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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Tue, 14 Dec 2010 15:24:42 +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/14/t1292340233ggc25jwv73768kb.htm/, Retrieved Thu, 02 May 2024 16:10:05 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109730, Retrieved Thu, 02 May 2024 16:10:05 +0000

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Estimated Impact

149

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]
-   PD  [Kendall tau Correlation Matrix] [WS10 Computation ...] [2010-12-11 13:37:31] [07a238a5afc23eb944f8545182f29d5a]
- RM D      [Kendall tau Correlation Matrix] [WS10 Pearson Corr...] [2010-12-14 15:24:42] [514029464b0621595fe21c9fa38c7009] [Current]
- R           [Kendall tau Correlation Matrix] [Kendel toa] [2010-12-14 20:01:17] [b84bdc9bd81e1f02ca0dcc4710c1b790] 
-   P           [Kendall tau Correlation Matrix] [] [2010-12-21 09:03:49] [f730b099f190102bcd41f590a8dae16d] 

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Dataseries X:

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Boxplots

5	1	24	14	11	12	24	26
7	0	25	11	7	8	25	23
7	0	17	6	17	8	30	25
5	1	18	12	10	8	19	23
6	0	18	8	12	9	22	19
6	0	16	10	12	7	22	29
6	0	20	10	11	4	25	25
5	0	16	11	11	11	23	21
4	0	18	16	12	7	17	22
5	0	17	11	13	7	21	25
5	1	23	13	14	12	19	24
6	0	30	12	16	10	19	18
5	0	23	8	11	10	15	22
5	0	18	12	10	8	16	15
10	1	15	11	11	8	23	22
5	1	12	4	15	4	27	28
6	0	21	9	9	9	22	20
5	1	15	8	11	8	14	12
7	1	20	8	17	7	22	24
4	0	31	14	17	11	23	20
8	0	27	15	11	9	23	21
NA	0	34	16	18	11	21	20
5	0	21	9	14	13	19	21
5	1	31	14	10	8	18	23
6	1	19	11	11	8	20	28
6	0	16	8	15	9	23	24
5	0	20	9	15	6	25	24
5	1	21	9	13	9	19	24
7	1	22	9	16	9	24	23
4	0	17	9	13	6	22	23
5	0	24	10	9	6	25	29
7	0	25	16	18	16	26	24
5	0	26	11	18	5	29	18
8	0	25	8	12	7	32	25
5	0	17	9	17	9	25	21
5	1	32	16	9	6	29	26
5	1	33	11	9	6	28	22
6	1	13	16	12	5	17	22
6	0	32	12	18	12	28	22
6	1	25	12	12	7	29	23
5	1	29	14	18	10	26	30
5	0	22	9	14	9	25	23
5	1	18	10	15	8	14	17
6	0	17	9	16	5	25	23
5	1	20	10	10	8	26	23
6	1	15	12	11	8	20	25
7	0	20	14	14	10	18	24
6	1	33	14	9	6	32	24
7	0	29	10	12	8	25	23
6	0	23	14	17	7	25	21
5	1	26	16	5	4	23	24
5	1	18	9	12	8	21	24
5	0	20	10	12	8	20	28
6	0	11	6	6	4	15	16
8	1	28	8	24	20	30	20
5	0	26	13	12	8	24	29
6	0	22	10	12	8	26	27
10	1	17	8	14	6	24	22
6	1	12	7	7	4	22	28
5	0	14	15	13	8	14	16
5	1	17	9	12	9	24	25
6	1	21	10	13	6	24	24
6	0	19	12	14	7	24	28
5	1	18	13	8	9	24	24
5	1	10	10	11	5	19	23
5	1	29	11	9	5	31	30
5	1	31	8	11	8	22	24
5	1	19	9	13	8	27	21
5	1	9	13	10	6	19	25
5	0	20	11	11	8	25	25
6	0	28	8	12	7	20	22
5	0	19	9	9	7	21	23
7	0	30	9	15	9	27	26
4	0	29	15	18	11	23	23
7	0	26	9	15	6	25	25
6	0	23	10	12	8	20	21
NA	NA	13	14	13	6	21	25
6	0	21	12	14	9	22	24
6	1	19	12	10	8	23	29
