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R Software Module

Patrick.Wessarwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 10 Dec 2010 12:53:20 +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/10/t1291985595jdzzeknmhod2uti.htm/, Retrieved Mon, 29 Apr 2024 10:14:04 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107625, Retrieved Mon, 29 Apr 2024 10:14:04 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

172

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]
F   PD    [Kendall tau Correlation Matrix] [WS10] [2010-12-10 12:53:20] [0cadca125c925bcc9e6efbdd1941e458] [Current]
- RMP       [Kendall tau Correlation Matrix] [WS10 - Pearson co...] [2010-12-10 14:41:56] [4a7069087cf9e0eda253aeed7d8c30d6] 
- RMP       [Kendall tau Correlation Matrix] [WS10 - Pearson co...] [2010-12-10 14:45:34] [4a7069087cf9e0eda253aeed7d8c30d6] 
-   P       [Kendall tau Correlation Matrix] [Peer review PM10 ...] [2010-12-20 11:04:18] [f4dc4aa51d65be851b8508203d9f6001] 
-   P       [Kendall tau Correlation Matrix] [] [2010-12-21 13:32:33] [74be16979710d4c4e7c6647856088456] 

Feedback Forum

2010-12-19 11:57:26 [48eb36e2c01435ad7e4ea7854a9d98fe] [reply] 
De student heeft hier op een correcte wijze een Pearson Correlatiematrix berekent. Ook de conclusies die geformuleerd zijn, werden op correcte wijze afgeleid uit de tabel. De student heeft bovendien ook getracht een verklaring te zoeken voor datgene wat hij of zij heeft opgemerkt en ook dat is zeer positief. 
 
Maar, er ontbreken wel enkele belangrijke opmerkingen. Wetende dat een correlatiecoefficient van nul betekent dat er geen correlatie bestaat, dienen we op te merken dat de berekende correlatiecoefficienten niet bijzonder groot zijn. Het is dus van extra groot belang dat er nagegaan wordt of deze wel significant verschillend zijn van nul. De P waarde van de hypothesetoets is opgenomen in de correlatiematrix. Maar, om een hypothesetoets te mogen uitvoeren, moeten de variabelen normaal verdeeld zijn. We zien - op de histogrammen opgenomen in de correlatiematrix - dat dit niet het geval is en mogen dus de correlatiecoefficienten niet testen. 
 
Om die reden - en dit ontbreekt bij de student - dienen we eigenlijk de Kendall Tau Correlatie te bepalen. Hierbij mag namelijk altijd de hypothesetoets uitgevoerd worden.

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Dataseries X:

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3.66356	7.74414	-4.4	4.2	0	18	19	116
3.04452	8.03398	-5.7	4.8	-0.3	69.1	9	506
3.71357	4.70048	-13.5	4.3	0.2	80	3	95
2.94444	7.5251	1.4	3	0.1	177	22	161
4.06044	7.7626	4.1	5.6	1.1	287	7	80
3.68888	7.88683	5.8	2.3	-0.1	200	9	33
3.3322	7.81521	2.7	1.9	0.4	228	7	129
3.3673	7.77779	7.1	8.9	0.2	220	15	155
2.07944	6.89163	4.1	2	0.1	183	9	132
1.94591	7.6774	1.1	5.2	0.1	43.1	10	480
3.3322	5.71373	-9	3.4	0	80	6	98
3.21888	8.33471	1.6	4.4	-0.3	78.1	16	558
1.09861	4.65396	-0.4	5.7	0.8	267	3	121
5.3845	7.38895	-4.8	6	0	81	20	122
3.93183	7.81763	-0.9	1.4	-0.3	236	15	51
3.3673	4.96981	-0.5	0.6	1.7	341.1	4	552
2.83321	7.80384	-1	1.8	0	16	7	150
3.04452	7.62168	-2.3	5.2	-0.1	66.1	12	428
2.99573	5.21494	5.8	2.6	-0.2	68.8	3	582
4.21951	7.64204	5.1	2.2	1.1	199	18	538
3.04452	7.77149	10.8	2.4	-1.5	329.8	13	579
3.7612	8.31385	12.2	4	-2.8	230.4	17	572
3.58352	7.63964	-2.8	2.1	-1.6	210.2	11	512
2.48491	7.05531	11.2	3.3	2.3	302.8	23	604
2.48491	7.38275	13.6	0.6	-0.8	159.8	11	602
3.3322	7.56786	-12.3	3.7	-0.2	70	12	460
3.13549	7.92226	4.2	1.4	0.2	161	7	127
2.07944	7.38771	-2.8	4.5	0.1	53.3	21	417
3.68888	7.4793	3.4	7.2	0.5	209.1	12	477
2.99573	3.97029	-11.7	2.7	1.7	81	4	87
3.98898	8.05102	-2.5	3.2	0.1	83	9	51
3.04452	6.67834	3.9	4.8	-0.6	66.8	8	573
3.55535	7.34601	3	1.4	1	200	21	177
1.79176	7.54062	0	6.1	-0.2	207.5	19	489
3.04452	4.82028	-2.6	2.1	0.7	72.8	4	530
2.56495	7.80057	1	2.2	0	99	7	65
4.36945	7.41878	-0.2	1.1	3.2	138	22	49
3.46574	7.96032	7.7	4.8	-0.2	66	17	196
4.60517	8.23669	10.7	5.3	-0.9	205	17	192
3.09104	8.30721	9.3	7.3	-0.5	206	17	212
4.15888	8.26333	9.5	5	-0.9	208	17	208
1.79176	7.50329	1.6	4.5	0.1	117	19	62
2.48491	6.49527	-3.4	0.5	1.1	217	6	135
3.21888	7.74414	-1.3	4.2	-0.2	59	15	149
3.73767	6.75577	-3.2	2.6	0.6	70.5	21	398
4.2485	6.51915	-1.8	2.3	1.1	81	23	174
3.8712	4.77068	-0.5	0.5	0.7	358	4	402
4.00733	7.88721	7.6	4	-0.6	180	13	208
2.94444	5.42053	3.4	2.9	0.4	74.7	3	567
3.09104	3.80666	7.4	3.2	-0.1	225	3	205
1.94591	4.8752	-3.5	3.8	-0.1	60.5	3	418
3.52636	8.25088	19.8	4.8	-1.9	260	17	206
3.8712	7.85516	16.3	3.4	-0.1	225.3	20	605
