlatio...] [2010-12-13 19:13:28] [ee4a783fb13f41eb2e9bc8a0c4f26279] [Current]

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Dataseries X:

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10.81	-0.2643	24563400	24.45	2772.73	0.0373	 115.7	5.98
9.12	-0.2643	14163200	23.62	2151.83	0.0353	 109.2	5.49
11.03	-0.2643	18184800	21.90	1840.26	0.0292	 116.9	5.31
12.74	-0.1918	20810300	27.12	2116.24	0.0327	 109.9	4.8
9.98	-0.1918	12843000	27.70	2110.49	0.0362	 116.1	4.21
11.62	-0.1918	13866700	29.23	2160.54	0.0325	 118.9	3.97
9.40	-0.2246	15119200	26.50	2027.13	0.0272	 116.3	3.77
9.27	-0.2246	8301600	22.84	1805.43	0.0272	 114.0	3.65
7.76	-0.2246	14039600	20.49	1498.80	0.0265	 97.0	3.07
8.78	0.3654	12139700	23.28	1690.20	0.0213	 85.3	2.49
10.65	0.3654	9649000	25.71	1930.58	0.019	 84.9	2.09
10.95	0.3654	8513600	26.52	1950.40	0.0155	 94.6	1.82
12.36	0.0447	15278600	25.51	1934.03	0.0114	 97.8	1.73
10.85	0.0447	15590900	23.36	1731.49	0.0114	 95.0	1.74
11.84	0.0447	9691100	24.15	1845.35	0.0148	 110.7	1.73
12.14	-0.0312	10882700	20.92	1688.23	0.0164	 108.5	1.75
11.65	-0.0312	10294800	20.38	1615.73	0.0118	 110.3	1.75
8.86	-0.0312	16031900	21.90	1463.21	0.0107	 106.3	1.75
7.63	-0.0048	13683600	19.21	1328.26	0.0146	 97.4	1.73
7.38	-0.0048	8677200	19.65	1314.85	0.018	 94.5	1.74
7.25	-0.0048	9874100	17.51	1172.06	0.0151	 93.7	1.75
8.03	0.0705	10725500	21.41	1329.75	0.0203	 79.6	1.75
7.75	0.0705	8348400	23.09	1478.78	0.022	 84.9	1.34
7.16	0.0705	8046200	20.70	1335.51	0.0238	 80.7	1.24
7.18	-0.0134	10862300	19.00	1320.91	0.026	 78.8	1.24
7.51	-0.0134	8100300	19.04	1337.52	0.0298	 64.8	1.26
7.07	-0.0134	7287500	19.45	1341.17	0.0302	 61.4	1.25
7.11	0.0812	14002500	20.54	1464.31	0.0222	 81.0	1.26
8.98	0.0812	19037900	19.77	1595.91	0.0206	 83.6	1.26
9.53	0.0812	10774600	20.60	1622.80	0.0211	 83.5	1.22
10.54	0.1885	8960600	21.21	1735.02	0.0211	 77.0	1.01
11.31	0.1885	7773300	21.30	1810.45	0.0216	 81.7	1.03
10.36	0.1885	9579700	22.33	1786.94	0.0232	 77.0	1.01
11.44	0.3628	11270700	21.12	1932.21	0.0204	 81.7	1.01
10.45	0.3628	9492800	20.77	1960.26	0.0177	 92.5	1
10.69	0.3628	9136800	22.11	2003.37	0.0188	 91.7	0.98
11.28	0.2942	14487600	22.34	2066.15	0.0193	 96.4	1
11.96	0.2942	10133200	21.43	2029.82	0.0169	 88.5	1.01
13.52	0.2942	18659700	20.14	1994.22	0.0174	 88.5	1
12.89	0.3036	15980700	21.11	1920.15	0.0229	 93.0	1
14.03	0.3036	9732100	21.19	1986.74	0.0305	 93.1	1
16.27	0.3036	14626300	23.07	2047.79	0.0327	 102.8	1.03
16.17	0.3703	16904000	23.01	1887.36	0.0299	 105.7	1.26
17.25	0.3703	13616700	22.12	1838.10	0.0265	 98.7	1.43
19.38	0.3703	13772900	22.40	1896.84	0.0254	 96.7	1.61
