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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Sat, 18 Dec 2010 17:25:13 +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/18/t1292693088cfy0ilc484gyni4.htm/, Retrieved Tue, 30 Apr 2024 01:53:39 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112117, Retrieved Tue, 30 Apr 2024 01:53:39 +0000

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145

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5140	3111	17153	2,5	766	332	2,4
4749	3995	15579	1,8	294	369	2,4
3635	5245	16755	7,3	235	384	2,4
4305	5588	16585	9,9	462	373	2,1
5805	10681	16572	13,2	919	378	2
4260	10516	16325	17,8	346	426	2
3869	7496	17913	18,8	298	423	2,1
7325	9935	17572	19,3	92	397	2,1
9280	10249	17338	13,9	516	422	2
6222	6271	17087	7,5	843	409	2
3272	3616	15864	8	395	430	2
7598	3724	15554	4	961	412	1,7
1345	2886	16229	3,6	1231	470	1,3
1900	3318	15180	4,8	794	491	1,2
1480	4166	16215	5,9	420	504	1,1
1472	6401	15801	10,4	331	484	1,4
3823	9209	15751	12,3	312	474	1,5
4454	9820	16477	15,5	692	508	1,4
3357	7470	17324	16,7	1221	492	1,1
5393	8207	16919	18,8	1272	452	1,1
8329	9564	16438	15,2	622	457	1
4152	5309	16239	11,3	479	457	1,4
4042	3385	15613	6,3	757	471	1,3
7747	3706	15821	3,2	463	451	1,2
1451	2733	15678	5,3	534	493	1,5
911	3045	14671	2,4	731	514	1,6
406	3449	15876	6,5	498	522	1,8
1387	5542	15563	10,4	629	490	1,5
2150	10072	15711	12,6	542	484	1,3
1577	9418	15583	16,8	519	506	1,6
2642	7516	16405	17,7	1585	501	1,6
4273	7840	16701	16,2	956	462	1,8
8064	10081	16194	15,7	633	465	1,8
3243	4956	16024	13,3	561	454	1,6
1112	3641	14728	6,9	976	464	1,8
2280	3970	14776	4	565	427	2
505	2931	15399	1,5	151	460	1,3
744	3170	14286	2,9	588	473	1,1
1369	3889	15646	3,9	1043	465	1
531	4850	14543	9	398	422	1,2
1041	8037	15673	14,5	902	415	1,2
2076	12370	15171	16,7	180	413	1,3
577	6712	15999	22,3	150	420	1,3
5080	7297	1626	16,4	1805	363	1,4
6584	10613	16123	17,9	86	376	1,1
3761	5184	16144	13,6	1093	380	0,9
294	3506	15005	9,2	925	384	1
5020	3810	14806	6,5	750	346	1,1
1141	2692	15019	7,1	1038	389	1,4
3805	3073	13909	6	679	407	1,5
2127	3713	15211	8	848	393	1,8
2531	4555	14385	13,1	300	346	1,8
3682	7807	15144	14,1	1379	348	1,8
3263	10869	14659	17,5	901	353	1,7
2798	9682	15989	17	1606	364	1,5
5936	7704	16262	17,1	422	305	1,1
10568	9826	16021	13,8	968	307	1,3
5296	5456	15662	10,1	319	312	1,6
1870	3677	14531	6,9	583	312	1,9
4390	3431	14544	2,4	765	286	1,9
3707	2765	15071	6,5	963	324	2
5201	3483	14236	5,1	392	336	2,2
3748	3445	14771	5,9	919	327	2,2
5282	6081	14804	8,9	339	302	2
5349	8767	15597	15,7	327	299	2,3
6249	9407	15418	16,5	397	311	2,6