2.99573	8.25427	-7.3	5	0	60	8	506
4.07754	7.36201	-0.6	0.8	1.1	88.3	21	422
3.21888	7.59388	-0.4	4.5	-0.2	64.6	13	430
3.49651	8.35208	17.8	5	-2.5	219.6	16	599
3.2581	4.62497	-1.9	2.2	2.2	268	4	172
2.99573	7.39879	-10	3.8	-0.1	78.4	20	449
2.70805	6.48616	-1.3	2.9	0.7	63.3	24	397
3.09104	6.20456	4.7	1.5	1.1	104.4	1	588
4.06044	7.64348	0.3	1.5	-0.3	172	13	130
3.61092	7.59337	8.8	2.2	0	186	21	577
2.56495	6.43455	-9.3	3.6	0.1	71.2	9	450
1.60944	7.00033	-2.4	5.8	0	61	22	418
5.0876	7.49499	2.9	1.2	2.1	271.1	21	543
2.30259	7.80221	2.5	5	0.1	135	7	128
3.2581	7.55276	13.4	3.9	0.3	216.8	19	606
3.66356	6.82979	-15.5	3.1	0.2	70.3	22	460
3.04452	7.49053	-1.6	2.2	-0.9	211.7	12	501
3.4012	7.59035	0.1	2.6	-0.1	73	11	66
3.04452	5.51745	-2.8	0.5	2.2	5	5	155
3.4012	8.18619	-0.9	1.3	0.6	57	8	67
3.55535	5.95842	-10.3	1.2	2.5	86	24	86
3.97029	7.55276	-4.1	0.7	-0.7	264.8	13	401
4.72739	7.77022	-3.8	4.9	-0.2	68	7	166
4.30407	7.99834	8.2	5.6	-0.6	210	15	212
2.56495	7.15305	-4.8	4.7	-0.1	74.6	23	441
3.78419	7.95997	-4.3	6	0.1	18	13	82
4.95583	6.57508	6.2	1.3	1.1	226	24	200
3.66356	7.88231	3.3	5.8	-0.1	46.9	19	557
5.26786	7.43603	-1	1.8	1.4	89	20	44
3.46574	4.95583	-4	1.7	1	65	2	165
2.07944	5.1299	7.8	1.6	1.7	184.3	4	604
3.3673	7.20638	-5.3	1.8	-0.2	80	13	451
3.29584	7.46107	2.2	3.1	0.1	62.3	13	470
2.19722	7.53209	14.8	4.2	-4.5	227.7	11	588
3.43399	8.13359	-4.8	1.5	0	196	17	100
3.2581	6.91771	12.8	1	0.3	103.5	24	602
2.83321	7.12206	-3.2	4.6	-0.1	62.2	12	427
3.63759	8.2845	0.7	0.8	-0.8	86	8	541
2.70805	7.56528	3.5	6.9	0.2	204.4	15	482
2.99573	7.65112	-6.8	2.2	-0.4	78.8	16	517
4.00733	7.67183	8.3	0.7	-1.3	206.2	14	532
3.43399	6.31173	-19	2.3	0.8	60.9	8	461
0.69315	7.0775	7	4	-0.2	54.3	10	578
3.52636	7.34148	-14.6	1.6	-0.4	228.9	14	457
2.63906	7.96346	3.6	3.2	1.2	268	18	42
1.94591	7.35116	3.5	1.9	0.2	215	20	107
3.71357	7.54115	5.2	0.9	-1	280	11	155
2.83321	6.64249	-8.3	2.6	0.2	60	23	85
3.43399	7.56579	0.6	3.8	-0.4	64.6	12	507
3.29584	8.1806	-0.5	0.7	-0.2	248	15	124
3.17805	7.60738	1	2.4	-0.1	192	13	38
4.81218	7.54327	-8	0.6	0.5	88	13	94
4.63473	8.20985	-3	1.5	2.7	89.6	8	470
3.04452	5.76205	5	3.2	0	58	6	195
3.8712	6.91274	-5.1	0.8	1.4	241	23	137
3.68888	8.19781	0.2	2.4	0.5	80	8	72
4.33073	7.6024	12.9	5.6	-0.8	46	13	188
4.61512	7.54327	2.6	2.6	-1.9	243	11	45
4.43082	7.70661	7.8	8	-1.2	33.7	13	556
3.4012	5.54518	-0.7	2	-0.3	254	1	542
2.48491	7.68432	7.7	1.5	-0.1	89	16	209
3.29584	7.90064	1.5	1.3	0.9	334.7	18	422
2.94444	7.76684	15.8	3.2	-0.2	125.5	17	595
3.3673	7.97797	4.3	5.7	-1	232	9	156
2.89037	7.89767	8.1	6.4	-0.5	199.4	7	577
4.90527	8.24065	11.6	6	-1.3	213	16	193
2.63906	7.07581	2.8	3.2	0.3	223	10	69
3.29584	7.7424	-4.4	4.9	-0.1	23	10	82
3.71357	6.97915	-5.1	3.3	1.4	81	23	98
4.39445	8.27741	2	2.5	-0.3	207.2	16	536
3.82864	8.01268	10	4.8	-0.5	83.2	9	600
2.56495	5.78996	1.1	4	-0.1	79	3	70
3.3322	7.45934	6.1	2.5	0	92	22	210
3.13549	6.22851	0.1	1.9	1.1	208.8	6	538
0.69315	6.45362	-2.6	4.9	0.2	38.3	23	405
4.00733	7.7178	7.9	0.4	0.5	276	19	184
3.2581	7.92696	4.8	9.4	0.6	204	14	474
3.2581	6.56244	2.6	2.8	-0.7	224.1	8	545
4.84419	8.17273	-9.6	1.1	1.3	191	16	94
2.63906	5.1299	-1.5	2.5	-0.1	245.1	4	510
1.38629	4.54329	3.8	5.8	0.7	201.9	3	473
3.2581	5.71043	1.8	2.7	0.9	181.9	1	527
2.30259	8.19257	-0.7	4.1	0.6	252	8	121
3.09104	5.00395	3.6	2.7	1.2	344.7	4	533
2.94444	7.39817	3.9	6.2	0.7	206	20	155
3.4012	6.63988	4.7	3.6	0	59	24	196
2.99573	6.29342	-2.5	4.9	-0.2	84	7	167
3.82864	7.4378	-9.9	4.5	-0.1	55	11	89
2.30259	7.7977	1.7	2	0.3	38	15	63
4.29046	7.33629	-12.8	3.5	0	79	19	97
4.41884	7.51589	4.3	2.1	0.6	32.3	20	555
3.3673	7.70841	2.1	3.1	0	79	10	64
2.30259	4.64439	-2.2	4.9	-0.1	77	2	114
3.98898	7.77402	3.3	1.8	-0.3	220	10	155
4.12713	5.05625	5.6	3.5	-0.1	78	4	184
3.68888	5.86363	-0.6	0.6	1.7	142	1	79
2.30259	5.52943	3.4	4.7	0.8	220.1	5	474
3.29584	7.91754	0.2	2.8	0.4	335	15	53
3.13549	6.74052	-6.4	2.8	-0.1	77	22	84
2.07944	6.53669	8	1.9	-0.2	54.6	8	578
5.25227	7.82844	3.6	0.8	1.5	87.7	19	529
3.78419	7.74846	-13.4	4	0.2	74.1	13	448
3.97029	5.71043	-2.1	1.3	1.8	87.8	1	485
2.99573	5.64897	-8.7	4.3	-0.2	74.5	1	450
2.56495	6.42972	1.6	1.3	1	58	8	76
3.21888	6.51323	-3.9	2.8	0.4	71.3	8	398
1.38629	7.93057	1.4	2.5	0.2	210.5	19	525
3.13549	7.59337	3.3	4.2	1.2	235	20	138
4.06044	7.19818	3	1.8	1.1	191	22	192
4.27667	8.23377	7.2	3.8	-0.2	31	15	173
3.49651	8.13212	-1.7	1.5	-0.1	68	8	515
3.21888	7.87284	0.8	5	0.1	76.2	19	514
4.07754	7.53102	0.1	3.5	1.2	66.3	20	397
4.20469	7.49276	4.5	6.6	-0.1	210	12	156
4.18965	5.65599	0.3	1.5	1.7	303.4	1	529
2.48491	7.07327	-0.9	1.6	-0.5	256.5	9	510
