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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 29 Dec 2010 04:45:16 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/29/t1293598090kgm7d4rvhdfm0dk.htm/, Retrieved Fri, 03 May 2024 08:51:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116596, Retrieved Fri, 03 May 2024 08:51:24 +0000
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-       [Kendall tau Correlation Matrix] [paper Kendall] [2010-12-29 04:45:16] [4c854bb223ec27caaa7bcfc5e77b0dbd] [Current]
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Dataseries X:
5.2	67.7	7	0	32.4	0	5
7.9	111.5	1	1	94.7	0	6.3
8.7	29.4	1	3	133.4	2	3.9
8.9	62.3	4	2	196.5	2	3.8
15.3	19	0	0	307.3	19	3
15.4	95.5	0	0	128.7	11	2.8
18.1	30.4	0	0	279.9	21	3.3
19.7	44.3	0	0	230.2	25	2.1
13	56.5	0	0	92.2	3	2.9
12.6	80	0	0	121.3	5	4
6.2	66.1	3	0	73.4	0	3.4
3.5	96.7	14	5	24	0	4
3.4	83.5	13	1	93.8	0	4.6
0	37.7	21	11	76.2	0	3.1
9.5	24.6	1	0	113.3	0	3.6
8.9	69.4	3	0	194.2	4	3.9
10.4	26.9	0	0	155.3	3	2.9
13.2	100.3	0	0	114	3	3.3
18.9	110.6	0	0	193	24	2.7
19	15.7	0	0	250.7	30	2.3
16.3	55.7	0	0	173	16	2.5
10.6	24.4	0	0	112.9	2	2.6
5.8	174.6	4	0	63.2	0	3.9
3.6	70.4	13	1	51.3	0	3.1
2.6	30.6	14	0	45.7	0	3.2
5	46.1	9	1	80.6	0	3.2
7.3	92.8	1	1	78.8	0	3.9
9.2	56.5	1	0	124.9	0	3.5
15.7	49.3	0	0	252.5	17	3.3
16.8	116.7	0	0	188.3	20	2.9
18.4	67.6	0	0	192.6	25	2.7
18.1	180.5	0	0	165	22	3.2
14.6	31.3	0	0	139.1	8	3.2
7.8	81.3	2	0	106.1	0	3.5
7.6	87.9	3	0	46.8	0	4.2
3.8	76	6	0	67.5	0	3.6
5.6	84.9	7	1	51.8	0	4.6
2.2	26.9	16	5	44.4	0	2.6
6.8	4.2	10	1	169.2	0	3.4
11.8	32	0	0	145.3	7	3.5
14.9	73.7	0	0	200	15	3.4
16.7	66	0	0	194.1	17	3
16.7	107.6	0	0	167.3	15	3.2
15.9	40.1	0	0	167.8	18	2.7
13.6	94	0	0	105.9	5	3.1
9.2	84	0	0	89.3	0	3.5
2.8	73.2	14	3	87.1	0	3.2
2.5	170.1	5	6	15.4	0	4.7
4.8	99.1	6	1	38.6	0	4.5
2.8	39.3	11	5	52.2	0	3.2
7.8	95.3	3	0	104.5	0	4.5
9	52.8	0	3	146.9	3	3.9
12.9	69.4	0	0	152.9	6	2.9
16.4	55	0	0	235.8	18	3.3
21.8	68.6	0	0	268.6	28	2.6
17.8	81.2	0	0	203.1	18	2.8
13.5	118.7	0	0	98.1	8	3.2
10	60.6	0	0	128.8	1	3.3
10.4	33.6	0	0	62.1	1	2.9
5.5	121.5	6	4	50.2	0	4.3
4	143.6	11	5	56.2	0	4.8
6.8	100.8	3	0	61.7	0	4.6
5.7	76.9	8	13	155.3	0	4.2
9.1	51.3	0	1	85.2	1	3.2
13.6	60.4	0	0	224.3	12	2.8
15	75.1	0	0	161.9	10	2.9
20.9	50.4	0	0	243.4	30	2.7
20.4	21.6	0	0	271.9	26	3
14	61.8	0	0	16.8	4	3.2
13.7	6	0	0	135.8	6	3
7.1	41.4	8	1	78.7	1	3.2
0.8	74.1	22	6	41.8	0	3.1
2.1	15	18	1	81.8	0	3.5
1.3	71.8	16	12	43.4	0	3.9
3.9	26.1	16	7	131.4	0	3.2
10.7	6	4	0	209.3	5	3.1
11.1	73.4	0	0	96.8	3	3.4