26.20	0.7398	28749200	22.66	1974.99	0.0319	 92.9	1.76
33.53	0.7398	31408300	24.21	2096.81	0.0352	 92.6	1.93
32.20	0.7398	26342800	24.13	2175.44	0.0326	 102.7	2.16
38.45	0.6988	48909500	23.73	2062.41	0.0297	 105.1	2.28
44.86	0.6988	41542400	22.79	2051.72	0.0301	 104.4	2.5
41.67	0.6988	24857200	21.89	1999.23	0.0315	 103.0	2.63
36.06	0.7478	34093700	22.92	1921.65	0.0351	 97.5	2.79
39.76	0.7478	22555200	23.44	2068.22	0.028	 103.1	3
36.81	0.7478	19067500	22.57	2056.96	0.0253	 106.2	3.04
42.65	0.5651	19029100	23.27	2184.83	0.0317	 103.6	3.26
46.89	0.5651	15223200	24.95	2152.09	0.0364	 105.5	3.5
53.61	0.5651	21903700	23.45	2151.69	0.0469	 87.5	3.62
57.59	0.6473	33306600	23.42	2120.30	0.0435	 85.2	3.78
67.82	0.6473	23898100	25.30	2232.82	0.0346	 98.3	4
71.89	0.6473	23279600	23.90	2205.32	0.0342	 103.8	4.16
75.51	0.3441	40699800	25.73	2305.82	0.0399	 106.8	4.29
68.49	0.3441	37646000	24.64	2281.39	0.036	 102.7	4.49
62.72	0.3441	37277000	24.95	2339.79	0.0336	 107.5	4.59
70.39	0.2415	39246800	22.15	2322.57	0.0355	 109.8	4.79
59.77	0.2415	27418400	20.85	2178.88	0.0417	 104.7	4.94
57.27	0.2415	30318700	21.45	2172.09	0.0432	 105.7	4.99
67.96	0.3151	32808100	22.15	2091.47	0.0415	 107.0	5.24
67.85	0.3151	28668200	23.75	2183.75	0.0382	 100.2	5.25
76.98	0.3151	32370300	25.27	2258.43	0.0206	 105.9	5.25
81.08	0.239	24171100	26.53	2366.71	0.0131	 105.1	5.25
91.66	0.239	25009100	27.22	2431.77	0.0197	 105.3	5.25
84.84	0.239	32084300	27.69	2415.29	0.0254	 110.0	5.24
85.73	0.2127	50117500	28.61	2463.93	0.0208	 110.2	5.25
84.61	0.2127	27522200	26.21	2416.15	0.0242	 111.2	5.26
92.91	0.2127	26816800	25.93	2421.64	0.0278	 108.2	5.26
99.80	0.273	25136100	27.86	2525.09	0.0257	 106.3	5.25
121.19	0.273	30295600	28.65	2604.52	0.0269	 108.5	5.25
122.04	0.273	41526100	27.51	2603.23	0.0269	 105.3	5.25
131.76	0.3657	43845100	27.06	2546.27	0.0236	 111.9	5.26
138.48	0.3657	39188900	26.91	2596.36	0.0197	 105.6	5.02
153.47	0.3657	40496400	27.60	2701.50	0.0276	 99.5	4.94
189.95	0.4643	37438400	34.48	2859.12	0.0354	 95.2	4.76
182.22	0.4643	46553700	31.58	2660.96	0.0431	 87.8	4.49
198.08	0.4643	31771400	33.46	2652.28	0.0408	 90.6	4.24
135.36	0.5096	62108100	30.64	2389.86	0.0428	 87.9	3.94
125.02	0.5096	46645400	25.66	2271.48	0.0403	 76.4	2.98
143.50	0.5096	42313100	26.78	2279.10	0.0398	 65.9	2.61
173.95	0.3592	38841700	26.91	2412.80	0.0394	 62.3	2.28
188.75	0.3592	32650300	26.82	2522.66	0.0418	 57.2	1.98
167.44	0.3592	34281100	26.05	2292.98	0.0502	 50.4	2
158.95	0.7439	33096200	24.36	2325.55	0.056	 51.9	2.01
169.53	0.7439	23273800	25.94	2367.52	0.0537	 58.5	2
113.66	0.7439	43697600	25.37	2091.88	0.0494	 61.4	1.81