1.09861	6.33683	2.2	2.8	0.1	142	1	63
2.48491	7.21229	-0.6	2.1	0.1	60	21	134
2.48491	7.86978	3.2	2.6	1.3	286	20	42
0.69315	7.84031	4.1	2.7	0.2	175	19	56
4.34381	7.98344	-4.8	0.8	1.1	230.1	17	445
2.63906	7.03086	7.1	1.6	0.5	66.4	22	593
3.29584	7.90175	-4.4	3.8	0.1	15	9	82
4.17439	7.72223	7.1	3.9	-0.9	90	10	197
3.71357	8.19451	0	0.8	-0.3	254.2	16	500
4.02535	7.84698	11.6	4.2	-2.7	247	14	200
4.85203	7.58731	3.1	2.2	-3.4	227	11	148
4.64439	6.47235	1.5	1.2	1.3	101	24	191
3.63759	7.74932	15	7.3	-2.2	229.9	14	584
3.4012	8.12711	3.6	4.9	1.2	238	18	138
1.79176	5.68358	5.7	1.9	0.3	49	6	189
4.11087	7.58274	3.4	6.9	-0.1	194.9	11	548
3.3673	8.01434	10.1	2.4	-0.3	44	17	189
4.44265	7.65539	-2.4	2.6	0.7	78.3	18	398
2.77259	7.83716	0.2	4.5	0	80	7	157
3.71357	6.9921	-15	3.3	0.6	66	23	462
5.17048	8.08209	5.2	7.2	-1.3	202.7	14	537
3.09104	7.85554	4.1	3.4	0.1	79	7	170
2.70805	7.68064	6.3	9.4	0.2	248	16	160
4.11087	7.5438	8.7	4	-1.2	216.3	14	538
4.79579	8.30598	2.4	4.2	-0.7	65.1	8	556
2.3979	5.95324	-5.3	1	2.2	60	9	77
2.99573	6.2634	2.5	4.3	-0.1	79	24	69
3.13549	8.25036	9.3	5.4	-0.8	213	16	212
3.43399	7.61776	-5.6	3.1	-0.5	77.4	11	519
3.4012	7.44425	5.6	7	1	248.1	12	471
3.09104	7.87169	-1.7	0.5	0	218	18	51
4.45435	7.64492	-5.6	4.9	-0.1	56.7	7	409
4.18965	7.46851	-3.5	0.7	0.2	165.1	20	520
3.73767	8.18256	-11.2	3.7	0.2	78	16	96
4.20469	5.10595	-11.9	0.6	0.8	286.5	4	489
2.56495	5.79301	2.1	2.6	3.1	241	1	32
2.56495	7.14125	1	4.5	1.3	232	21	145
4.85981	7.69303	8.8	3.6	-2.5	85.4	12	547
5.25227	7.23056	-4.6	6.5	0.1	80	21	122
2.63906	6.0845	-5.8	2	-0.3	107.5	1	518
3.13549	5.72031	1	1.8	0.6	92	3	76
1.94591	6.81892	0.1	1.7	-0.1	214	11	112
3.4012	5.67332	-1.9	0.9	3.7	109.2	5	397
4.72739	8.26178	1	3.4	1.3	248	8	43
3.3673	5.92959	2.1	3.8	0.5	64.2	1	531
3.2581	7.53262	6.1	2.5	-0.1	182.5	21	572
3.73767	8.11761	0.2	0.8	0.9	11	16	113
1.79176	7.98446	1.9	5.8	0.2	9	9	80
4.06044	7.7463	11.8	6	-0.7	212.7	14	582
3.91202	8.19229	-4.4	1.5	0.5	87.9	8	423
0.69315	6.43294	1.9	2.4	0.1	133	24	62
1.60944	5.2832	8.6	1.8	1.5	242	3	34
4.46591	8.22336	9.1	9.4	-0.5	39.4	16	556
3.17805	7.68983	13	0.3	0.4	114	22	602
2.89037	6.70564	1.8	0.8	0.1	269	6	141
4.17439	7.58426	4	3.1	-1.7	103.7	12	554
3.73767	8.04943	-7.8	0.6	-0.1	177	17	95
4.00733	7.72886	8.7	5.5	-0.4	132.3	14	573
3.04452	7.51806	-4.9	4.1	-0.2	73.8	13	436
2.63906	7.58172	-8.8	8.1	-0.1	53	18	90
4.11087	8.28425	2.9	3.3	0.8	22.1	17	397
4.47734	8.01731	0.4	3.9	0.7	67.4	18	507
3.17805	7.67786	-0.7	4.3	-0.4	59	13	151
3.3322	7.8598	4.2	2.7	1.1	230.7	18	526
0.69315	4.79579	2.7	2.8	0.2	187	4	131
4.58497	7.66528	7.4	0.9	-0.2	55	13	184
0.69315	4.36945	0.6	4.6	0.1	350	3	171
3.4012	7.5251	6	3.5	-0.2	78.1	21	571
2.07944	7.73849	1.6	1.6	0.3	211.3	21	525
4.55388	7.62071	3.4	5.9	-0.6	45	13	164
3.21888	5.39363	3.3	1.7	-0.1	187	4	202
2.77259	5.87774	-5.4	5.1	-0.2	72.2	2	441
3.29584	5.8522	4.2	1.7	1	175	5	587
3.3322	8.02027	2	6	-0.1	152	18	61
4.02535	7.23706	-14.2	1.4	-0.1	238.1	18	457
4.38203	7.83281	9.4	2.9	-0.3	248.4	15	540
2.99573	4.60517	1.5	1.1	0.2	233.7	3	480
3.55535	8.11073	0.6	6.8	0.3	10	8	54
3.2581	7.57917	2.5	3	-0.2	83	13	64
4.47734	8.31361	-0.3	3	-0.8	71.8	8	554
4.06044	4.86753	1.4	0.7	1.5	79.4	4	563
3.21888	7.50879	-0.7	4	-0.5	65.1	11	507
4.46591	6.51323	-8.1	0.7	1.2	111	24	143
3.13549	6.6107	-13.1	3.5	0	83	9	97
2.30259	4.70048	6.3	6	0.9	219.2	2	586
3.61092	6.94986	-3.8	0.7	-0.2	258	23	74
3.13549	5.72685	-3.6	0.8	4	302.4	5	470
3.89182	8.16337	-1.1	1.5	-0.2	157.4	16	521
3.21888	7.7012	15.8	3.9	-0.4	119.5	15	595
3.17805	4.45435	-5.1	3.4	0.4	58.4	3	507
3.73767	8.28248	8.5	3.1	-0.7	238	8	205
2.3979	8.05833	-2.1	4.1	-0.2	82	8	114
3.68888	7.90027	1.5	0.5	-0.6	99.2	13	509
4.26268	7.34148	3	0.8	0.6	86	21	32
4.94164	7.90027	-12.6	2.2	0.2	77.8	19	488
3.29584	7.65917	3	3.1	-0.1	221	14	169
2.07944	5.60947	-5.2	2.9	0.1	60	2	90
2.19722	7.15227	3.5	0.9	0.2	265	22	169
2.07944	5.42495	2.8	1.3	0	75.8	2	404
4.54329	7.8071	6.5	4.3	-1.1	44	11	173
2.07944	7.94839	2.5	3.6	-0.1	54.7	16	574
4.36945	8.34069	6.3	4.2	-0.1	76	16	166
3.97029	7.54062	-1.4	1.7	-0.2	86	12	51
3.98898	5.89164	1.7	1.1	2.4	173.1	1	533
2.99573	7.52402	2.4	7.9	-0.1	43.5	21	557
3.52636	6.43294	-0.1	1.6	-0.2	75	22	55
2.99573	7.50219	3.1	1.7	0.3	269	12	69
5.39363	8.04045	12.9	8.3	-1.1	357.5	14	551
3.63759	7.31986	-13.4	3.8	0.1	75	11	448
2.30259	5.43372	0.7	3.9	0.1	182.9	2	491
4.92725	7.94058	2.4	1	0.4	110.7	7	533
2.94444	8.17808	-1.3	5.6	-0.2	46	17	149
2.70805	7.65728	-6.3	4	-0.1	51.6	19	408
2.07944	7.56164	3.5	1.8	0	71.2	21	576
3.4012	7.98752	0	4	-0.3	78.5	9	430
5.05625	7.63143	11.8	2.4	-1.5	232.5	14	535