4	0	28	11	13	6	25	22
6	0	23	14	13	10	25	27
5	0	18	6	11	8	17	26
5	1	21	12	13	8	19	22
6	0	20	8	16	10	25	24
5	1	23	14	8	5	19	27
5	1	21	11	16	7	20	24
6	0	21	10	11	5	26	24
6	1	15	14	9	8	23	29
7	0	28	12	16	14	27	22
5	1	19	10	12	7	17	21
5	1	26	14	14	8	17	24
5	0	10	5	8	6	19	24
5	1	16	11	9	5	17	23
6	0	22	10	15	6	22	20
5	1	19	9	11	10	21	27
6	0	31	10	21	12	32	26
5	1	31	16	14	9	21	25
7	0	29	13	18	12	21	21
6	1	19	9	12	7	18	21
6	0	22	10	13	8	18	19
5	0	23	10	15	10	23	21
7	1	15	7	12	6	19	21
6	0	20	9	19	10	20	16
5	0	18	8	15	10	21	22
5	1	23	14	11	10	20	29
6	0	25	14	11	5	17	15
8	0	21	8	10	7	18	17
5	0	24	9	13	10	19	15
4	0	25	14	15	11	22	21
5	1	17	14	12	6	15	21
5	0	13	8	12	7	14	19
8	0	28	8	16	12	18	24
7	1	21	8	9	11	24	20
5	0	25	7	18	11	35	17
5	0	9	6	8	11	29	23
7	0	16	8	13	5	21	24
NA	NA	19	6	17	8	25	14
5	1	17	11	9	6	20	19
5	1	25	14	15	9	22	24
4	1	20	11	8	4	13	13
NA	NA	29	11	7	4	26	22
5	0	14	11	12	7	17	16
7	0	22	14	14	11	25	19
4	0	15	8	6	6	20	25
6	1	19	20	8	7	19	25
7	1	20	11	17	8	21	23
6	0	15	8	10	4	22	24
8	0	20	11	11	8	24	26
8	0	18	10	14	9	21	26
5	0	33	14	11	8	26	25
7	0	22	11	13	11	24	18
4	0	16	9	12	8	16	21
8	1	17	9	11	5	23	26
6	0	16	8	9	4	18	23
5	1	21	10	12	8	16	23
6	1	26	13	20	10	26	22
7	0	18	13	12	6	19	20
6	0	18	12	13	9	21	13
6	0	17	8	12	9	21	24
4	0	22	13	12	13	22	15
7	0	30	14	9	9	23	14
6	0	30	12	15	10	29	22
9	0	24	14	24	20	21	10
5	1	21	15	7	5	21	24
NA	0	21	13	17	11	23	22
7	0	29	16	11	6	27	24
5	0	31	9	17	9	25	19
7	0	20	9	11	7	21	20
6	0	16	9	12	9	10	13
6	0	22	8	14	10	20	20
6	0	20	7	11	9	26	22
5	0	28	16	16	8	24	24
7	0	38	11	21	7	29	29
4	0	22	9	14	6	19	12
9	0	20	11	20	13	24	20
6	0	17	9	13	6	19	21
5	1	28	14	11	8	24	24
5	0	22	13	15	10	22	22
6	0	31	16	19	16	17	20

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	'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109730&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109730&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109730&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	'George Udny Yule' @ 72.249.76.132

Correlations for all pairs of data series (method=pearson)
	Leeftijd	Geslacht	ConMist	Doubact	ParExp	ParCrit	PersSta	Orga
Leeftijd	1	-0.095	0.044	-0.094	0.236	0.198	0.201	-0.018
Geslacht	-0.095	1	-0.096	0.141	-0.245	-0.195	-0.076	0.245
ConMist	0.044	-0.096	1	0.395	0.329	0.311	0.425	0.054
Doubact	-0.094	0.141	0.395	1	0.027	0.154	-0.032	0.07
ParExp	0.236	-0.245	0.329	0.027	1	0.593	0.244	-0.155
ParCrit	0.198	-0.195	0.311	0.154	0.593	1	0.131	-0.203
PersSta	0.201	-0.076	0.425	-0.032	0.244	0.131	1	0.352
Orga	-0.018	0.245	0.054	0.07	-0.155	-0.203	0.352	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Leeftijd & Geslacht & ConMist & Doubact & ParExp & ParCrit & PersSta & Orga \tabularnewline
Leeftijd & 1 & -0.095 & 0.044 & -0.094 & 0.236 & 0.198 & 0.201 & -0.018 \tabularnewline