16.4	22.9	0	0	239.8	15	2.7
17.1	56	0	0	211.6	19	3.1
17.3	231.2	0	0	188.1	22	2.9
12.9	47	0	0	147.8	1	3
10.9	45.2	0	0	126.1	1	3
5.3	116.7	10	6	49.8	0	3.7
0.7	33.3	18	4	45.8	0	3.4
-0.2	2.6	20	4	74.2	0	2.9
6.5	96.2	2	0	42.4	0	4.7
8.6	24.3	1	0	108.8	0	3.1
8.5	24.4	1	0	200.1	0	3.3
13.3	90.8	0	0	229	8	3.3
16.2	91.4	0	0	181.8	14	3.1
17.5	74.4	0	0	197.5	22	2.7
21.2	52.6	0	0	254	28	2.6
14.8	16.5	0	0	195.7	14	2.6
10.3	89.1	3	0	146	4	3.3
7.3	63.5	4	0	46.5	0	3.7
5.1	74.9	5	1	29.7	0	4.2
4.4	73.3	7	2	56.3	0	4.6
6.2	14.5	5	3	103.8	0	3
7.7	84	5	2	71.4	2	3.9
9.3	107.2	1	1	93	2	3.5
15.6	35.5	0	0	210.1	14	3
16.3	87.7	0	0	167.6	15	3.3
16.6	43.8	0	0	145.5	16	3.3
17.4	64.7	0	0	212.5	19	2.7
15.3	139.1	0	0	107.5	12	3.4
9.7	128.7	0	0	48.3	0	4
3.7	87.8	10	1	79.5	0	3.1
4.6	81.7	8	7	30.6	0	3.8
5.4	123.9	7	4	59.6	0	4.3
3.1	76.3	12	13	63	0	3.7
7.9	71.9	2	0	119.1	0	3.5
10.1	71	0	3	142.3	1	3.4
15	40	0	0	213.2	11	3.1
15.6	83.1	0	0	205.6	14	3.1
19.7	34.5	0	0	257	27	3.1
18.1	91.2	0	0	177	21	2.7
17.7	42.5	0	0	162.9	20	3.1
10.7	47	0	0	120.1	1	3.7
6.2	32.7	7	3	62.3	0	3.6
4.2	171.9	7	7	26.6	0	4.4
4	45.7	10	1	54.6	0	3.5
5.9	81.9	8	3	89.4	0	4
7.1	56.8	3	4	72.6	0	3.5
10.5	65.1	0	0	155.1	3	3.5
15.1	86.2	0	0	158.9	11	3
16.8	35.1	0	0	235	18	3
15.3	133.8	0	0	93.1	13	2.8
18.4	34.5	0	0	227.6	30	2.4
16.1	69.9	0	0	127.3	13	2.9
11.3	98.3	0	0	87.3	1	4.1
7.9	86.7	0	0	49.5	0	4.7
5.6	58.2	8	5	41.9	0	4.2
3.4	83.6	12	2	68.6	0	4
4.8	83.5	9	6	59.4	0	3.7
6.5	112.3	5	4	46.8	0	3.5
8.5	134.3	2	1	95.4	1	3.6
15.1	30	0	0	259.7	13	3.5
15.7	44.5	0	0	201.4	15	2.9
18.7	120.1	0	0	188.8	22	2.9
19.2	43.4	0	0	220.8	28	2.9
12.9	199.4	0	0	68.6	1	3
14.4	68.1	0	0	113.7	4	3.6
6.2	99.8	6	0	70.9	0	2.7
3.3	69.5	18	6	61.3	0	3.3
4.6	71.3	9	0	63.5	0	3.9
7.2	167.8	4	1	76.4	0	5.3
7.8	66.3	2	2	124.3	0	3.6
9.9	41.9	0	0	193.1	4	3.5
13.6	57.2	0	0	178.8	7	3.3
17.1	72.3	0	0	200.2	18	2.9
17.8	96.5	0	0	169.5	21	3.1
18.6	172.1	0	0	152.1	23	2.3
14.7	25.8	0	0	135.7	10	2.7
10.5	105.1	0	0	91	1	3.5
8.6	92.2	0	0	57.9	0	3.4
4.4	109.3	11	1	37.9	0	3.8
2.3	101.7	13	5	54.4	0	4
2.8	29.1	18	4	145.7	0	3.3
8.8	34.6	0	0	185.7	1	3.2
10.7	46.7	0	4	211.7	8	3.6
13.9	82	0	0	187.3	7	3
19.3	34.4	0	0	258.3	29	2.8
19.5	72.7	0	0	235	28	2.7
20.4	44.4	0	0	244.3	27	2.5
15.3	31	0	0	208.3	15	2.4
7.9	64	4	1	127.1	0	3.3
8.3	65.4	0	0	63.2	0	3.5
4.5	64.5	8	4	66.8	0	3.5
3.2	153.8	11	6	32.9	0	4.1
5	48.8	11	7	56.3	0	3.7
6.6	25	9	2	136.7	2	3.5
11.1	37.2	0	0	142.8	5	3.4
12.8	40.8	0	0	216.3	6	2.7
16.3	78.4	0	0	200	15	3
17.4	112.4	0	0	204.8	20	2.8
18.9	122.7	0	0	159.3	23	3