5517	6551	16903	18,1	1268	315	3,2
8640	12480	16350	17,4	1137	264	3,2
15767	9530	16393	13,6	1000	278	3,1
8850	5960	15685	10,1	915	278	2,8
5582	3252	14556	6,9	905	287	2,3
6496	3717	14850	2,4	243	279	1,9
3255	2642	15391	0,8	537	324	1,9
6189	2989	13704	3,3	551	354	2
6452	3607	15409	6,3	482	354	2
5099	5366	15098	12,2	199	360	1,8
6833	8898	15254	13,9	650	363	1,6
7046	9435	15522	15,6	533	385	1,4
7739	7328	16669	18,1	1071	412	0,2
10142	8594	16238	18,5	469	370	0,3
16054	11349	16246	15	335	389	0,4
7721	5797	15424	10,7	598	395	0,7
6182	3621	14952	9,5	1200	417	1
6490	3851	15008	2,2	844	404	1,1

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112117&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112117&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112117&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Correlations for all pairs of data series (method=pearson)
	Bevolkingsgroei	Huwelijken	Geborenen	Temperatuur	Neerslag	Werkloosheid	Inflatie
Bevolkingsgroei	1	0.434	0.127	0.261	0.004	-0.452	0.109
Huwelijken	0.434	1	0.195	0.83	-0.015	-0.051	0.006
Geborenen	0.127	0.195	1	0.152	-0.261	0.147	0.061
Temperatuur	0.261	0.83	0.152	1	0.091	-0.019	-0.077
Neerslag	0.004	-0.015	-0.261	0.091	1	-0.024	-0.016
Werkloosheid	-0.452	-0.051	0.147	-0.019	-0.024	1	-0.472
Inflatie	0.109	0.006	0.061	-0.077	-0.016	-0.472	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Bevolkingsgroei & Huwelijken & Geborenen & Temperatuur & Neerslag & Werkloosheid & Inflatie \tabularnewline
Bevolkingsgroei & 1 & 0.434 & 0.127 & 0.261 & 0.004 & -0.452 & 0.109 \tabularnewline
Huwelijken & 0.434 & 1 & 0.195 & 0.83 & -0.015 & -0.051 & 0.006 \tabularnewline
Geborenen & 0.127 & 0.195 & 1 & 0.152 & -0.261 & 0.147 & 0.061 \tabularnewline
Temperatuur & 0.261 & 0.83 & 0.152 & 1 & 0.091 & -0.019 & -0.077 \tabularnewline
Neerslag & 0.004 & -0.015 & -0.261 & 0.091 & 1 & -0.024 & -0.016 \tabularnewline
Werkloosheid & -0.452 & -0.051 & 0.147 & -0.019 & -0.024 & 1 & -0.472 \tabularnewline
Inflatie & 0.109 & 0.006 & 0.061 & -0.077 & -0.016 & -0.472 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112117&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Bevolkingsgroei[/C][C]Huwelijken[/C][C]Geborenen[/C][C]Temperatuur[/C][C]Neerslag[/C][C]Werkloosheid[/C][C]Inflatie[/C][/ROW]
[ROW][C]Bevolkingsgroei[/C][C]1[/C][C]0.434[/C][C]0.127[/C][C]0.261[/C][C]0.004[/C][C]-0.452[/C][C]0.109[/C][/ROW]
[ROW][C]Huwelijken[/C][C]0.434[/C][C]1[/C][C]0.195[/C][C]0.83[/C][C]-0.015[/C][C]-0.051[/C][C]0.006[/C][/ROW]
[ROW][C]Geborenen[/C][C]0.127[/C][C]0.195[/C][C]1[/C][C]0.152[/C][C]-0.261[/C][C]0.147[/C][C]0.061[/C][/ROW]