107.59	0.139	66902300	21.23	1720.95	0.0366	 38.8	0.97
92.67	0.139	44957200	19.35	1535.57	0.0107	 44.9	0.39
85.35	0.139	33800900	18.61	1577.03	0.0009	 38.6	0.16
90.13	0.1383	33487900	16.37	1476.42	0.0003	 4.0	0.15
89.31	0.1383	27394900	15.56	1377.84	0.0024	 25.3	0.22
105.12	0.1383	25963400	17.70	1528.59	-0.0038	 26.9	0.18
125.83	0.2874	20952600	19.52	1717.30	-0.0074	 40.8	0.15
135.81	0.2874	17702900	20.26	1774.33	-0.0128	 54.8	0.18
142.43	0.2874	21282100	23.05	1835.04	-0.0143	 49.3	0.21
163.39	0.0596	18449100	22.81	1978.50	-0.021	 47.4	0.16
168.21	0.0596	14415700	24.04	2009.06	-0.0148	 54.5	0.16
185.35	0.0596	17906300	25.08	2122.42	-0.0129	 53.4	0.15
188.50	0.3201	22197500	27.04	2045.11	-0.0018	 48.7	0.12
199.91	0.3201	15856500	28.81	2144.60	0.0184	 50.6	0.12
210.73	0.3201	19068700	29.86	2269.15	0.0272	 53.6	0.12
192.06	0.486	30855100	27.61	2147.35	0.0263	 56.5	0.11
204.62	0.486	21209000	28.22	2238.26	0.0214	 46.4	0.13
235.00	0.486	19541600	28.83	2397.96	0.0231	 52.3	0.16
261.09	0.6129	21955000	30.06	2461.19	0.0224	 57.7	0.2
256.88	0.6129	33725900	25.51	2257.04	0.0202	 62.7	0.2
251.53	0.6129	28192800	22.75	2109.24	0.0105	 54.3	0.18
257.25	0.6665	27377000	25.52	2254.70	0.0124	 51.0	0.18
243.10	0.6665	16228100	23.33	2114.03	0.0115	 53.2	0.19
283.75	0.6665	21278900	24.34	2368.62	0.0114	 48.6	0.19

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109095&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109095&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109095&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Correlations for all pairs of data series (method=kendall)
	Apple	Omzetgroei	Volume	Microsoft	NASDAQ	Inflatie	Cons_vertrouwen	Fed_funds_rate
Apple	1	0.344	0.461	0.411	0.505	0.042	-0.195	-0.033
Omzetgroei	0.344	1	0.301	0.223	0.294	0.226	-0.137	-0.047
Volume	0.461	0.301	1	0.289	0.445	0.255	0.007	0.213
Microsoft	0.411	0.223	0.289	1	0.641	0.229	0.147	0.273
NASDAQ	0.505	0.294	0.445	0.641	1	0.311	0.177	0.345
Inflatie	0.042	0.226	0.255	0.229	0.311	1	0.189	0.398
Cons_vertrouwen	-0.195	-0.137	0.007	0.147	0.177	0.189	1	0.588
Fed_funds_rate	-0.033	-0.047	0.213	0.273	0.345	0.398	0.588	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & Apple & Omzetgroei & Volume & Microsoft & NASDAQ & Inflatie & Cons_vertrouwen & Fed_funds_rate \tabularnewline
Apple & 1 & 0.344 & 0.461 & 0.411 & 0.505 & 0.042 & -0.195 & -0.033 \tabularnewline
Omzetgroei & 0.344 & 1 & 0.301 & 0.223 & 0.294 & 0.226 & -0.137 & -0.047 \tabularnewline
Volume & 0.461 & 0.301 & 1 & 0.289 & 0.445 & 0.255 & 0.007 & 0.213 \tabularnewline
Microsoft & 0.411 & 0.223 & 0.289 & 1 & 0.641 & 0.229 & 0.147 & 0.273 \tabularnewline