15.8	82.9	0	0	173.5	12	3.4
11.7	67.6	0	0	101.6	2	3.6
6.4	78.4	5	1	60.3	0	2.8
2.9	65.7	12	1	51.9	0	2.7
4.7	44.9	10	6	75.3	0	4
2.4	80.9	15	13	69.8	0	3.4
7.2	38.8	7	8	83.5	1	3.2
10.7	46.1	0	0	120.1	1	3
13.4	60	0	0	190.3	9	3.2
18.5	53.9	0	0	246.8	20	2.8
18.3	123.5	0	0	175.4	23	2.8
16.8	69.5	0	0	185	21	2.6
16.6	74.2	0	0	189.6	19	2.6
14.1	47	0	0	140.3	9	3.4
6.1	60.9	5	5	60.4	0	3.3
3.5	51.4	10	7	26.7	0	3.3
1.7	18.7	20	4	97.4	0	3.2
2.3	83.1	11	10	29.9	0	3.4
4.5	65.3	19	7	114.1	0	3.6
9.3	46	2	0	141.3	2	3.2
14.2	115.6	0	0	135.6	10	3.7
17.3	25.8	0	0	246.2	18	2.5
23	48.1	0	0	308.7	31	2.8
16.3	202.3	0	0	94.5	17	2.9
18.4	9.2	0	0	160.5	27	2.9
14.2	56.3	0	0	108.3	5	3.5
9.1	71.6	0	0	79.3	0	3.9
5.9	93	8	1	40	0	4
7.2	82.3	5	2	34.6	0	4.6
6.8	95.4	3	3	48.7	0	3.6
8	61.9	1	3	144.6	0	3.7
14.3	0	0	0	284.2	13	2.8
14.6	103.4	0	0	164.2	11	3.5
17.5	99.2	0	0	130.3	22	3.1
17.2	96.7	0	0	178.3	18	3.4
17.2	56.9	0	0	150.8	17	2.8
14.1	57.6	0	0	130.5	7	2.7
10.5	65.2	1	0	108.5	0	2.4
6.8	71.7	5	1	51.3	0	3.2
4.1	89.2	8	0	70.3	0	3.8
6.5	70.7	3	1	41.8	0	4.8
6.1	35.4	8	0	125.7	0	3.6
6.3	140.5	6	7	68.4	0	4.3
9.3	45.4	3	0	135	2	3.2
16.4	53.9	0	0	231	20	3
16.1	69.9	0	0	184.7	19	2.8
18	101.9	0	0	181.6	20	2.9
17.6	89.3	0	0	138.3	26	3.1
14	70.7	0	0	157.8	4	3.3
10.5	72.4	0	1	122.1	2	3.1
6.9	67.6	5	3	39.6	0	3.5
2.8	43.3	13	5	59.8	0	2.9
0.7	62.9	18	2	89.1	0	3.5
3.6	57.1	11	7	33.1	0	3.2
6.7	68.2	4	2	150.5	0	3.7
12.5	47.1	0	0	196.9	6	3.1
14.4	43.1	0	0	196.6	13	3.1
16.5	64.5	0	0	225.2	15	3.1
18.7	73.1	0	0	214.2	27	3.1
19.4	37.7	0	0	258.3	30	2.9
15.8	29.1	0	0	156.9	13	3.1
11.3	105	1	0	89.8	0	2.9
9.7	98	0	0	48.2	0	5.5
2.9	80.8	13	10	46	0	4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=116596&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=116596&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116596&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Correlations for all pairs of data series (method=pearson)
temperaturenneerslagvriesdagensneeuwdagenZonneschijndagen+20°windsnelheid
temperaturen1-0.02-0.804-0.6190.8070.893-0.554
neerslag-0.021-0.0690.047-0.314-0.0420.319
vriesdagen-0.804-0.06910.698-0.56-0.5220.261
sneeuwdagen-0.6190.0470.6981-0.455-0.4140.28
Zonneschijn0.807-0.314-0.56-0.45510.794-0.556
dagen+20°0.893-0.042-0.522-0.4140.7941-0.574
windsnelheid -0.5540.3190.2610.28-0.556-0.5741

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & temperaturen & neerslag & vriesdagen & sneeuwdagen & Zonneschijn & dagen+20° & windsnelheid
 \tabularnewline
temperaturen & 1 & -0.02 & -0.804 & -0.619 & 0.807 & 0.893 & -0.554 \tabularnewline