[ROW][C]Temperatuur[/C][C]0.261[/C][C]0.83[/C][C]0.152[/C][C]1[/C][C]0.091[/C][C]-0.019[/C][C]-0.077[/C][/ROW]
[ROW][C]Neerslag[/C][C]0.004[/C][C]-0.015[/C][C]-0.261[/C][C]0.091[/C][C]1[/C][C]-0.024[/C][C]-0.016[/C][/ROW]
[ROW][C]Werkloosheid[/C][C]-0.452[/C][C]-0.051[/C][C]0.147[/C][C]-0.019[/C][C]-0.024[/C][C]1[/C][C]-0.472[/C][/ROW]
[ROW][C]Inflatie[/C][C]0.109[/C][C]0.006[/C][C]0.061[/C][C]-0.077[/C][C]-0.016[/C][C]-0.472[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112117&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112117&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)
	Bevolkingsgroei	Huwelijken	Geborenen	Temperatuur	Neerslag	Werkloosheid	Inflatie
Bevolkingsgroei	1	0.434	0.127	0.261	0.004	-0.452	0.109
Huwelijken	0.434	1	0.195	0.83	-0.015	-0.051	0.006
Geborenen	0.127	0.195	1	0.152	-0.261	0.147	0.061
Temperatuur	0.261	0.83	0.152	1	0.091	-0.019	-0.077
Neerslag	0.004	-0.015	-0.261	0.091	1	-0.024	-0.016
Werkloosheid	-0.452	-0.051	0.147	-0.019	-0.024	1	-0.472
Inflatie	0.109	0.006	0.061	-0.077	-0.016	-0.472	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Bevolkingsgroei;Huwelijken	0.4338	0.4177	0.2943
p-value	(0)	(1e-04)	(1e-04)
Bevolkingsgroei;Geborenen	0.127	0.2969	0.1974
p-value	(0.2496)	(0.0063)	(0.0079)
Bevolkingsgroei;Temperatuur	0.2612	0.2605	0.1752
p-value	(0.0164)	(0.0167)	(0.0186)
Bevolkingsgroei;Neerslag	0.0041	0.002	0.0014
p-value	(0.9706)	(0.9853)	(0.9846)
Bevolkingsgroei;Werkloosheid	-0.4522	-0.4795	-0.3164
p-value	(0)	(0)	(0)
Bevolkingsgroei;Inflatie	0.1086	0.1592	0.1375
p-value	(0.3254)	(0.1479)	(0.071)
Huwelijken;Geborenen	0.1954	0.5005	0.3442
p-value	(0.0748)	(0)	(0)
Huwelijken;Temperatuur	0.8302	0.8269	0.5936
p-value	(0)	(0)	(0)
Huwelijken;Neerslag	-0.015	-0.084	-0.0559
p-value	(0.8921)	(0.4475)	(0.4513)
Huwelijken;Werkloosheid	-0.0507	-0.0396	-0.0227
p-value	(0.6473)	(0.7208)	(0.7602)
Huwelijken;Inflatie	0.0058	-0.0323	-0.0313
p-value	(0.9582)	(0.7707)	(0.6813)
Geborenen;Temperatuur	0.1522	0.5021	0.353
p-value	(0.1669)	(0)	(0)
Geborenen;Neerslag	-0.2613	0.0096	0.0055
p-value	(0.0164)	(0.9309)	(0.9415)
Geborenen;Werkloosheid	0.1467	0.2296	0.1474
p-value	(0.183)	(0.0357)	(0.0475)
Geborenen;Inflatie	0.0611	0.0139	-0.0077
p-value	(0.5811)	(0.8998)	(0.9197)
Temperatuur;Neerslag	0.0907	0.0299	0.0213
p-value	(0.4119)	(0.7874)	(0.7749)
Temperatuur;Werkloosheid	-0.0187	-0.0213	-0.0138
p-value	(0.8663)	(0.8475)	(0.8529)
Temperatuur;Inflatie	-0.0766	-0.0904	-0.0645
p-value	(0.4885)	(0.4137)	(0.3982)
Neerslag;Werkloosheid	-0.0238	-0.0143	-0.0063
p-value	(0.8296)	(0.8972)	(0.9323)
Neerslag;Inflatie	-0.0159	-0.1178	-0.0823