NASDAQ & 0.505 & 0.294 & 0.445 & 0.641 & 1 & 0.311 & 0.177 & 0.345 \tabularnewline
Inflatie & 0.042 & 0.226 & 0.255 & 0.229 & 0.311 & 1 & 0.189 & 0.398 \tabularnewline
Cons_vertrouwen & -0.195 & -0.137 & 0.007 & 0.147 & 0.177 & 0.189 & 1 & 0.588 \tabularnewline
Fed_funds_rate & -0.033 & -0.047 & 0.213 & 0.273 & 0.345 & 0.398 & 0.588 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109095&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]Apple[/C][C]Omzetgroei[/C][C]Volume[/C][C]Microsoft[/C][C]NASDAQ[/C][C]Inflatie[/C][C]Cons_vertrouwen[/C][C]Fed_funds_rate[/C][/ROW]
[ROW][C]Apple[/C][C]1[/C][C]0.344[/C][C]0.461[/C][C]0.411[/C][C]0.505[/C][C]0.042[/C][C]-0.195[/C][C]-0.033[/C][/ROW]
[ROW][C]Omzetgroei[/C][C]0.344[/C][C]1[/C][C]0.301[/C][C]0.223[/C][C]0.294[/C][C]0.226[/C][C]-0.137[/C][C]-0.047[/C][/ROW]
[ROW][C]Volume[/C][C]0.461[/C][C]0.301[/C][C]1[/C][C]0.289[/C][C]0.445[/C][C]0.255[/C][C]0.007[/C][C]0.213[/C][/ROW]
[ROW][C]Microsoft[/C][C]0.411[/C][C]0.223[/C][C]0.289[/C][C]1[/C][C]0.641[/C][C]0.229[/C][C]0.147[/C][C]0.273[/C][/ROW]
[ROW][C]NASDAQ[/C][C]0.505[/C][C]0.294[/C][C]0.445[/C][C]0.641[/C][C]1[/C][C]0.311[/C][C]0.177[/C][C]0.345[/C][/ROW]
[ROW][C]Inflatie[/C][C]0.042[/C][C]0.226[/C][C]0.255[/C][C]0.229[/C][C]0.311[/C][C]1[/C][C]0.189[/C][C]0.398[/C][/ROW]
[ROW][C]Cons_vertrouwen[/C][C]-0.195[/C][C]-0.137[/C][C]0.007[/C][C]0.147[/C][C]0.177[/C][C]0.189[/C][C]1[/C][C]0.588[/C][/ROW]
[ROW][C]Fed_funds_rate[/C][C]-0.033[/C][C]-0.047[/C][C]0.213[/C][C]0.273[/C][C]0.345[/C][C]0.398[/C][C]0.588[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109095&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109095&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)
	Apple	Omzetgroei	Volume	Microsoft	NASDAQ	Inflatie	Cons_vertrouwen	Fed_funds_rate
Apple	1	0.344	0.461	0.411	0.505	0.042	-0.195	-0.033
Omzetgroei	0.344	1	0.301	0.223	0.294	0.226	-0.137	-0.047
Volume	0.461	0.301	1	0.289	0.445	0.255	0.007	0.213
Microsoft	0.411	0.223	0.289	1	0.641	0.229	0.147	0.273
NASDAQ	0.505	0.294	0.445	0.641	1	0.311	0.177	0.345
Inflatie	0.042	0.226	0.255	0.229	0.311	1	0.189	0.398
Cons_vertrouwen	-0.195	-0.137	0.007	0.147	0.177	0.189	1	0.588
Fed_funds_rate	-0.033	-0.047	0.213	0.273	0.345	0.398	0.588	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Apple;Omzetgroei	0.4361	0.5093	0.3438
p-value	(0)	(0)	(0)
Apple;Volume	0.4412	0.6664	0.4607
p-value	(0)	(0)	(0)
Apple;Microsoft	0.5155	0.5546	0.4114
p-value	(0)	(0)	(0)
Apple;NASDAQ	0.5319	0.6525	0.5049
p-value	(0)	(0)	(0)
Apple;Inflatie	-0.1075	0.0366	0.0425
p-value	(0.2488)	(0.6951)	(0.4975)
Apple;Cons_vertrouwen	-0.5662	-0.382	-0.1945