neerslag & -0.02 & 1 & -0.069 & 0.047 & -0.314 & -0.042 & 0.319 \tabularnewline
vriesdagen & -0.804 & -0.069 & 1 & 0.698 & -0.56 & -0.522 & 0.261 \tabularnewline
sneeuwdagen & -0.619 & 0.047 & 0.698 & 1 & -0.455 & -0.414 & 0.28 \tabularnewline
Zonneschijn & 0.807 & -0.314 & -0.56 & -0.455 & 1 & 0.794 & -0.556 \tabularnewline
dagen+20° & 0.893 & -0.042 & -0.522 & -0.414 & 0.794 & 1 & -0.574 \tabularnewline
windsnelheid
 & -0.554 & 0.319 & 0.261 & 0.28 & -0.556 & -0.574 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116596&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]temperaturen[/C][C]neerslag[/C][C]vriesdagen[/C][C]sneeuwdagen[/C][C]Zonneschijn[/C][C]dagen+20°[/C][C]windsnelheid
[/C][/ROW]
[ROW][C]temperaturen[/C][C]1[/C][C]-0.02[/C][C]-0.804[/C][C]-0.619[/C][C]0.807[/C][C]0.893[/C][C]-0.554[/C][/ROW]
[ROW][C]neerslag[/C][C]-0.02[/C][C]1[/C][C]-0.069[/C][C]0.047[/C][C]-0.314[/C][C]-0.042[/C][C]0.319[/C][/ROW]
[ROW][C]vriesdagen[/C][C]-0.804[/C][C]-0.069[/C][C]1[/C][C]0.698[/C][C]-0.56[/C][C]-0.522[/C][C]0.261[/C][/ROW]
[ROW][C]sneeuwdagen[/C][C]-0.619[/C][C]0.047[/C][C]0.698[/C][C]1[/C][C]-0.455[/C][C]-0.414[/C][C]0.28[/C][/ROW]
[ROW][C]Zonneschijn[/C][C]0.807[/C][C]-0.314[/C][C]-0.56[/C][C]-0.455[/C][C]1[/C][C]0.794[/C][C]-0.556[/C][/ROW]
[ROW][C]dagen+20°[/C][C]0.893[/C][C]-0.042[/C][C]-0.522[/C][C]-0.414[/C][C]0.794[/C][C]1[/C][C]-0.574[/C][/ROW]
[ROW][C]windsnelheid
[/C][C]-0.554[/C][C]0.319[/C][C]0.261[/C][C]0.28[/C][C]-0.556[/C][C]-0.574[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116596&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116596&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)
temperaturenneerslagvriesdagensneeuwdagenZonneschijndagen+20°windsnelheid
temperaturen1-0.02-0.804-0.6190.8070.893-0.554
neerslag-0.021-0.0690.047-0.314-0.0420.319
vriesdagen-0.804-0.06910.698-0.56-0.5220.261
sneeuwdagen-0.6190.0470.6981-0.455-0.4140.28
Zonneschijn0.807-0.314-0.56-0.45510.794-0.556
dagen+20°0.893-0.042-0.522-0.4140.7941-0.574
windsnelheid -0.5540.3190.2610.28-0.556-0.5741







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
temperaturen;neerslag-0.0196-0.0574-0.0391
p-value(0.7627)(0.3759)(0.3689)
temperaturen;vriesdagen-0.8043-0.8911-0.7654
p-value(0)(0)(0)
temperaturen;sneeuwdagen-0.6186-0.7571-0.6018
p-value(0)(0)(0)
temperaturen;Zonneschijn0.80710.80920.6025
p-value(0)(0)(0)
temperaturen;dagen+20°0.89260.94190.8342
p-value(0)(0)(0)
temperaturen;windsnelheid -0.5538-0.6209-0.4514