p-value	(0.8858)	(0.2857)	(0.2796)
Werkloosheid;Inflatie	-0.4719	-0.4488	-0.3056
p-value	(0)	(0)	(1e-04)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Bevolkingsgroei;Huwelijken & 0.4338 & 0.4177 & 0.2943 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
Bevolkingsgroei;Geborenen & 0.127 & 0.2969 & 0.1974 \tabularnewline
p-value & (0.2496) & (0.0063) & (0.0079) \tabularnewline
Bevolkingsgroei;Temperatuur & 0.2612 & 0.2605 & 0.1752 \tabularnewline
p-value & (0.0164) & (0.0167) & (0.0186) \tabularnewline
Bevolkingsgroei;Neerslag & 0.0041 & 0.002 & 0.0014 \tabularnewline
p-value & (0.9706) & (0.9853) & (0.9846) \tabularnewline
Bevolkingsgroei;Werkloosheid & -0.4522 & -0.4795 & -0.3164 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Bevolkingsgroei;Inflatie & 0.1086 & 0.1592 & 0.1375 \tabularnewline
p-value & (0.3254) & (0.1479) & (0.071) \tabularnewline
Huwelijken;Geborenen & 0.1954 & 0.5005 & 0.3442 \tabularnewline
p-value & (0.0748) & (0) & (0) \tabularnewline
Huwelijken;Temperatuur & 0.8302 & 0.8269 & 0.5936 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Huwelijken;Neerslag & -0.015 & -0.084 & -0.0559 \tabularnewline
p-value & (0.8921) & (0.4475) & (0.4513) \tabularnewline
Huwelijken;Werkloosheid & -0.0507 & -0.0396 & -0.0227 \tabularnewline
p-value & (0.6473) & (0.7208) & (0.7602) \tabularnewline
Huwelijken;Inflatie & 0.0058 & -0.0323 & -0.0313 \tabularnewline
p-value & (0.9582) & (0.7707) & (0.6813) \tabularnewline
Geborenen;Temperatuur & 0.1522 & 0.5021 & 0.353 \tabularnewline
p-value & (0.1669) & (0) & (0) \tabularnewline
Geborenen;Neerslag & -0.2613 & 0.0096 & 0.0055 \tabularnewline
p-value & (0.0164) & (0.9309) & (0.9415) \tabularnewline
Geborenen;Werkloosheid & 0.1467 & 0.2296 & 0.1474 \tabularnewline
p-value & (0.183) & (0.0357) & (0.0475) \tabularnewline
Geborenen;Inflatie & 0.0611 & 0.0139 & -0.0077 \tabularnewline
p-value & (0.5811) & (0.8998) & (0.9197) \tabularnewline
Temperatuur;Neerslag & 0.0907 & 0.0299 & 0.0213 \tabularnewline
p-value & (0.4119) & (0.7874) & (0.7749) \tabularnewline
Temperatuur;Werkloosheid & -0.0187 & -0.0213 & -0.0138 \tabularnewline
p-value & (0.8663) & (0.8475) & (0.8529) \tabularnewline
Temperatuur;Inflatie & -0.0766 & -0.0904 & -0.0645 \tabularnewline
p-value & (0.4885) & (0.4137) & (0.3982) \tabularnewline
Neerslag;Werkloosheid & -0.0238 & -0.0143 & -0.0063 \tabularnewline
p-value & (0.8296) & (0.8972) & (0.9323) \tabularnewline
Neerslag;Inflatie & -0.0159 & -0.1178 & -0.0823 \tabularnewline
p-value & (0.8858) & (0.2857) & (0.2796) \tabularnewline