p-value	(0)	(0)	(0.0019)
Apple;Fed_funds_rate	-0.1847	-0.1242	-0.0332
p-value	(0.0462)	(0.1822)	(0.5976)
Omzetgroei;Volume	0.3974	0.4542	0.3007
p-value	(0)	(0)	(0)
Omzetgroei;Microsoft	0.2706	0.3401	0.2228
p-value	(0.0032)	(2e-04)	(4e-04)
Omzetgroei;NASDAQ	0.4229	0.4501	0.2939
p-value	(0)	(0)	(0)
Omzetgroei;Inflatie	0.2873	0.3291	0.2259
p-value	(0.0017)	(3e-04)	(3e-04)
Omzetgroei;Cons_vertrouwen	-0.1614	-0.1972	-0.1372
p-value	(0.0821)	(0.0331)	(0.0298)
Omzetgroei;Fed_funds_rate	-0.0966	-0.0112	-0.0469
p-value	(0.3001)	(0.9042)	(0.4606)
Volume;Microsoft	0.3656	0.4169	0.2891
p-value	(1e-04)	(0)	(0)
Volume;NASDAQ	0.5174	0.6188	0.4453
p-value	(0)	(0)	(0)
Volume;Inflatie	0.3398	0.3906	0.2555
p-value	(2e-04)	(0)	(0)
Volume;Cons_vertrouwen	-0.0867	-0.0045	0.0066
p-value	(0.3526)	(0.9617)	(0.9156)
Volume;Fed_funds_rate	0.3531	0.3481	0.2131
p-value	(1e-04)	(1e-04)	(7e-04)
Microsoft;NASDAQ	0.8153	0.8266	0.6411
p-value	(0)	(0)	(0)
Microsoft;Inflatie	0.3351	0.3289	0.2289
p-value	(2e-04)	(3e-04)	(3e-04)
Microsoft;Cons_vertrouwen	0.1957	0.1957	0.1467
p-value	(0.0345)	(0.0345)	(0.0192)
Microsoft;Fed_funds_rate	0.4036	0.3714	0.2727
p-value	(0)	(0)	(0)
NASDAQ;Inflatie	0.3956	0.4597	0.311
p-value	(0)	(0)	(0)
NASDAQ;Cons_vertrouwen	0.2359	0.2508	0.1765
p-value	(0.0105)	(0.0064)	(0.0048)
NASDAQ;Fed_funds_rate	0.5372	0.5074	0.3449
p-value	(0)	(0)	(0)
Inflatie;Cons_vertrouwen	0.3968	0.3008	0.1894
p-value	(0)	(0.001)	(0.0025)
Inflatie;Fed_funds_rate	0.5306	0.5804	0.398
p-value	(0)	(0)	(0)
Cons_vertrouwen;Fed_funds_rate	0.734	0.7837	0.588
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
Apple;Omzetgroei & 0.4361 & 0.5093 & 0.3438 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Apple;Volume & 0.4412 & 0.6664 & 0.4607 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Apple;Microsoft & 0.5155 & 0.5546 & 0.4114 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Apple;NASDAQ & 0.5319 & 0.6525 & 0.5049 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Apple;Inflatie & -0.1075 & 0.0366 & 0.0425 \tabularnewline
p-value & (0.2488) & (0.6951) & (0.4975) \tabularnewline
Apple;Cons_vertrouwen & -0.5662 & -0.382 & -0.1945 \tabularnewline
p-value & (0) & (0) & (0.0019) \tabularnewline
Apple;Fed_funds_rate & -0.1847 & -0.1242 & -0.0332 \tabularnewline
p-value & (0.0462) & (0.1822) & (0.5976) \tabularnewline
Omzetgroei;Volume & 0.3974 & 0.4542 & 0.3007 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Omzetgroei;Microsoft & 0.2706 & 0.3401 & 0.2228 \tabularnewline
p-value & (0.0032) & (2e-04) & (4e-04) \tabularnewline