Geslacht & -0.095 & 1 & -0.096 & 0.141 & -0.245 & -0.195 & -0.076 & 0.245 \tabularnewline
ConMist & 0.044 & -0.096 & 1 & 0.395 & 0.329 & 0.311 & 0.425 & 0.054 \tabularnewline
Doubact & -0.094 & 0.141 & 0.395 & 1 & 0.027 & 0.154 & -0.032 & 0.07 \tabularnewline
ParExp & 0.236 & -0.245 & 0.329 & 0.027 & 1 & 0.593 & 0.244 & -0.155 \tabularnewline
ParCrit & 0.198 & -0.195 & 0.311 & 0.154 & 0.593 & 1 & 0.131 & -0.203 \tabularnewline
PersSta & 0.201 & -0.076 & 0.425 & -0.032 & 0.244 & 0.131 & 1 & 0.352 \tabularnewline
Orga & -0.018 & 0.245 & 0.054 & 0.07 & -0.155 & -0.203 & 0.352 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109730&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Leeftijd[/C][C]Geslacht[/C][C]ConMist[/C][C]Doubact[/C][C]ParExp[/C][C]ParCrit[/C][C]PersSta[/C][C]Orga[/C][/ROW]
[ROW][C]Leeftijd[/C][C]1[/C][C]-0.095[/C][C]0.044[/C][C]-0.094[/C][C]0.236[/C][C]0.198[/C][C]0.201[/C][C]-0.018[/C][/ROW]
[ROW][C]Geslacht[/C][C]-0.095[/C][C]1[/C][C]-0.096[/C][C]0.141[/C][C]-0.245[/C][C]-0.195[/C][C]-0.076[/C][C]0.245[/C][/ROW]
[ROW][C]ConMist[/C][C]0.044[/C][C]-0.096[/C][C]1[/C][C]0.395[/C][C]0.329[/C][C]0.311[/C][C]0.425[/C][C]0.054[/C][/ROW]
[ROW][C]Doubact[/C][C]-0.094[/C][C]0.141[/C][C]0.395[/C][C]1[/C][C]0.027[/C][C]0.154[/C][C]-0.032[/C][C]0.07[/C][/ROW]
[ROW][C]ParExp[/C][C]0.236[/C][C]-0.245[/C][C]0.329[/C][C]0.027[/C][C]1[/C][C]0.593[/C][C]0.244[/C][C]-0.155[/C][/ROW]
[ROW][C]ParCrit[/C][C]0.198[/C][C]-0.195[/C][C]0.311[/C][C]0.154[/C][C]0.593[/C][C]1[/C][C]0.131[/C][C]-0.203[/C][/ROW]
[ROW][C]PersSta[/C][C]0.201[/C][C]-0.076[/C][C]0.425[/C][C]-0.032[/C][C]0.244[/C][C]0.131[/C][C]1[/C][C]0.352[/C][/ROW]
[ROW][C]Orga[/C][C]-0.018[/C][C]0.245[/C][C]0.054[/C][C]0.07[/C][C]-0.155[/C][C]-0.203[/C][C]0.352[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109730&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109730&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)
	Leeftijd	Geslacht	ConMist	Doubact	ParExp	ParCrit	PersSta	Orga
Leeftijd	1	-0.095	0.044	-0.094	0.236	0.198	0.201	-0.018
Geslacht	-0.095	1	-0.096	0.141	-0.245	-0.195	-0.076	0.245
ConMist	0.044	-0.096	1	0.395	0.329	0.311	0.425	0.054
Doubact	-0.094	0.141	0.395	1	0.027	0.154	-0.032	0.07
ParExp	0.236	-0.245	0.329	0.027	1	0.593	0.244	-0.155
ParCrit	0.198	-0.195	0.311	0.154	0.593	1	0.131	-0.203
PersSta	0.201	-0.076	0.425	-0.032	0.244	0.131	1	0.352
Orga	-0.018	0.245	0.054	0.07	-0.155	-0.203	0.352	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Leeftijd;Geslacht	-0.0953	-0.1556	-0.1427
p-value	(0.2397)	(0.0541)	(0.0543)
Leeftijd;ConMist	0.0441	0.0529	0.0399
p-value	(0.5868)	(0.5147)	(0.5216)
Leeftijd;Doubact	-0.0936	-0.1156	-0.0914
p-value	(0.2485)	(0.1535)	(0.1525)