p-value(0)(0)(0)
neerslag;vriesdagen-0.06910.03640.0267
p-value(0.2863)(0.5742)(0.5759)
neerslag;sneeuwdagen0.04720.06250.0459
p-value(0.4663)(0.3348)(0.3512)
neerslag;Zonneschijn-0.3144-0.3378-0.2266
p-value(0)(0)(0)
neerslag;dagen+20°-0.0423-0.121-0.088
p-value(0.5144)(0.0613)(0.0573)
neerslag;windsnelheid 0.31870.32610.2355
p-value(0)(0)(0)
vriesdagen;sneeuwdagen0.69790.80320.6978
p-value(0)(0)(0)
vriesdagen;Zonneschijn-0.5603-0.6864-0.5182
p-value(0)(0)(0)
vriesdagen;dagen+20°-0.5224-0.7968-0.6394
p-value(0)(0)(0)
vriesdagen;windsnelheid 0.26070.48570.359
p-value(0)(0)(0)
sneeuwdagen;Zonneschijn-0.4551-0.5947-0.4623
p-value(0)(0)(0)
sneeuwdagen;dagen+20°-0.4141-0.6467-0.5312
p-value(0)(0)(0)
sneeuwdagen;windsnelheid 0.27960.4580.354
p-value(0)(0)(0)
Zonneschijn;dagen+20°0.79450.83230.656
p-value(0)(0)(0)
Zonneschijn;windsnelheid -0.5557-0.5933-0.4301
p-value(0)(0)(0)
dagen+20°;windsnelheid -0.5742-0.6656-0.5199
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
temperaturen;neerslag & -0.0196 & -0.0574 & -0.0391 \tabularnewline
p-value & (0.7627) & (0.3759) & (0.3689) \tabularnewline
temperaturen;vriesdagen & -0.8043 & -0.8911 & -0.7654 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
temperaturen;sneeuwdagen & -0.6186 & -0.7571 & -0.6018 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
temperaturen;Zonneschijn & 0.8071 & 0.8092 & 0.6025 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
temperaturen;dagen+20° & 0.8926 & 0.9419 & 0.8342 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
temperaturen;windsnelheid
 & -0.5538 & -0.6209 & -0.4514 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
neerslag;vriesdagen & -0.0691 & 0.0364 & 0.0267 \tabularnewline
p-value & (0.2863) & (0.5742) & (0.5759) \tabularnewline
neerslag;sneeuwdagen & 0.0472 & 0.0625 & 0.0459 \tabularnewline
p-value & (0.4663) & (0.3348) & (0.3512) \tabularnewline
neerslag;Zonneschijn & -0.3144 & -0.3378 & -0.2266 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
neerslag;dagen+20° & -0.0423 & -0.121 & -0.088 \tabularnewline
p-value & (0.5144) & (0.0613) & (0.0573) \tabularnewline
neerslag;windsnelheid
 & 0.3187 & 0.3261 & 0.2355 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
vriesdagen;sneeuwdagen & 0.6979 & 0.8032 & 0.6978 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
vriesdagen;Zonneschijn & -0.5603 & -0.6864 & -0.5182 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
vriesdagen;dagen+20° & -0.5224 & -0.7968 & -0.6394 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