Omzetgroei;NASDAQ & 0.4229 & 0.4501 & 0.2939 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Omzetgroei;Inflatie & 0.2873 & 0.3291 & 0.2259 \tabularnewline
p-value & (0.0017) & (3e-04) & (3e-04) \tabularnewline
Omzetgroei;Cons_vertrouwen & -0.1614 & -0.1972 & -0.1372 \tabularnewline
p-value & (0.0821) & (0.0331) & (0.0298) \tabularnewline
Omzetgroei;Fed_funds_rate & -0.0966 & -0.0112 & -0.0469 \tabularnewline
p-value & (0.3001) & (0.9042) & (0.4606) \tabularnewline
Volume;Microsoft & 0.3656 & 0.4169 & 0.2891 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
Volume;NASDAQ & 0.5174 & 0.6188 & 0.4453 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Volume;Inflatie & 0.3398 & 0.3906 & 0.2555 \tabularnewline
p-value & (2e-04) & (0) & (0) \tabularnewline
Volume;Cons_vertrouwen & -0.0867 & -0.0045 & 0.0066 \tabularnewline
p-value & (0.3526) & (0.9617) & (0.9156) \tabularnewline
Volume;Fed_funds_rate & 0.3531 & 0.3481 & 0.2131 \tabularnewline
p-value & (1e-04) & (1e-04) & (7e-04) \tabularnewline
Microsoft;NASDAQ & 0.8153 & 0.8266 & 0.6411 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Microsoft;Inflatie & 0.3351 & 0.3289 & 0.2289 \tabularnewline
p-value & (2e-04) & (3e-04) & (3e-04) \tabularnewline
Microsoft;Cons_vertrouwen & 0.1957 & 0.1957 & 0.1467 \tabularnewline
p-value & (0.0345) & (0.0345) & (0.0192) \tabularnewline
Microsoft;Fed_funds_rate & 0.4036 & 0.3714 & 0.2727 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NASDAQ;Inflatie & 0.3956 & 0.4597 & 0.311 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NASDAQ;Cons_vertrouwen & 0.2359 & 0.2508 & 0.1765 \tabularnewline
p-value & (0.0105) & (0.0064) & (0.0048) \tabularnewline
NASDAQ;Fed_funds_rate & 0.5372 & 0.5074 & 0.3449 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Inflatie;Cons_vertrouwen & 0.3968 & 0.3008 & 0.1894 \tabularnewline
p-value & (0) & (0.001) & (0.0025) \tabularnewline
Inflatie;Fed_funds_rate & 0.5306 & 0.5804 & 0.398 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Cons_vertrouwen;Fed_funds_rate & 0.734 & 0.7837 & 0.588 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109095&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]Apple;Omzetgroei[/C][C]0.4361[/C][C]0.5093[/C][C]0.3438[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Apple;Volume[/C][C]0.4412[/C][C]0.6664[/C][C]0.4607[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Apple;Microsoft[/C][C]0.5155[/C][C]0.5546[/C][C]0.4114[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Apple;NASDAQ[/C][C]0.5319[/C][C]0.6525[/C][C]0.5049[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Apple;Inflatie[/C][C]-0.1075[/C][C]0.0366[/C][C]0.0425[/C][/ROW]