Werkloosheid;Inflatie & -0.4719 & -0.4488 & -0.3056 \tabularnewline
p-value & (0) & (0) & (1e-04) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112117&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]Bevolkingsgroei;Huwelijken[/C][C]0.4338[/C][C]0.4177[/C][C]0.2943[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Bevolkingsgroei;Geborenen[/C][C]0.127[/C][C]0.2969[/C][C]0.1974[/C][/ROW]
[ROW][C]p-value[/C][C](0.2496)[/C][C](0.0063)[/C][C](0.0079)[/C][/ROW]
[ROW][C]Bevolkingsgroei;Temperatuur[/C][C]0.2612[/C][C]0.2605[/C][C]0.1752[/C][/ROW]
[ROW][C]p-value[/C][C](0.0164)[/C][C](0.0167)[/C][C](0.0186)[/C][/ROW]
[ROW][C]Bevolkingsgroei;Neerslag[/C][C]0.0041[/C][C]0.002[/C][C]0.0014[/C][/ROW]
[ROW][C]p-value[/C][C](0.9706)[/C][C](0.9853)[/C][C](0.9846)[/C][/ROW]
[ROW][C]Bevolkingsgroei;Werkloosheid[/C][C]-0.4522[/C][C]-0.4795[/C][C]-0.3164[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Bevolkingsgroei;Inflatie[/C][C]0.1086[/C][C]0.1592[/C][C]0.1375[/C][/ROW]
[ROW][C]p-value[/C][C](0.3254)[/C][C](0.1479)[/C][C](0.071)[/C][/ROW]
[ROW][C]Huwelijken;Geborenen[/C][C]0.1954[/C][C]0.5005[/C][C]0.3442[/C][/ROW]
[ROW][C]p-value[/C][C](0.0748)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Huwelijken;Temperatuur[/C][C]0.8302[/C][C]0.8269[/C][C]0.5936[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Huwelijken;Neerslag[/C][C]-0.015[/C][C]-0.084[/C][C]-0.0559[/C][/ROW]
[ROW][C]p-value[/C][C](0.8921)[/C][C](0.4475)[/C][C](0.4513)[/C][/ROW]
[ROW][C]Huwelijken;Werkloosheid[/C][C]-0.0507[/C][C]-0.0396[/C][C]-0.0227[/C][/ROW]
[ROW][C]p-value[/C][C](0.6473)[/C][C](0.7208)[/C][C](0.7602)[/C][/ROW]
[ROW][C]Huwelijken;Inflatie[/C][C]0.0058[/C][C]-0.0323[/C][C]-0.0313[/C][/ROW]
[ROW][C]p-value[/C][C](0.9582)[/C][C](0.7707)[/C][C](0.6813)[/C][/ROW]
[ROW][C]Geborenen;Temperatuur[/C][C]0.1522[/C][C]0.5021[/C][C]0.353[/C][/ROW]
[ROW][C]p-value[/C][C](0.1669)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Geborenen;Neerslag[/C][C]-0.2613[/C][C]0.0096[/C][C]0.0055[/C][/ROW]
[ROW][C]p-value[/C][C](0.0164)[/C][C](0.9309)[/C][C](0.9415)[/C][/ROW]
[ROW][C]Geborenen;Werkloosheid[/C][C]0.1467[/C][C]0.2296[/C][C]0.1474[/C][/ROW]
[ROW][C]p-value[/C][C](0.183)[/C][C](0.0357)[/C][C](0.0475)[/C][/ROW]
[ROW][C]Geborenen;Inflatie[/C][C]0.0611[/C][C]0.0139[/C][C]-0.0077[/C][/ROW]
[ROW][C]p-value[/C][C](0.5811)[/C][C](0.8998)[/C][C](0.9197)[/C][/ROW]
[ROW][C]Temperatuur;Neerslag[/C][C]0.0907[/C][C]0.0299[/C][C]0.0213[/C][/ROW]
[ROW][C]p-value[/C][C](0.4119)[/C][C](0.7874)[/C][C](0.7749)[/C][/ROW]
[ROW][C]Temperatuur;Werkloosheid[/C][C]-0.0187[/C][C]-0.0213[/C][C]-0.0138[/C][/ROW]
