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Author

*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Thu, 22 Dec 2011 14:00:08 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t1324580426zhn9b6ei8hozgld.htm/, Retrieved Fri, 03 May 2024 04:04:30 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159863, Retrieved Fri, 03 May 2024 04:04:30 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

112

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

-     [Testing Mean with unknown Variance - Critical Value] [] [2010-10-25 13:12:27] [b98453cac15ba1066b407e146608df68]
- RMPD  [Multiple Regression] [] [2011-12-22 13:45:12] [5a05da414fd67612c3b80d44effe0727]
- RM D    [(Partial) Autocorrelation Function] [] [2011-12-22 15:18:49] [5a05da414fd67612c3b80d44effe0727]
- R         [(Partial) Autocorrelation Function] [] [2011-12-22 15:20:17] [5a05da414fd67612c3b80d44effe0727]
-             [(Partial) Autocorrelation Function] [] [2011-12-22 15:29:46] [5a05da414fd67612c3b80d44effe0727]
- RM            [Exponential Smoothing] [] [2011-12-22 16:47:54] [5a05da414fd67612c3b80d44effe0727]
- RM              [Classical Decomposition] [] [2011-12-22 16:54:59] [5a05da414fd67612c3b80d44effe0727]
- RM D                [Kendall tau Correlation Matrix] [] [2011-12-22 19:00:08] [95610e892c4b5c84ff80f4c898567a9d] [Current]

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Dataseries X:

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Histogram

Boxplots

1845	162687	595	115	48	21	82	6200	37
1796	201906	545	76	58	20	80	10265	43
192	7215	72	1	0	0	0	603	0
2444	146367	679	155	67	27	84	8874	54
3567	257045	1201	125	83	31	124	20323	86
6917	524450	1967	278	136	36	140	26258	181
1840	188294	595	89	65	23	88	10165	42
1740	195674	496	59	86	30	115	8247	59
2078	177020	670	87	62	30	109	8683	46
3097	325899	1039	130	71	27	108	16957	77
1946	121844	634	158	50	24	63	8058	49
2370	203938	743	120	88	30	118	20488	79
1883	107394	681	87	50	22	71	7945	37
3198	220751	1086	264	79	28	112	13448	92
1490	172905	419	51	56	18	63	5389	31
1573	156326	474	85	54	22	86	6185	28
1807	145178	442	100	81	37	148	24369	103
1309	89171	373	72	13	15	54	70	2
2820	172624	899	147	74	34	134	17327	48
776	39790	242	49	18	18	57	3878	25
1162	87927	399	40	31	15	59	3149	16
2818	241285	850	99	99	30	113	20517	106
1760	195820	642	127	38	25	96	2570	35
2315	146946	717	164	59	34	96	5162	33
1994	159763	619	41	54	21	78	5299	45
1806	207078	657	160	63	21	80	7233	64
2152	212394	691	92	66	25	93	15657	73
1457	201536	366	59	90	31	109	15329	78
3000	394662	994	89	72	31	115	14881	63
2236	217892	929	90	61	20	79	16318	69
1685	182286	490	76	61	28	103	9556	36
1626	181740	553	116	61	22	71	10462	41
2257	137978	738	92	53	17	66	7192	59
3373	255929	1028	361	118	25	100	4362	33
2571	236489	844	85	73	25	100	14349	76
1	0	0	0	0	0	0	0	0
2142	230761	1000	63	54	31	121	10881	27
1878	132807	629	138	54	14	51	8022	44
2190	157118	532	270	46	35	119	13073	43
2186	253254	811	64	83	34	136	26641	104
2532	269329	837	96	106	22	84	14426	120
1823	161273	682	62	44	34	136	15604	44
1095	107181	400	35	27	23	84	9184	71
2162	195891	804	59	64	24	92	5989	78
1365	139667	419	56	71	26	103	11270	106
1244	171101	334	41	44	23	85	13958	61
756	81407	216	49	23	35	106	7162	53
2417	247563	786	121	78	24	96	13275	51
2327	239807	752	113	60	31	124	21224	46
2786	172743	964	190	73	30	106	10615	55
658	48188	205	37	12	22	82	2102	14
2012	169355	506	52	104	23	87	12396	44
2602	315622	830	89	83	27	97	18717	113
2071	241518	694	73	57	30	107	9724	55
1911	195583	691	49	67	33	126	9863	46
1775	159913	547	77	44	12	43	8374	39
1918	220241	538	58	53	26	96	8030	51
1046	101694	329	75	26	26	100	7509	31
1190	157258	427	32	67	23	91	14146	36
2890	202536	972	59	36	38	136	7768	47
1836	173505	541	71	56	32	128	13823	53
2254	150518	836	91	52	21	83	7230	38
1392	141491	376	87	54	22	74	10170	52
1325	125612	467	48	57	26	96	7573	37
1317	166049	430	63	27	28	102	5753	11
1525	124197	483	41	58	33	122	9791	45
2335	195043	504	86	76	36	144	19365	59
2897	138708	887	152	93	25	90	9422	82
1118	116552	271	49	59	25	97	12310	49
340	31970	101	40	5	21	78	1283	6
2977	258158	1097	135	57	19	72	6372	81
1449	151184	469	83	42	12	45	5413	56
1550	135926	528	62	88	30	120	10837	105
1684	119629	475	91	53	21	59	3394	46
2728	171518	698	95	81	39	150	12964	46
1574	108949	425	82	35	32	117	3495	2
2413	183471	709	112	102	28	123	11580	51
2563	159966	824	70	71	29	114	9970	95
1079	93786	336	78	28	21	75	4911	18
1235	84971	395	105	34	31	114	10138	55
980	88882	234	49	54	26	94	14697	48
2246	304603	830	60	49	29	116	8464	48
1076	75101	334	49	30	23	86	4204	39
1637	145043	524	132	57	25	90	10226	40
1208	95827	393	49	54	22	87	3456	36
1865	173924	574	71	38	26	99	8895	60
2726	241957	672	102	63	33	132	22557	114
1208	115367	284	74	58	24	96	6900	39
1419	118408	450	49	46	24	91	8620	45
1609	164078	653	74	46	21	77	7820	59
1864	158931	684	59	51	28	104	12112	59
2412	184139	706	91	87	28	100	13178	93
1238	152856	417	68	39	25	94	7028	35
1462	144014	549	81	28	15	60	6616	47
973	62535	394	33	26	13	46	9570	36
2319	245196	730	166	52	36	135	14612	59
1890	199841	571	97	96	27	99	11219	79
223	19349	67	15	13	1	2	786	14
2526	247280	877	105	43	24	96	11252	42
2072	159408	856	61	42	31	109	9289	41
778	72128	306	11	30	4	15	593	8
1194	104253	382	45	59	21	68	6562	41
1424	151090	435	89	73	27	102	8208	24
1328	137382	336	67	39	23	84	7488	22
839	87448	227	27	36	12	46	4574	18
596	27676	194	59	2	16	59	522	1
1671	165507	410	127	102	29	116	12840	53
1167	132148	273	48	30	26	29	1350	6
0	0	0	0	0	0	0	0	0
1106	95778	343	58	46	25	91	10623	49
1148	109001	376	57	25	21	76	5322	33
1485	158833	495	60	59	24	86	7987	50
1526	147690	448	77	60	21	84	10566	64
962	89887	313	71	36	21	65	1900	53
78	3616	14	5	0	0	0	0	0
0	0	0	0	0	0	0	0	0
1184	199005	410	70	45	23	84	10698	48
1671	160930	606	76	79	33	114	14884	90
2142	177948	593	124	30	32	132	6852	46
1015	136061	312	56	43	23	92	6873	29
778	43410	292	63	7	1	3	4	1
1856	184277	547	92	80	29	109	9188	64
1056	108858	302	58	32	20	81	5141	29
2234	141744	632	64	81	33	121	4260	27
731	60493	174	29	3	12	48	443	4
285	19764	75	19	10	2	8	2416	10
1872	177559	572	64	47	21	80	9831	47
1181	140281	389	79	35	28	107	5953	44
1725	164249	562	104	54	35	140	9435	51
256	11796	79	22	1	2	8	0	0
98	10674	33	7	0	0	0	0	0
1435	151322	487	37	46	18	56	7642	38
41	6836	11	5	0	1	4	0	0
1930	174712	664	48	51	21	70	6837	57
42	5118	6	1	5	0	0	0	0
528	40248	183	34	8	4	14	775	6
0	0	0	0	0	0	0	0	0
1121	127628	342	53	38	29	104	8191	22
1305	88837	269	44	21	26	89	1661	34
81	7131	27	0	0	0	0	0	0
262	9056	99	18	0	4	12	548	10
1099	87957	305	52	18	19	60	3080	16
1290	144470	327	56	53	22	84	13400	93
1248	111408	459	50	17	22	88	8181	22