4.93447	7.63192	5.8	1.9	-3.1	260.8	12	541
2.56495	7.6324	3.1	4.7	-0.1	48	12	576
3.04452	7.9248	1.4	2.1	0	221	17	525
1.38629	4.30407	0.8	3.1	1.6	77	3	50
2.77259	7.67555	6.8	9.9	-0.2	249	15	160
3.91202	7.1025	1.3	8	0	61.6	23	557
4.35671	7.95437	6.8	1.5	-0.6	124.9	7	585
3.4012	7.87474	-6.8	1	0	207	15	84
4.02535	7.85166	10.5	4.4	-0.9	69	15	198
3.73767	8.26049	3.8	5.2	0	222	8	163
2.94444	7.7411	-12.8	3.6	0.1	68.4	14	460
4.09434	5.24702	1.3	0.8	1.1	72.3	5	563
3.04452	5.24175	-4.2	1.4	3.6	230	2	155
3.17805	7.55224	-0.6	2.5	-0.1	75	13	111
2.56495	7.96242	-6.1	5.2	0.4	27	18	82
2.63906	6.85751	5.1	5.5	0.1	230	10	126
3.09104	8.1191	0.8	3	-0.1	78	17	65
3.4012	8.00068	-4.4	3.7	-0.1	78	14	68
2.19722	4.11087	-6.5	2.1	-0.1	68.2	5	451
3.7612	4.81218	-3.7	0.9	-0.1	281.3	4	513
2.77259	6.42811	0.7	2.9	1.4	229.6	24	473
3.4012	4.95583	-5.7	3.3	0.6	72	2	401
3.61092	6.16121	8.4	3.3	0.7	80.5	24	564
3.3673	6.55251	-0.2	2.8	0.7	71	23	72
0.69315	5.1299	-1.9	4.5	0.4	17	2	40
2.94444	5.18739	-7.3	1.9	0.5	85	3	118
4.17439	7.91608	0.1	2.1	2	77	18	49
2.83321	7.33954	-5.9	2.9	0.2	64.6	22	406
3.04452	7.0076	4.7	5.6	0	69	23	211
3.2581	7.87664	4.2	4.4	0.6	189.8	15	472
3.21888	7.23778	2.1	5.4	0.1	159	21	61
4.23411	7.64348	-0.5	2.1	-2	247.8	14	513
4.81218	7.08339	-3.7	1.1	0.1	192	22	101
4.39445	7.95718	6.5	6.2	-0.1	210.8	18	547
2.63906	6.42162	2.1	4.1	0.7	260	24	43
3.2581	7.29029	-3.1	1	-0.2	211	21	102
1.94591	5.42495	-12.8	0.8	1.2	55	6	91
2.94444	7.29029	3.8	4.3	0.5	210	22	105
2.56495	7.52348	3.4	6	0.2	191	14	482
3.21888	5.63479	-4.2	2.1	1.1	91	2	68
2.77259	7.97694	-1.7	5.2	0	76	8	124
4.61512	7.78197	5.4	3.6	-1.1	44	10	173
1.60944	5.743	3.4	4.9	0.7	243	2	140
2.07944	5.743	-0.2	5.6	0.2	16.6	2	553
3.8712	5.62762	2.1	1.5	2	227.8	5	533
3.17805	7.85477	-12.5	3.2	0.2	82.1	15	456
3.58352	7.56941	-4.1	4.3	-0.1	44.7	14	409
4.68213	7.08087	-9.8	0.5	0.2	131	21	83
2.56495	7.43603	-4.9	4.7	-0.1	79.6	21	441
2.30259	6.11368	-5.2	3.5	0	59	1	90
3.55535	7.97488	-1.6	3.5	0.5	34.5	18	480
3.46574	6.69084	6.4	1.2	0	188	6	207
2.48491	7.79523	2	2.8	1.6	242	18	127
4.21951	5.21494	-8.5	1.5	2.8	279	10	93
2.30259	7.65112	3.6	7.6	0.5	199.3	17	482
2.70805	6.12905	0.4	0.8	0.1	297	7	524
2.99573	8.08979	1.2	3.6	0.1	63.9	15	411
2.48491	5.76519	-3.5	3.2	0	240.2	2	504
3.13549	8.06401	3.6	2.3	-0.3	9.4	9	549
4.15888	7.39265	-14.9	1.9	0.8	65	20	91
1.79176	6.43294	1	2.5	-0.2	75	10	70
3.29584	7.62462	-1.7	1.6	-0.1	172	19	51
2.83321	5.22036	3.4	1.1	1.4	89	6	565
3.52636	6.35611	6.9	7	0.8	220	24	34
3.2581	4.47734	-4.8	2.5	0.4	84	3	101
3.98898	6.50279	4.2	3.9	0.6	78	24	197
1.60944	6.88959	1.5	4	0.1	240.4	22	523
3.49651	7.32909	-2.9	1.9	1.7	337.8	19	468
3.17805	7.3601	-8.2	4.7	-0.2	76.5	11	408
4.67283	7.77107	7	3.1	-0.3	73	10	185
3.43399	6.16121	8.1	1.9	-0.1	211.9	1	578
2.07944	7.97281	3.7	4.2	0.2	172	9	128
3.29584	7.90323	0.7	2.1	1.3	207.1	18	473
2.30259	8.16223	0.4	8.6	0.1	34	17	39
2.07944	4.83628	-10.4	1.9	1.1	75	7	86
0.69315	4.91998	6.5	4.5	0.4	206	2	57
3.13549	7.47591	9	4.6	-0.9	208.7	10	587
3.82864	7.52941	10.1	1.1	-3.1	255	11	188
3.8712	7.88796	-0.3	1.7	0.4	26.9	15	416
2.99573	4.47734	-4.4	2.6	0.8	85	4	38
3.2581	7.73281	1.7	1.5	1.1	345	19	158
3.3322	6.93245	-3.2	0.8	-0.1	260	22	68
3.49651	7.65634	-5.9	3.1	-0.1	77	16	85
1.94591	7.0193	3.7	3.6	0.1	195	22	107
4.57471	8.0762	9.9	2.2	0	92	16	177
3.91202	7.90175	7.4	4.3	-0.3	178	18	190
3.80666	6.89669	5.1	2.5	0.7	80	23	197
3.93183	4.30407	3.2	1.5	0.4	75	3	194
2.48491	5.15906	0	4.3	0.1	102.7	3	477
3.13549	7.82764	-5.6	6.1	-0.2	79.5	17	441
2.94444	7.02554	0.7	2.4	-0.2	232.5	23	542
3.4012	7.90175	15.1	2.9	0.2	113.9	19	567
1.94591	5.73334	-2.2	4.3	-0.1	72	5	124
3.17805	5.34711	-3.8	2.7	-0.2	80.5	3	511
3.21888	7.58477	4.2	6.5	0.4	214.3	11	474
2.63906	6.84055	-13.1	4.8	-0.2	52.8	11	462
3.3322	7.55381	-0.2	3.9	-0.2	79.6	12	430
2.70805	4.78749	1.5	3.2	0.1	153	4	61
3.78419	6.86485	0.8	1.5	-0.1	231.5	23	540
3.78419	7.81197	-6.6	2.2	1.3	87	7	122
1.60944	7.89469	2.1	4	-0.1	47.8	14	574
3.3673	7.76132	1.7	2.9	-0.1	81	14	60
3.04452	6.07764	-4.1	5.4	-0.1	66.5	1	427
4.45435	7.80954	18.2	3.7	-2.7	250.7	15	568
1.94591	5.4848	2.2	2	1.9	253.8	5	473
2.63906	5.27811	-7.8	4.6	-0.1	71.5	19	450
3.3322	7.76684	-5.4	3	-0.2	77	14	85
3.43399	5.5835	-4.5	4.1	0.3	59.4	1	507
3.89182	7.86634	8	6.1	0.1	197	19	212
2.19722	8.19644	2.7	3.8	0.2	139	8	128
4.59512	7.59186	-5.6	3.9	-0.2	41	13	116
3.49651	5.54126	4.6	0.9	0.5	108	5	190
2.83321	7.55799	12	4.4	0.2	274.2	20	584
2.19722	6.51471	4.4	2	0.7	205	6	33
2.89037	6.21461	4.5	3.5	0	55	9	196
3.4012	6.63988	0.2	0.5	1.4	84.8	24	483