Leeftijd;ParExp	0.236	0.1669	0.1318
p-value	(0.0032)	(0.0385)	(0.0374)
Leeftijd;ParCrit	0.1984	0.0838	0.0662
p-value	(0.0136)	(0.3012)	(0.3019)
Leeftijd;PersSta	0.2012	0.2156	0.1664
p-value	(0.0124)	(0.0072)	(0.0079)
Leeftijd;Orga	-0.0185	0.0012	0.0028
p-value	(0.82)	(0.9885)	(0.9643)
Geslacht;ConMist	-0.0964	-0.1011	-0.0848
p-value	(0.2311)	(0.2093)	(0.2083)
Geslacht;Doubact	0.1411	0.1419	0.1221
p-value	(0.0789)	(0.0773)	(0.0774)
Geslacht;ParExp	-0.2451	-0.2814	-0.2401
p-value	(0.002)	(4e-04)	(5e-04)
Geslacht;ParCrit	-0.1948	-0.2219	-0.1918
p-value	(0.0148)	(0.0054)	(0.0057)
Geslacht;PersSta	-0.0763	-0.0956	-0.0808
p-value	(0.3435)	(0.2353)	(0.2341)
Geslacht;Orga	0.245	0.2516	0.2142
p-value	(0.002)	(0.0015)	(0.0017)
ConMist;Doubact	0.3953	0.3949	0.3021
p-value	(0)	(0)	(0)
ConMist;ParExp	0.3288	0.2842	0.2144
p-value	(0)	(3e-04)	(2e-04)
ConMist;ParCrit	0.3109	0.3309	0.2526
p-value	(1e-04)	(0)	(0)
ConMist;PersSta	0.425	0.4077	0.3013
p-value	(0)	(0)	(0)
ConMist;Orga	0.0541	0.0058	0.0018
p-value	(0.4983)	(0.9427)	(0.9749)
Doubact;ParExp	0.0272	0.0213	0.0124
p-value	(0.7332)	(0.7897)	(0.8314)
Doubact;ParCrit	0.1543	0.1205	0.0884
p-value	(0.0521)	(0.1304)	(0.1357)
Doubact;PersSta	-0.0324	0.0027	0.002
p-value	(0.6847)	(0.9734)	(0.9724)
Doubact;Orga	0.0698	0.0815	0.0587
p-value	(0.3817)	(0.3068)	(0.314)
ParExp;ParCrit	0.5932	0.4821	0.3775
p-value	(0)	(0)	(0)
ParExp;PersSta	0.2436	0.1987	0.1512
p-value	(0.002)	(0.0121)	(0.0084)
ParExp;Orga	-0.1549	-0.1805	-0.1349
p-value	(0.0512)	(0.0228)	(0.0196)
ParCrit;PersSta	0.1313	0.1159	0.085
p-value	(0.099)	(0.1459)	(0.1439)
ParCrit;Orga	-0.203	-0.189	-0.1383
p-value	(0.0103)	(0.0171)	(0.0182)
PersSta;Orga	0.3522	0.309	0.2242
p-value	(0)	(1e-04)	(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
Leeftijd;Geslacht & -0.0953 & -0.1556 & -0.1427 \tabularnewline
p-value & (0.2397) & (0.0541) & (0.0543) \tabularnewline
Leeftijd;ConMist & 0.0441 & 0.0529 & 0.0399 \tabularnewline
p-value & (0.5868) & (0.5147) & (0.5216) \tabularnewline
Leeftijd;Doubact & -0.0936 & -0.1156 & -0.0914 \tabularnewline
p-value & (0.2485) & (0.1535) & (0.1525) \tabularnewline
Leeftijd;ParExp & 0.236 & 0.1669 & 0.1318 \tabularnewline
p-value & (0.0032) & (0.0385) & (0.0374) \tabularnewline
Leeftijd;ParCrit & 0.1984 & 0.0838 & 0.0662 \tabularnewline
p-value & (0.0136) & (0.3012) & (0.3019) \tabularnewline
Leeftijd;PersSta & 0.2012 & 0.2156 & 0.1664 \tabularnewline
p-value & (0.0124) & (0.0072) & (0.0079) \tabularnewline
Leeftijd;Orga & -0.0185 & 0.0012 & 0.0028 \tabularnewline
p-value & (0.82) & (0.9885) & (0.9643) \tabularnewline
Geslacht;ConMist & -0.0964 & -0.1011 & -0.0848 \tabularnewline
p-value & (0.2311) & (0.2093) & (0.2083) \tabularnewline
Geslacht;Doubact & 0.1411 & 0.1419 & 0.1221 \tabularnewline