vriesdagen;windsnelheid
 & 0.2607 & 0.4857 & 0.359 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
sneeuwdagen;Zonneschijn & -0.4551 & -0.5947 & -0.4623 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
sneeuwdagen;dagen+20° & -0.4141 & -0.6467 & -0.5312 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
sneeuwdagen;windsnelheid
 & 0.2796 & 0.458 & 0.354 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Zonneschijn;dagen+20° & 0.7945 & 0.8323 & 0.656 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Zonneschijn;windsnelheid
 & -0.5557 & -0.5933 & -0.4301 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
dagen+20°;windsnelheid
 & -0.5742 & -0.6656 & -0.5199 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116596&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]temperaturen;neerslag[/C][C]-0.0196[/C][C]-0.0574[/C][C]-0.0391[/C][/ROW]
[ROW][C]p-value[/C][C](0.7627)[/C][C](0.3759)[/C][C](0.3689)[/C][/ROW]
[ROW][C]temperaturen;vriesdagen[/C][C]-0.8043[/C][C]-0.8911[/C][C]-0.7654[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]temperaturen;sneeuwdagen[/C][C]-0.6186[/C][C]-0.7571[/C][C]-0.6018[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]temperaturen;Zonneschijn[/C][C]0.8071[/C][C]0.8092[/C][C]0.6025[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]temperaturen;dagen+20°[/C][C]0.8926[/C][C]0.9419[/C][C]0.8342[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]temperaturen;windsnelheid
[/C][C]-0.5538[/C][C]-0.6209[/C][C]-0.4514[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]neerslag;vriesdagen[/C][C]-0.0691[/C][C]0.0364[/C][C]0.0267[/C][/ROW]
[ROW][C]p-value[/C][C](0.2863)[/C][C](0.5742)[/C][C](0.5759)[/C][/ROW]
[ROW][C]neerslag;sneeuwdagen[/C][C]0.0472[/C][C]0.0625[/C][C]0.0459[/C][/ROW]
[ROW][C]p-value[/C][C](0.4663)[/C][C](0.3348)[/C][C](0.3512)[/C][/ROW]
[ROW][C]neerslag;Zonneschijn[/C][C]-0.3144[/C][C]-0.3378[/C][C]-0.2266[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]neerslag;dagen+20°[/C][C]-0.0423[/C][C]-0.121[/C][C]-0.088[/C][/ROW]
[ROW][C]p-value[/C][C](0.5144)[/C][C](0.0613)[/C][C](0.0573)[/C][/ROW]
[ROW][C]neerslag;windsnelheid
[/C][C]0.3187[/C][C]0.3261[/C][C]0.2355[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]vriesdagen;sneeuwdagen[/C][C]0.6979[/C][C]0.8032[/C][C]0.6978[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]vriesdagen;Zonneschijn[/C][C]-0.5603[/C][C]-0.6864[/C][C]-0.5182[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]vriesdagen;dagen+20°[/C][C]-0.5224[/C][C]-0.7968[/C][C]-0.6394[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]vriesdagen;windsnelheid