2.99573	6.02345	-18.6	2.3	0.1	79.4	7	457
3.73767	7.62413	0.1	2.6	1.5	230	19	175
2.94444	5.84064	7.4	4.3	0.3	189.6	1	590
3.58352	8.32579	7.6	4.2	0	224.1	8	583
3.29584	7.32053	8.6	2.6	-0.1	189.2	22	577
4.8752	7.91571	-2.5	3.6	0	64	15	143
4.33073	7.7424	10.6	1.8	-1.6	245	14	177
3.29584	6.91771	-1.6	1.1	0	282	23	51
3.78419	7.78239	5	3.1	-0.4	230	16	545
3.61092	5.18739	5.2	4.4	0.8	206	4	126
2.83321	6.14204	5.3	2.3	1.2	153.1	1	587
3.7612	5.48064	-13.1	1.1	1.3	62.9	5	464
3.58352	5.2933	3.3	2.2	0.5	77.1	2	562
3.17805	5.4848	-0.8	3.5	0	176.8	5	522
3.52636	5.03044	-4	1.5	-0.1	108.2	2	521
4.21951	7.6406	1.7	2.3	-0.3	85	15	167
3.93183	8.29255	6.1	4.2	0.3	23	17	173
2.30259	5.70378	5.8	2.8	0	43	7	189
3.2581	5.4848	5.7	3.3	0.5	228	5	204
2.70805	7.02997	14.9	2.8	-5	255.5	10	594
3.55535	5.31321	-5.7	2.2	0.6	82	5	165
1.94591	6.14419	0.2	3.1	0.1	73	9	56
4.36945	5.14749	-9	1.3	0.4	77	2	88
4.70048	7.66388	16.8	6	-1.1	272	14	205
2.48491	5.8944	2.8	4.7	0	66	2	574
1.60944	7.61085	-0.1	6.6	-0.3	205.2	14	489
3.78419	7.52294	-12.5	0.8	-0.4	232	19	463
1.94591	4.82831	-7.8	3.7	0.1	58.4	4	407
3.09104	7.54908	0.9	1	-0.6	213.1	12	484
3.21888	7.75833	-4.2	4.6	-0.1	78	10	120
2.48491	7.50659	21.9	3.6	-2.5	264.1	19	608
2.19722	6.07764	-10.1	2.8	0	73	1	89
4.93447	7.01571	-9.4	1.2	0	73.8	23	437
4.04305	7.59488	11.2	1.7	-2	236	12	188
4.51086	8.20576	1.8	3.2	0.2	216.6	8	551
1.94591	4.59512	0.5	5.5	0.1	354	4	171
3.09104	8.23297	-2.2	1.6	-0.3	211.7	16	501
4.60517	8.31532	-0.1	5.2	-0.8	79	8	555
3.63759	7.57096	8.4	5.4	-1.8	240	11	163
3.46574	7.61036	0.9	3	-0.7	340	12	142
3.8712	8.21528	-2.9	1.4	-0.2	113.4	8	521
5.15329	8.19146	2.3	2.5	0.6	16	17	44
3.04452	7.67322	-1.4	4.4	-0.1	38.1	14	410
3.49651	7.78655	0.4	1.5	-0.1	110	13	124
2.56495	4.69135	-11.3	2.5	1.2	82	5	87
3.85015	7.629	0.1	3.9	-0.2	70.7	14	506
2.48491	5.49717	-5	4	-0.1	75.4	5	440
2.07944	6.57368	1.6	2	1.2	212.7	6	472
2.99573	7.90618	-2.8	2.3	-0.1	205	20	511
1.38629	6.55251	-3.5	3.9	-0.1	46.3	24	409
3.17805	8.22013	2	3.5	-0.2	82	8	64
2.19722	5.42935	2.4	3.6	0.1	125	5	128
3.55535	7.89096	7.1	3.4	-0.3	82.5	19	571
3.8712	8.02453	-2.7	1.4	1.6	66	9	73
3.4012	7.14283	-1.3	1.2	0.6	66	21	113
3.04452	7.97039	5.5	3.9	-0.5	231	14	131
4.34381	6.65801	5.5	1.1	0.9	138	24	199
2.3979	7.10003	-4	5.8	-0.4	78.4	11	399
2.63906	7.65681	-0.2	2.4	0	41	19	157
2.56495	4.70953	-2.8	1.8	1.4	198.9	3	537
3.3322	5.60212	3.8	3.9	-0.2	85	5	187
2.56495	7.85127	0.2	2.8	0.1	78	17	112
3.68888	7.89655	12.8	6.8	-0.6	227.7	15	583
2.3979	7.20638	-0.8	1.6	1.7	192.6	22	469
2.3979	4.89035	-10.8	1.5	0.2	57	3	460
4.68213	7.56735	-10.2	0.6	2.4	110.8	10	465
3.04452	7.61135	0.8	3.1	-0.1	65.6	19	429
3.04452	6.66823	4.1	1.4	0.2	139.8	24	572
2.19722	5.0689	4.3	4.9	0.1	82	2	212
3.17805	7.46107	-2.8	1.4	-0.1	243	20	102
4.48864	7.68018	-0.4	0.8	2.6	147	21	49
2.30259	7.80344	2.4	3.9	0.2	14.3	20	574
3.29584	8.26256	3.4	0.9	0.3	228	16	109
3.17805	7.6695	12.1	2.8	-3.2	256	13	203
4.06044	5.33272	-2.5	2	1.3	80.7	3	532
4.15888	6.30992	-4.5	2	0.3	90	24	100
3.09104	6.67456	2.2	7.1	0.1	37.9	6	557
4.41884	8.09316	-4.7	1.4	1.2	276.8	18	445
2.89037	6.56667	0.1	2.1	-0.2	247.4	6	543
1.09861	5.83481	-5.8	7.7	0.1	47	7	90
3.43399	7.794	3.3	4.3	0.8	217	17	105
3.52636	7.76089	2	1.7	1.1	234	15	121
3.13549	7.67276	1.3	4.2	0.2	169	10	61
2.19722	7.979	1.4	5	-0.1	40.7	9	480
3.13549	7.78406	6.1	1.9	0.4	171	21	210
2.07944	5.95842	-3.1	4.2	-0.1	52.5	2	426
3.63759	4.54329	-11.5	1.7	3.7	90.4	4	465
3.73767	5.62762	-6.6	1	-0.1	200	2	445
2.48491	5.66643	-3.8	2.1	0.6	73	3	77
1.94591	7.54539	6.5	9.4	-0.9	250	11	160
1.94591	6.23832	-0.4	3.3	0.3	215.1	24	470
2.77259	4.56435	-6.3	2	2.3	223	3	148
2.70805	6.58203	2.2	1.8	0.1	64.2	6	549
1.79176	5.31321	-4.9	4.2	0.3	353	2	117
2.30259	5.61677	-1.3	2.8	-0.1	65.2	1	486
4.11087	7.7111	-5.1	0.7	0.3	60	10	99
3.4012	6.2519	0.1	1	0.2	87	24	111
3.68888	7.85516	6.5	5.2	-0.2	69	19	196
4.17439	8.24512	8.6	1.6	-1	258.8	15	530

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	13 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
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Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 13 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107625&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]13 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=107625&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107625&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	13 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Correlations for all pairs of data series (method=pearson)
	PM10	Cars	Temp	Windspeed	Tempdiff	Winddir	hour	day