[ROW][C]p-value[/C][C](0.8663)[/C][C](0.8475)[/C][C](0.8529)[/C][/ROW]
[ROW][C]Temperatuur;Inflatie[/C][C]-0.0766[/C][C]-0.0904[/C][C]-0.0645[/C][/ROW]
[ROW][C]p-value[/C][C](0.4885)[/C][C](0.4137)[/C][C](0.3982)[/C][/ROW]
[ROW][C]Neerslag;Werkloosheid[/C][C]-0.0238[/C][C]-0.0143[/C][C]-0.0063[/C][/ROW]
[ROW][C]p-value[/C][C](0.8296)[/C][C](0.8972)[/C][C](0.9323)[/C][/ROW]
[ROW][C]Neerslag;Inflatie[/C][C]-0.0159[/C][C]-0.1178[/C][C]-0.0823[/C][/ROW]
[ROW][C]p-value[/C][C](0.8858)[/C][C](0.2857)[/C][C](0.2796)[/C][/ROW]
[ROW][C]Werkloosheid;Inflatie[/C][C]-0.4719[/C][C]-0.4488[/C][C]-0.3056[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112117&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112117&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
Bevolkingsgroei;Huwelijken	0.4338	0.4177	0.2943
p-value	(0)	(1e-04)	(1e-04)
Bevolkingsgroei;Geborenen	0.127	0.2969	0.1974
p-value	(0.2496)	(0.0063)	(0.0079)
Bevolkingsgroei;Temperatuur	0.2612	0.2605	0.1752
p-value	(0.0164)	(0.0167)	(0.0186)
Bevolkingsgroei;Neerslag	0.0041	0.002	0.0014
p-value	(0.9706)	(0.9853)	(0.9846)
Bevolkingsgroei;Werkloosheid	-0.4522	-0.4795	-0.3164
p-value	(0)	(0)	(0)
Bevolkingsgroei;Inflatie	0.1086	0.1592	0.1375
p-value	(0.3254)	(0.1479)	(0.071)
Huwelijken;Geborenen	0.1954	0.5005	0.3442
p-value	(0.0748)	(0)	(0)
Huwelijken;Temperatuur	0.8302	0.8269	0.5936
p-value	(0)	(0)	(0)
Huwelijken;Neerslag	-0.015	-0.084	-0.0559
p-value	(0.8921)	(0.4475)	(0.4513)
Huwelijken;Werkloosheid	-0.0507	-0.0396	-0.0227
p-value	(0.6473)	(0.7208)	(0.7602)
Huwelijken;Inflatie	0.0058	-0.0323	-0.0313
p-value	(0.9582)	(0.7707)	(0.6813)
Geborenen;Temperatuur	0.1522	0.5021	0.353
p-value	(0.1669)	(0)	(0)
Geborenen;Neerslag	-0.2613	0.0096	0.0055
p-value	(0.0164)	(0.9309)	(0.9415)
Geborenen;Werkloosheid	0.1467	0.2296	0.1474
p-value	(0.183)	(0.0357)	(0.0475)
Geborenen;Inflatie	0.0611	0.0139	-0.0077
p-value	(0.5811)	(0.8998)	(0.9197)
Temperatuur;Neerslag	0.0907	0.0299	0.0213
p-value	(0.4119)	(0.7874)	(0.7749)
Temperatuur;Werkloosheid	-0.0187	-0.0213	-0.0138
p-value	(0.8663)	(0.8475)	(0.8529)
Temperatuur;Inflatie	-0.0766	-0.0904	-0.0645
p-value	(0.4885)	(0.4137)	(0.3982)
Neerslag;Werkloosheid	-0.0238	-0.0143	-0.0063
p-value	(0.8296)	(0.8972)	(0.9323)
Neerslag;Inflatie	-0.0159	-0.1178	-0.0823
p-value	(0.8858)	(0.2857)	(0.2796)
Werkloosheid;Inflatie	-0.4719	-0.4488	-0.3056
p-value	(0)	(0)	(1e-04)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = pearson ;

Parameters (R input):

par1 = pearson ;

R code (references can be found in the software module):

panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code