p-value & (0.0789) & (0.0773) & (0.0774) \tabularnewline
Geslacht;ParExp & -0.2451 & -0.2814 & -0.2401 \tabularnewline
p-value & (0.002) & (4e-04) & (5e-04) \tabularnewline
Geslacht;ParCrit & -0.1948 & -0.2219 & -0.1918 \tabularnewline
p-value & (0.0148) & (0.0054) & (0.0057) \tabularnewline
Geslacht;PersSta & -0.0763 & -0.0956 & -0.0808 \tabularnewline
p-value & (0.3435) & (0.2353) & (0.2341) \tabularnewline
Geslacht;Orga & 0.245 & 0.2516 & 0.2142 \tabularnewline
p-value & (0.002) & (0.0015) & (0.0017) \tabularnewline
ConMist;Doubact & 0.3953 & 0.3949 & 0.3021 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
ConMist;ParExp & 0.3288 & 0.2842 & 0.2144 \tabularnewline
p-value & (0) & (3e-04) & (2e-04) \tabularnewline
ConMist;ParCrit & 0.3109 & 0.3309 & 0.2526 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
ConMist;PersSta & 0.425 & 0.4077 & 0.3013 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
ConMist;Orga & 0.0541 & 0.0058 & 0.0018 \tabularnewline
p-value & (0.4983) & (0.9427) & (0.9749) \tabularnewline
Doubact;ParExp & 0.0272 & 0.0213 & 0.0124 \tabularnewline
p-value & (0.7332) & (0.7897) & (0.8314) \tabularnewline
Doubact;ParCrit & 0.1543 & 0.1205 & 0.0884 \tabularnewline
p-value & (0.0521) & (0.1304) & (0.1357) \tabularnewline
Doubact;PersSta & -0.0324 & 0.0027 & 0.002 \tabularnewline
p-value & (0.6847) & (0.9734) & (0.9724) \tabularnewline
Doubact;Orga & 0.0698 & 0.0815 & 0.0587 \tabularnewline
p-value & (0.3817) & (0.3068) & (0.314) \tabularnewline
ParExp;ParCrit & 0.5932 & 0.4821 & 0.3775 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
ParExp;PersSta & 0.2436 & 0.1987 & 0.1512 \tabularnewline
p-value & (0.002) & (0.0121) & (0.0084) \tabularnewline
ParExp;Orga & -0.1549 & -0.1805 & -0.1349 \tabularnewline
p-value & (0.0512) & (0.0228) & (0.0196) \tabularnewline
ParCrit;PersSta & 0.1313 & 0.1159 & 0.085 \tabularnewline
p-value & (0.099) & (0.1459) & (0.1439) \tabularnewline
ParCrit;Orga & -0.203 & -0.189 & -0.1383 \tabularnewline
p-value & (0.0103) & (0.0171) & (0.0182) \tabularnewline
PersSta;Orga & 0.3522 & 0.309 & 0.2242 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109730&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]Leeftijd;Geslacht[/C][C]-0.0953[/C][C]-0.1556[/C][C]-0.1427[/C][/ROW]
[ROW][C]p-value[/C][C](0.2397)[/C][C](0.0541)[/C][C](0.0543)[/C][/ROW]
[ROW][C]Leeftijd;ConMist[/C][C]0.0441[/C][C]0.0529[/C][C]0.0399[/C][/ROW]
[ROW][C]p-value[/C][C](0.5868)[/C][C](0.5147)[/C][C](0.5216)[/C][/ROW]
[ROW][C]Leeftijd;Doubact[/C][C]-0.0936[/C][C]-0.1156[/C][C]-0.0914[/C][/ROW]
[ROW][C]p-value[/C][C](0.2485)[/C][C](0.1535)[/C][C](0.1525)[/C][/ROW]
[ROW][C]Leeftijd;ParExp[/C][C]0.236[/C][C]0.1669[/C][C]0.1318[/C][/ROW]