[/C][C]0.2607[/C][C]0.4857[/C][C]0.359[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]sneeuwdagen;Zonneschijn[/C][C]-0.4551[/C][C]-0.5947[/C][C]-0.4623[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]sneeuwdagen;dagen+20°[/C][C]-0.4141[/C][C]-0.6467[/C][C]-0.5312[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]sneeuwdagen;windsnelheid
[/C][C]0.2796[/C][C]0.458[/C][C]0.354[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Zonneschijn;dagen+20°[/C][C]0.7945[/C][C]0.8323[/C][C]0.656[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Zonneschijn;windsnelheid
[/C][C]-0.5557[/C][C]-0.5933[/C][C]-0.4301[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]dagen+20°;windsnelheid
[/C][C]-0.5742[/C][C]-0.6656[/C][C]-0.5199[/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=116596&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116596&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
pairPearson rSpearman rhoKendall tau
temperaturen;neerslag-0.0196-0.0574-0.0391
p-value(0.7627)(0.3759)(0.3689)
temperaturen;vriesdagen-0.8043-0.8911-0.7654
p-value(0)(0)(0)
temperaturen;sneeuwdagen-0.6186-0.7571-0.6018
p-value(0)(0)(0)
temperaturen;Zonneschijn0.80710.80920.6025
p-value(0)(0)(0)
temperaturen;dagen+20°0.89260.94190.8342
p-value(0)(0)(0)
temperaturen;windsnelheid -0.5538-0.6209-0.4514
p-value(0)(0)(0)
neerslag;vriesdagen-0.06910.03640.0267
p-value(0.2863)(0.5742)(0.5759)
neerslag;sneeuwdagen0.04720.06250.0459
p-value(0.4663)(0.3348)(0.3512)
neerslag;Zonneschijn-0.3144-0.3378-0.2266
p-value(0)(0)(0)
neerslag;dagen+20°-0.0423-0.121-0.088
p-value(0.5144)(0.0613)(0.0573)
neerslag;windsnelheid 0.31870.32610.2355
p-value(0)(0)(0)
vriesdagen;sneeuwdagen0.69790.80320.6978
p-value(0)(0)(0)
vriesdagen;Zonneschijn-0.5603-0.6864-0.5182
p-value(0)(0)(0)
vriesdagen;dagen+20°-0.5224-0.7968-0.6394
p-value(0)(0)(0)
vriesdagen;windsnelheid 0.26070.48570.359
p-value(0)(0)(0)
sneeuwdagen;Zonneschijn-0.4551-0.5947-0.4623
p-value(0)(0)(0)
sneeuwdagen;dagen+20°-0.4141-0.6467-0.5312
p-value(0)(0)(0)
sneeuwdagen;windsnelheid 0.27960.4580.354
p-value(0)(0)(0)
Zonneschijn;dagen+20°0.79450.83230.656
p-value(0)(0)(0)
Zonneschijn;windsnelheid -0.5557-0.5933-0.4301
p-value(0)(0)(0)
dagen+20°;windsnelheid -0.5742-0.6656-0.5199
p-value(0)(0)(0)



Parameters (Session):
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')