[ROW][C]p-value[/C][C](0.2488)[/C][C](0.6951)[/C][C](0.4975)[/C][/ROW]
[ROW][C]Apple;Cons_vertrouwen[/C][C]-0.5662[/C][C]-0.382[/C][C]-0.1945[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0.0019)[/C][/ROW]
[ROW][C]Apple;Fed_funds_rate[/C][C]-0.1847[/C][C]-0.1242[/C][C]-0.0332[/C][/ROW]
[ROW][C]p-value[/C][C](0.0462)[/C][C](0.1822)[/C][C](0.5976)[/C][/ROW]
[ROW][C]Omzetgroei;Volume[/C][C]0.3974[/C][C]0.4542[/C][C]0.3007[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Omzetgroei;Microsoft[/C][C]0.2706[/C][C]0.3401[/C][C]0.2228[/C][/ROW]
[ROW][C]p-value[/C][C](0.0032)[/C][C](2e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]Omzetgroei;NASDAQ[/C][C]0.4229[/C][C]0.4501[/C][C]0.2939[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Omzetgroei;Inflatie[/C][C]0.2873[/C][C]0.3291[/C][C]0.2259[/C][/ROW]
[ROW][C]p-value[/C][C](0.0017)[/C][C](3e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]Omzetgroei;Cons_vertrouwen[/C][C]-0.1614[/C][C]-0.1972[/C][C]-0.1372[/C][/ROW]
[ROW][C]p-value[/C][C](0.0821)[/C][C](0.0331)[/C][C](0.0298)[/C][/ROW]
[ROW][C]Omzetgroei;Fed_funds_rate[/C][C]-0.0966[/C][C]-0.0112[/C][C]-0.0469[/C][/ROW]
[ROW][C]p-value[/C][C](0.3001)[/C][C](0.9042)[/C][C](0.4606)[/C][/ROW]
[ROW][C]Volume;Microsoft[/C][C]0.3656[/C][C]0.4169[/C][C]0.2891[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Volume;NASDAQ[/C][C]0.5174[/C][C]0.6188[/C][C]0.4453[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Volume;Inflatie[/C][C]0.3398[/C][C]0.3906[/C][C]0.2555[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Volume;Cons_vertrouwen[/C][C]-0.0867[/C][C]-0.0045[/C][C]0.0066[/C][/ROW]
[ROW][C]p-value[/C][C](0.3526)[/C][C](0.9617)[/C][C](0.9156)[/C][/ROW]
[ROW][C]Volume;Fed_funds_rate[/C][C]0.3531[/C][C]0.3481[/C][C]0.2131[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](1e-04)[/C][C](7e-04)[/C][/ROW]
[ROW][C]Microsoft;NASDAQ[/C][C]0.8153[/C][C]0.8266[/C][C]0.6411[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Microsoft;Inflatie[/C][C]0.3351[/C][C]0.3289[/C][C]0.2289[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](3e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]Microsoft;Cons_vertrouwen[/C][C]0.1957[/C][C]0.1957[/C][C]0.1467[/C][/ROW]
[ROW][C]p-value[/C][C](0.0345)[/C][C](0.0345)[/C][C](0.0192)[/C][/ROW]
[ROW][C]Microsoft;Fed_funds_rate[/C][C]0.4036[/C][C]0.3714[/C][C]0.2727[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NASDAQ;Inflatie[/C][C]0.3956[/C][C]0.4597[/C][C]0.311[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NASDAQ;Cons_vertrouwen[/C][C]0.2359[/C][C]0.2508[/C][C]0.1765[/C][/ROW]
[ROW][C]p-value[/C][C](0.0105)[/C][C](0.0064)[/C][C](0.0048)[/C][/ROW]