PM10	1	0.356	0.046	-0.145	-0.072	0.016	0.213	0.046
Cars	0.356	1	0.257	0.187	-0.347	0.009	0.555	-0.003
Temp	0.046	0.257	1	0.214	-0.358	0.321	0.119	0.161
Windspeed	-0.145	0.187	0.214	1	-0.272	-0.092	0.032	0.041
Tempdiff	-0.072	-0.347	-0.358	-0.272	1	-0.042	-0.07	-0.143
Winddir	0.016	0.009	0.321	-0.092	-0.042	1	0.037	0.045
hour	0.213	0.555	0.119	0.032	-0.07	0.037	1	-0.049
day	0.046	-0.003	0.161	0.041	-0.143	0.045	-0.049	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & PM10 & Cars & Temp & Windspeed & Tempdiff & Winddir & hour & day \tabularnewline
PM10 & 1 & 0.356 & 0.046 & -0.145 & -0.072 & 0.016 & 0.213 & 0.046 \tabularnewline
Cars & 0.356 & 1 & 0.257 & 0.187 & -0.347 & 0.009 & 0.555 & -0.003 \tabularnewline
Temp & 0.046 & 0.257 & 1 & 0.214 & -0.358 & 0.321 & 0.119 & 0.161 \tabularnewline
Windspeed & -0.145 & 0.187 & 0.214 & 1 & -0.272 & -0.092 & 0.032 & 0.041 \tabularnewline
Tempdiff & -0.072 & -0.347 & -0.358 & -0.272 & 1 & -0.042 & -0.07 & -0.143 \tabularnewline
Winddir & 0.016 & 0.009 & 0.321 & -0.092 & -0.042 & 1 & 0.037 & 0.045 \tabularnewline
hour & 0.213 & 0.555 & 0.119 & 0.032 & -0.07 & 0.037 & 1 & -0.049 \tabularnewline
day & 0.046 & -0.003 & 0.161 & 0.041 & -0.143 & 0.045 & -0.049 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107625&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]PM10[/C][C]Cars[/C][C]Temp[/C][C]Windspeed[/C][C]Tempdiff[/C][C]Winddir[/C][C]hour[/C][C]day[/C][/ROW]
[ROW][C]PM10[/C][C]1[/C][C]0.356[/C][C]0.046[/C][C]-0.145[/C][C]-0.072[/C][C]0.016[/C][C]0.213[/C][C]0.046[/C][/ROW]
[ROW][C]Cars[/C][C]0.356[/C][C]1[/C][C]0.257[/C][C]0.187[/C][C]-0.347[/C][C]0.009[/C][C]0.555[/C][C]-0.003[/C][/ROW]
[ROW][C]Temp[/C][C]0.046[/C][C]0.257[/C][C]1[/C][C]0.214[/C][C]-0.358[/C][C]0.321[/C][C]0.119[/C][C]0.161[/C][/ROW]
[ROW][C]Windspeed[/C][C]-0.145[/C][C]0.187[/C][C]0.214[/C][C]1[/C][C]-0.272[/C][C]-0.092[/C][C]0.032[/C][C]0.041[/C][/ROW]
[ROW][C]Tempdiff[/C][C]-0.072[/C][C]-0.347[/C][C]-0.358[/C][C]-0.272[/C][C]1[/C][C]-0.042[/C][C]-0.07[/C][C]-0.143[/C][/ROW]
[ROW][C]Winddir[/C][C]0.016[/C][C]0.009[/C][C]0.321[/C][C]-0.092[/C][C]-0.042[/C][C]1[/C][C]0.037[/C][C]0.045[/C][/ROW]
[ROW][C]hour[/C][C]0.213[/C][C]0.555[/C][C]0.119[/C][C]0.032[/C][C]-0.07[/C][C]0.037[/C][C]1[/C][C]-0.049[/C][/ROW]
[ROW][C]day[/C][C]0.046[/C][C]-0.003[/C][C]0.161[/C][C]0.041[/C][C]-0.143[/C][C]0.045[/C][C]-0.049[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107625&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107625&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)
	PM10	Cars	Temp	Windspeed	Tempdiff	Winddir	hour	day
PM10	1	0.356	0.046	-0.145	-0.072	0.016	0.213	0.046
Cars	0.356	1	0.257	0.187	-0.347	0.009	0.555	-0.003
Temp	0.046	0.257	1	0.214	-0.358	0.321	0.119	0.161
Windspeed	-0.145	0.187	0.214	1	-0.272	-0.092	0.032	0.041
Tempdiff	-0.072	-0.347	-0.358	-0.272	1	-0.042	-0.07	-0.143
Winddir	0.016	0.009	0.321	-0.092	-0.042	1	0.037	0.045
hour	0.213	0.555	0.119	0.032	-0.07	0.037	1	-0.049
day	0.046	-0.003	0.161	0.041	-0.143	0.045	-0.049	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
PM10;Cars	0.3556	0.35	0.2368
p-value	(0)	(0)	(0)
PM10;Temp	0.0463	0.0667	0.044
p-value	(0.3016)	(0.1367)	(0.1449)
PM10;Windspeed	-0.1452	-0.1919	-0.132
p-value	(0.0011)	(0)	(0)
PM10;Tempdiff	-0.0716	-0.1023	-0.0776
p-value	(0.11)	(0.0221)	(0.0121)
PM10;Winddir	0.0164	0.0716	0.0519
p-value	(0.7138)	(0.1096)	(0.0851)
PM10;hour	0.2134	0.2116	0.1462
p-value	(0)	(0)	(0)
PM10;day	0.0458	0.0559	0.0365
p-value	(0.3065)	(0.2119)	(0.2269)
Cars;Temp	0.2573	0.2529	0.168
p-value	(0)	(0)	(0)
Cars;Windspeed	0.1868	0.1896	0.1253
p-value	(0)	(0)	(0)
Cars;Tempdiff	-0.3467	-0.355	-0.2459
p-value	(0)	(0)	(0)
Cars;Winddir	0.0089	-0.0041	-0.0035
p-value	(0.8424)	(0.9273)	(0.9068)
Cars;hour	0.5551	0.3953	0.2259
p-value	(0)	(0)	(0)
Cars;day	-0.0026	0.0072	0.0047
p-value	(0.9541)	(0.8723)	(0.8748)
Temp;Windspeed	0.2136	0.2058	0.1412
p-value	(0)	(0)	(0)
Temp;Tempdiff	-0.358	-0.244	-0.1691
p-value	(0)	(0)	(0)
Temp;Winddir	0.3211	0.3043	0.204
p-value	(0)	(0)	(0)
Temp;hour	0.1192	0.1125	0.0773
p-value	(0.0076)	(0.0119)	(0.0115)
Temp;day	0.1613	0.2905	0.205
p-value	(3e-04)	(0)	(0)
Windspeed;Tempdiff	-0.2721	-0.3045	-0.2134
p-value	(0)	(0)	(0)
Windspeed;Winddir	-0.0917	-0.1983	-0.1433
p-value	(0.0404)	(0)	(0)
Windspeed;hour	0.0323	0.0059	0.0052
p-value	(0.4715)	(0.8953)	(0.8664)
Windspeed;day	0.0406	0.059	0.0403
p-value	(0.3649)	(0.1881)	(0.1817)
Tempdiff;Winddir	-0.0415	0.0223	0.0132
p-value	(0.3543)	(0.6183)	(0.6666)
Tempdiff;hour	-0.0696	-0.038	-0.0217