[ROW][C]p-value[/C][C](0.0032)[/C][C](0.0385)[/C][C](0.0374)[/C][/ROW]
[ROW][C]Leeftijd;ParCrit[/C][C]0.1984[/C][C]0.0838[/C][C]0.0662[/C][/ROW]
[ROW][C]p-value[/C][C](0.0136)[/C][C](0.3012)[/C][C](0.3019)[/C][/ROW]
[ROW][C]Leeftijd;PersSta[/C][C]0.2012[/C][C]0.2156[/C][C]0.1664[/C][/ROW]
[ROW][C]p-value[/C][C](0.0124)[/C][C](0.0072)[/C][C](0.0079)[/C][/ROW]
[ROW][C]Leeftijd;Orga[/C][C]-0.0185[/C][C]0.0012[/C][C]0.0028[/C][/ROW]
[ROW][C]p-value[/C][C](0.82)[/C][C](0.9885)[/C][C](0.9643)[/C][/ROW]
[ROW][C]Geslacht;ConMist[/C][C]-0.0964[/C][C]-0.1011[/C][C]-0.0848[/C][/ROW]
[ROW][C]p-value[/C][C](0.2311)[/C][C](0.2093)[/C][C](0.2083)[/C][/ROW]
[ROW][C]Geslacht;Doubact[/C][C]0.1411[/C][C]0.1419[/C][C]0.1221[/C][/ROW]
[ROW][C]p-value[/C][C](0.0789)[/C][C](0.0773)[/C][C](0.0774)[/C][/ROW]
[ROW][C]Geslacht;ParExp[/C][C]-0.2451[/C][C]-0.2814[/C][C]-0.2401[/C][/ROW]
[ROW][C]p-value[/C][C](0.002)[/C][C](4e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]Geslacht;ParCrit[/C][C]-0.1948[/C][C]-0.2219[/C][C]-0.1918[/C][/ROW]
[ROW][C]p-value[/C][C](0.0148)[/C][C](0.0054)[/C][C](0.0057)[/C][/ROW]
[ROW][C]Geslacht;PersSta[/C][C]-0.0763[/C][C]-0.0956[/C][C]-0.0808[/C][/ROW]
[ROW][C]p-value[/C][C](0.3435)[/C][C](0.2353)[/C][C](0.2341)[/C][/ROW]
[ROW][C]Geslacht;Orga[/C][C]0.245[/C][C]0.2516[/C][C]0.2142[/C][/ROW]
[ROW][C]p-value[/C][C](0.002)[/C][C](0.0015)[/C][C](0.0017)[/C][/ROW]
[ROW][C]ConMist;Doubact[/C][C]0.3953[/C][C]0.3949[/C][C]0.3021[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]ConMist;ParExp[/C][C]0.3288[/C][C]0.2842[/C][C]0.2144[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](3e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]ConMist;ParCrit[/C][C]0.3109[/C][C]0.3309[/C][C]0.2526[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]ConMist;PersSta[/C][C]0.425[/C][C]0.4077[/C][C]0.3013[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]ConMist;Orga[/C][C]0.0541[/C][C]0.0058[/C][C]0.0018[/C][/ROW]
[ROW][C]p-value[/C][C](0.4983)[/C][C](0.9427)[/C][C](0.9749)[/C][/ROW]
[ROW][C]Doubact;ParExp[/C][C]0.0272[/C][C]0.0213[/C][C]0.0124[/C][/ROW]
[ROW][C]p-value[/C][C](0.7332)[/C][C](0.7897)[/C][C](0.8314)[/C][/ROW]
[ROW][C]Doubact;ParCrit[/C][C]0.1543[/C][C]0.1205[/C][C]0.0884[/C][/ROW]
[ROW][C]p-value[/C][C](0.0521)[/C][C](0.1304)[/C][C](0.1357)[/C][/ROW]
[ROW][C]Doubact;PersSta[/C][C]-0.0324[/C][C]0.0027[/C][C]0.002[/C][/ROW]
[ROW][C]p-value[/C][C](0.6847)[/C][C](0.9734)[/C][C](0.9724)[/C][/ROW]
[ROW][C]Doubact;Orga[/C][C]0.0698[/C][C]0.0815[/C][C]0.0587[/C][/ROW]
[ROW][C]p-value[/C][C](0.3817)[/C][C](0.3068)[/C][C](0.314)[/C][/ROW]
[ROW][C]ParExp;ParCrit[/C][C]0.5932[/C][C]0.4821[/C][C]0.3775[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]ParExp;PersSta[/C][C]0.2436[/C][C]0.1987[/C][C]0.1512[/C][/ROW]