[ROW][C]NASDAQ;Fed_funds_rate[/C][C]0.5372[/C][C]0.5074[/C][C]0.3449[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Inflatie;Cons_vertrouwen[/C][C]0.3968[/C][C]0.3008[/C][C]0.1894[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.001)[/C][C](0.0025)[/C][/ROW]
[ROW][C]Inflatie;Fed_funds_rate[/C][C]0.5306[/C][C]0.5804[/C][C]0.398[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Cons_vertrouwen;Fed_funds_rate[/C][C]0.734[/C][C]0.7837[/C][C]0.588[/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=109095&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109095&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
Apple;Omzetgroei	0.4361	0.5093	0.3438
p-value	(0)	(0)	(0)
Apple;Volume	0.4412	0.6664	0.4607
p-value	(0)	(0)	(0)
Apple;Microsoft	0.5155	0.5546	0.4114
p-value	(0)	(0)	(0)
Apple;NASDAQ	0.5319	0.6525	0.5049
p-value	(0)	(0)	(0)
Apple;Inflatie	-0.1075	0.0366	0.0425
p-value	(0.2488)	(0.6951)	(0.4975)
Apple;Cons_vertrouwen	-0.5662	-0.382	-0.1945
p-value	(0)	(0)	(0.0019)
Apple;Fed_funds_rate	-0.1847	-0.1242	-0.0332
p-value	(0.0462)	(0.1822)	(0.5976)
Omzetgroei;Volume	0.3974	0.4542	0.3007
p-value	(0)	(0)	(0)
Omzetgroei;Microsoft	0.2706	0.3401	0.2228
p-value	(0.0032)	(2e-04)	(4e-04)
Omzetgroei;NASDAQ	0.4229	0.4501	0.2939
p-value	(0)	(0)	(0)
Omzetgroei;Inflatie	0.2873	0.3291	0.2259
p-value	(0.0017)	(3e-04)	(3e-04)
Omzetgroei;Cons_vertrouwen	-0.1614	-0.1972	-0.1372
p-value	(0.0821)	(0.0331)	(0.0298)
Omzetgroei;Fed_funds_rate	-0.0966	-0.0112	-0.0469
p-value	(0.3001)	(0.9042)	(0.4606)
Volume;Microsoft	0.3656	0.4169	0.2891
p-value	(1e-04)	(0)	(0)
Volume;NASDAQ	0.5174	0.6188	0.4453
p-value	(0)	(0)	(0)
Volume;Inflatie	0.3398	0.3906	0.2555
p-value	(2e-04)	(0)	(0)
Volume;Cons_vertrouwen	-0.0867	-0.0045	0.0066
p-value	(0.3526)	(0.9617)	(0.9156)
Volume;Fed_funds_rate	0.3531	0.3481	0.2131
p-value	(1e-04)	(1e-04)	(7e-04)
Microsoft;NASDAQ	0.8153	0.8266	0.6411
p-value	(0)	(0)	(0)
Microsoft;Inflatie	0.3351	0.3289	0.2289
p-value	(2e-04)	(3e-04)	(3e-04)
Microsoft;Cons_vertrouwen	0.1957	0.1957	0.1467
p-value	(0.0345)	(0.0345)	(0.0192)
Microsoft;Fed_funds_rate	0.4036	0.3714	0.2727
p-value	(0)	(0)	(0)
NASDAQ;Inflatie	0.3956	0.4597	0.311
p-value	(0)	(0)	(0)
NASDAQ;Cons_vertrouwen	0.2359	0.2508	0.1765
p-value	(0.0105)	(0.0064)	(0.0048)
NASDAQ;Fed_funds_rate	0.5372	0.5074	0.3449
p-value	(0)	(0)	(0)
Inflatie;Cons_vertrouwen	0.3968	0.3008	0.1894
p-value	(0)	(0.001)	(0.0025)
Inflatie;Fed_funds_rate	0.5306	0.5804	0.398
p-value	(0)	(0)	(0)
Cons_vertrouwen;Fed_funds_rate	0.734	0.7837	0.588
p-value	(0)	(0)	(0)

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