p-value	(0.1203)	(0.3959)	(0.4872)
Tempdiff;day	-0.1429	-0.2162	-0.1502
p-value	(0.0014)	(0)	(0)
Winddir;hour	0.0366	0.0418	0.0242
p-value	(0.4143)	(0.3507)	(0.4281)
Winddir;day	0.0449	0.0572	0.0405
p-value	(0.3168)	(0.2018)	(0.1771)
hour;day	-0.0491	-0.0407	-0.0279
p-value	(0.2736)	(0.3639)	(0.3617)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
PM10;Cars & 0.3556 & 0.35 & 0.2368 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PM10;Temp & 0.0463 & 0.0667 & 0.044 \tabularnewline
p-value & (0.3016) & (0.1367) & (0.1449) \tabularnewline
PM10;Windspeed & -0.1452 & -0.1919 & -0.132 \tabularnewline
p-value & (0.0011) & (0) & (0) \tabularnewline
PM10;Tempdiff & -0.0716 & -0.1023 & -0.0776 \tabularnewline
p-value & (0.11) & (0.0221) & (0.0121) \tabularnewline
PM10;Winddir & 0.0164 & 0.0716 & 0.0519 \tabularnewline
p-value & (0.7138) & (0.1096) & (0.0851) \tabularnewline
PM10;hour & 0.2134 & 0.2116 & 0.1462 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PM10;day & 0.0458 & 0.0559 & 0.0365 \tabularnewline
p-value & (0.3065) & (0.2119) & (0.2269) \tabularnewline
Cars;Temp & 0.2573 & 0.2529 & 0.168 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Cars;Windspeed & 0.1868 & 0.1896 & 0.1253 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Cars;Tempdiff & -0.3467 & -0.355 & -0.2459 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Cars;Winddir & 0.0089 & -0.0041 & -0.0035 \tabularnewline
p-value & (0.8424) & (0.9273) & (0.9068) \tabularnewline
Cars;hour & 0.5551 & 0.3953 & 0.2259 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Cars;day & -0.0026 & 0.0072 & 0.0047 \tabularnewline
p-value & (0.9541) & (0.8723) & (0.8748) \tabularnewline
Temp;Windspeed & 0.2136 & 0.2058 & 0.1412 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Temp;Tempdiff & -0.358 & -0.244 & -0.1691 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Temp;Winddir & 0.3211 & 0.3043 & 0.204 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Temp;hour & 0.1192 & 0.1125 & 0.0773 \tabularnewline
p-value & (0.0076) & (0.0119) & (0.0115) \tabularnewline
Temp;day & 0.1613 & 0.2905 & 0.205 \tabularnewline
p-value & (3e-04) & (0) & (0) \tabularnewline
Windspeed;Tempdiff & -0.2721 & -0.3045 & -0.2134 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Windspeed;Winddir & -0.0917 & -0.1983 & -0.1433 \tabularnewline
p-value & (0.0404) & (0) & (0) \tabularnewline
Windspeed;hour & 0.0323 & 0.0059 & 0.0052 \tabularnewline
p-value & (0.4715) & (0.8953) & (0.8664) \tabularnewline
Windspeed;day & 0.0406 & 0.059 & 0.0403 \tabularnewline
p-value & (0.3649) & (0.1881) & (0.1817) \tabularnewline
Tempdiff;Winddir & -0.0415 & 0.0223 & 0.0132 \tabularnewline
p-value & (0.3543) & (0.6183) & (0.6666) \tabularnewline
Tempdiff;hour & -0.0696 & -0.038 & -0.0217 \tabularnewline
p-value & (0.1203) & (0.3959) & (0.4872) \tabularnewline
Tempdiff;day & -0.1429 & -0.2162 & -0.1502 \tabularnewline
p-value & (0.0014) & (0) & (0) \tabularnewline
Winddir;hour & 0.0366 & 0.0418 & 0.0242 \tabularnewline
p-value & (0.4143) & (0.3507) & (0.4281) \tabularnewline
Winddir;day & 0.0449 & 0.0572 & 0.0405 \tabularnewline
p-value & (0.3168) & (0.2018) & (0.1771) \tabularnewline
hour;day & -0.0491 & -0.0407 & -0.0279 \tabularnewline
p-value & (0.2736) & (0.3639) & (0.3617) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107625&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]PM10;Cars[/C][C]0.3556[/C][C]0.35[/C][C]0.2368[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PM10;Temp[/C][C]0.0463[/C][C]0.0667[/C][C]0.044[/C][/ROW]
[ROW][C]p-value[/C][C](0.3016)[/C][C](0.1367)[/C][C](0.1449)[/C][/ROW]
[ROW][C]PM10;Windspeed[/C][C]-0.1452[/C][C]-0.1919[/C][C]-0.132[/C][/ROW]
[ROW][C]p-value[/C][C](0.0011)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PM10;Tempdiff[/C][C]-0.0716[/C][C]-0.1023[/C][C]-0.0776[/C][/ROW]
[ROW][C]p-value[/C][C](0.11)[/C][C](0.0221)[/C][C](0.0121)[/C][/ROW]
[ROW][C]PM10;Winddir[/C][C]0.0164[/C][C]0.0716[/C][C]0.0519[/C][/ROW]
[ROW][C]p-value[/C][C](0.7138)[/C][C](0.1096)[/C][C](0.0851)[/C][/ROW]
[ROW][C]PM10;hour[/C][C]0.2134[/C][C]0.2116[/C][C]0.1462[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PM10;day[/C][C]0.0458[/C][C]0.0559[/C][C]0.0365[/C][/ROW]
[ROW][C]p-value[/C][C](0.3065)[/C][C](0.2119)[/C][C](0.2269)[/C][/ROW]
[ROW][C]Cars;Temp[/C][C]0.2573[/C][C]0.2529[/C][C]0.168[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Cars;Windspeed[/C][C]0.1868[/C][C]0.1896[/C][C]0.1253[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Cars;Tempdiff[/C][C]-0.3467[/C][C]-0.355[/C][C]-0.2459[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Cars;Winddir[/C][C]0.0089[/C][C]-0.0041[/C][C]-0.0035[/C][/ROW]