[ROW][C]p-value[/C][C](0.002)[/C][C](0.0121)[/C][C](0.0084)[/C][/ROW]
[ROW][C]ParExp;Orga[/C][C]-0.1549[/C][C]-0.1805[/C][C]-0.1349[/C][/ROW]
[ROW][C]p-value[/C][C](0.0512)[/C][C](0.0228)[/C][C](0.0196)[/C][/ROW]
[ROW][C]ParCrit;PersSta[/C][C]0.1313[/C][C]0.1159[/C][C]0.085[/C][/ROW]
[ROW][C]p-value[/C][C](0.099)[/C][C](0.1459)[/C][C](0.1439)[/C][/ROW]
[ROW][C]ParCrit;Orga[/C][C]-0.203[/C][C]-0.189[/C][C]-0.1383[/C][/ROW]
[ROW][C]p-value[/C][C](0.0103)[/C][C](0.0171)[/C][C](0.0182)[/C][/ROW]
[ROW][C]PersSta;Orga[/C][C]0.3522[/C][C]0.309[/C][C]0.2242[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109730&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109730&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
Leeftijd;Geslacht	-0.0953	-0.1556	-0.1427
p-value	(0.2397)	(0.0541)	(0.0543)
Leeftijd;ConMist	0.0441	0.0529	0.0399
p-value	(0.5868)	(0.5147)	(0.5216)
Leeftijd;Doubact	-0.0936	-0.1156	-0.0914
p-value	(0.2485)	(0.1535)	(0.1525)
Leeftijd;ParExp	0.236	0.1669	0.1318
p-value	(0.0032)	(0.0385)	(0.0374)
Leeftijd;ParCrit	0.1984	0.0838	0.0662
p-value	(0.0136)	(0.3012)	(0.3019)
Leeftijd;PersSta	0.2012	0.2156	0.1664
p-value	(0.0124)	(0.0072)	(0.0079)
Leeftijd;Orga	-0.0185	0.0012	0.0028
p-value	(0.82)	(0.9885)	(0.9643)
Geslacht;ConMist	-0.0964	-0.1011	-0.0848
p-value	(0.2311)	(0.2093)	(0.2083)
Geslacht;Doubact	0.1411	0.1419	0.1221
p-value	(0.0789)	(0.0773)	(0.0774)
Geslacht;ParExp	-0.2451	-0.2814	-0.2401
p-value	(0.002)	(4e-04)	(5e-04)
Geslacht;ParCrit	-0.1948	-0.2219	-0.1918
p-value	(0.0148)	(0.0054)	(0.0057)
Geslacht;PersSta	-0.0763	-0.0956	-0.0808
p-value	(0.3435)	(0.2353)	(0.2341)
Geslacht;Orga	0.245	0.2516	0.2142
p-value	(0.002)	(0.0015)	(0.0017)
ConMist;Doubact	0.3953	0.3949	0.3021
p-value	(0)	(0)	(0)
ConMist;ParExp	0.3288	0.2842	0.2144
p-value	(0)	(3e-04)	(2e-04)
ConMist;ParCrit	0.3109	0.3309	0.2526
p-value	(1e-04)	(0)	(0)
ConMist;PersSta	0.425	0.4077	0.3013
p-value	(0)	(0)	(0)
ConMist;Orga	0.0541	0.0058	0.0018
p-value	(0.4983)	(0.9427)	(0.9749)
Doubact;ParExp	0.0272	0.0213	0.0124
p-value	(0.7332)	(0.7897)	(0.8314)
Doubact;ParCrit	0.1543	0.1205	0.0884
p-value	(0.0521)	(0.1304)	(0.1357)
Doubact;PersSta	-0.0324	0.0027	0.002
p-value	(0.6847)	(0.9734)	(0.9724)
Doubact;Orga	0.0698	0.0815	0.0587
p-value	(0.3817)	(0.3068)	(0.314)
ParExp;ParCrit	0.5932	0.4821	0.3775
p-value	(0)	(0)	(0)
ParExp;PersSta	0.2436	0.1987	0.1512
p-value	(0.002)	(0.0121)	(0.0084)
ParExp;Orga	-0.1549	-0.1805	-0.1349
p-value	(0.0512)	(0.0228)	(0.0196)
ParCrit;PersSta	0.1313	0.1159	0.085
p-value	(0.099)	(0.1459)	(0.1439)
ParCrit;Orga	-0.203	-0.189	-0.1383
p-value	(0.0103)	(0.0171)	(0.0182)
PersSta;Orga	0.3522	0.309	0.2242
p-value	(0)	(1e-04)	(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