[ROW][C]p-value[/C][C](0.8424)[/C][C](0.9273)[/C][C](0.9068)[/C][/ROW]
[ROW][C]Cars;hour[/C][C]0.5551[/C][C]0.3953[/C][C]0.2259[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Cars;day[/C][C]-0.0026[/C][C]0.0072[/C][C]0.0047[/C][/ROW]
[ROW][C]p-value[/C][C](0.9541)[/C][C](0.8723)[/C][C](0.8748)[/C][/ROW]
[ROW][C]Temp;Windspeed[/C][C]0.2136[/C][C]0.2058[/C][C]0.1412[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Temp;Tempdiff[/C][C]-0.358[/C][C]-0.244[/C][C]-0.1691[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Temp;Winddir[/C][C]0.3211[/C][C]0.3043[/C][C]0.204[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Temp;hour[/C][C]0.1192[/C][C]0.1125[/C][C]0.0773[/C][/ROW]
[ROW][C]p-value[/C][C](0.0076)[/C][C](0.0119)[/C][C](0.0115)[/C][/ROW]
[ROW][C]Temp;day[/C][C]0.1613[/C][C]0.2905[/C][C]0.205[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Windspeed;Tempdiff[/C][C]-0.2721[/C][C]-0.3045[/C][C]-0.2134[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Windspeed;Winddir[/C][C]-0.0917[/C][C]-0.1983[/C][C]-0.1433[/C][/ROW]
[ROW][C]p-value[/C][C](0.0404)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Windspeed;hour[/C][C]0.0323[/C][C]0.0059[/C][C]0.0052[/C][/ROW]
[ROW][C]p-value[/C][C](0.4715)[/C][C](0.8953)[/C][C](0.8664)[/C][/ROW]
[ROW][C]Windspeed;day[/C][C]0.0406[/C][C]0.059[/C][C]0.0403[/C][/ROW]
[ROW][C]p-value[/C][C](0.3649)[/C][C](0.1881)[/C][C](0.1817)[/C][/ROW]
[ROW][C]Tempdiff;Winddir[/C][C]-0.0415[/C][C]0.0223[/C][C]0.0132[/C][/ROW]
[ROW][C]p-value[/C][C](0.3543)[/C][C](0.6183)[/C][C](0.6666)[/C][/ROW]
[ROW][C]Tempdiff;hour[/C][C]-0.0696[/C][C]-0.038[/C][C]-0.0217[/C][/ROW]
[ROW][C]p-value[/C][C](0.1203)[/C][C](0.3959)[/C][C](0.4872)[/C][/ROW]
[ROW][C]Tempdiff;day[/C][C]-0.1429[/C][C]-0.2162[/C][C]-0.1502[/C][/ROW]
[ROW][C]p-value[/C][C](0.0014)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Winddir;hour[/C][C]0.0366[/C][C]0.0418[/C][C]0.0242[/C][/ROW]
[ROW][C]p-value[/C][C](0.4143)[/C][C](0.3507)[/C][C](0.4281)[/C][/ROW]
[ROW][C]Winddir;day[/C][C]0.0449[/C][C]0.0572[/C][C]0.0405[/C][/ROW]
[ROW][C]p-value[/C][C](0.3168)[/C][C](0.2018)[/C][C](0.1771)[/C][/ROW]
[ROW][C]hour;day[/C][C]-0.0491[/C][C]-0.0407[/C][C]-0.0279[/C][/ROW]
[ROW][C]p-value[/C][C](0.2736)[/C][C](0.3639)[/C][C](0.3617)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107625&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107625&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
PM10;Cars	0.3556	0.35	0.2368
p-value	(0)	(0)	(0)
PM10;Temp	0.0463	0.0667	0.044
p-value	(0.3016)	(0.1367)	(0.1449)
PM10;Windspeed	-0.1452	-0.1919	-0.132
p-value	(0.0011)	(0)	(0)
PM10;Tempdiff	-0.0716	-0.1023	-0.0776
p-value	(0.11)	(0.0221)	(0.0121)
PM10;Winddir	0.0164	0.0716	0.0519
p-value	(0.7138)	(0.1096)	(0.0851)
PM10;hour	0.2134	0.2116	0.1462
p-value	(0)	(0)	(0)
PM10;day	0.0458	0.0559	0.0365
p-value	(0.3065)	(0.2119)	(0.2269)
Cars;Temp	0.2573	0.2529	0.168
p-value	(0)	(0)	(0)
Cars;Windspeed	0.1868	0.1896	0.1253
p-value	(0)	(0)	(0)
Cars;Tempdiff	-0.3467	-0.355	-0.2459
p-value	(0)	(0)	(0)
Cars;Winddir	0.0089	-0.0041	-0.0035
p-value	(0.8424)	(0.9273)	(0.9068)
Cars;hour	0.5551	0.3953	0.2259
p-value	(0)	(0)	(0)
Cars;day	-0.0026	0.0072	0.0047
p-value	(0.9541)	(0.8723)	(0.8748)
Temp;Windspeed	0.2136	0.2058	0.1412
p-value	(0)	(0)	(0)
Temp;Tempdiff	-0.358	-0.244	-0.1691
p-value	(0)	(0)	(0)
Temp;Winddir	0.3211	0.3043	0.204
p-value	(0)	(0)	(0)
Temp;hour	0.1192	0.1125	0.0773
p-value	(0.0076)	(0.0119)	(0.0115)
Temp;day	0.1613	0.2905	0.205
p-value	(3e-04)	(0)	(0)
Windspeed;Tempdiff	-0.2721	-0.3045	-0.2134
p-value	(0)	(0)	(0)
Windspeed;Winddir	-0.0917	-0.1983	-0.1433
p-value	(0.0404)	(0)	(0)
Windspeed;hour	0.0323	0.0059	0.0052
p-value	(0.4715)	(0.8953)	(0.8664)
Windspeed;day	0.0406	0.059	0.0403
p-value	(0.3649)	(0.1881)	(0.1817)
Tempdiff;Winddir	-0.0415	0.0223	0.0132
p-value	(0.3543)	(0.6183)	(0.6666)
Tempdiff;hour	-0.0696	-0.038	-0.0217
p-value	(0.1203)	(0.3959)	(0.4872)
Tempdiff;day	-0.1429	-0.2162	-0.1502
p-value	(0.0014)	(0)	(0)
Winddir;hour	0.0366	0.0418	0.0242
p-value	(0.4143)	(0.3507)	(0.4281)
Winddir;day	0.0449	0.0572	0.0405
p-value	(0.3168)	(0.2018)	(0.1771)
hour;day	-0.0491	-0.0407	-0.0279
p-value	(0.2736)	(0.3639)	(0.3617)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 7 ; par2 = none ; par3 = 2 ; par4 = no ;

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