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	'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159863&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159863&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159863&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	'Gertrude Mary Cox' @ cox.wessa.net

Correlations for all pairs of data series (method=pearson)
	Pageview	TimeRfc	CRSCompeVi	NrCompeVi	BloComp	RevCompe	NrSubmFeedbPR	CompWrNrRev	CompWRNrBl
Pageview	1	0.892	0.966	0.75	0.794	0.675	0.69	0.694	0.74
TimeRfc	0.892	1	0.882	0.606	0.775	0.672	0.695	0.74	0.74
CRSCompeVi	0.966	0.882	1	0.702	0.736	0.627	0.647	0.655	0.705
NrCompeVi	0.75	0.606	0.702	1	0.607	0.511	0.503	0.441	0.474
BloComp	0.794	0.775	0.736	0.607	1	0.678	0.7	0.746	0.776
RevCompe	0.675	0.672	0.627	0.511	0.678	1	0.971	0.687	0.599
NrSubmFeedbPR	0.69	0.695	0.647	0.503	0.7	0.971	1	0.733	0.624
CompWrNrRev	0.694	0.74	0.655	0.441	0.746	0.687	0.733	1	0.804
CompWRNrBl	0.74	0.74	0.705	0.474	0.776	0.599	0.624	0.804	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Pageview & TimeRfc & CRSCompeVi & NrCompeVi & BloComp & RevCompe & NrSubmFeedbPR & CompWrNrRev & CompWRNrBl \tabularnewline
Pageview & 1 & 0.892 & 0.966 & 0.75 & 0.794 & 0.675 & 0.69 & 0.694 & 0.74 \tabularnewline
TimeRfc & 0.892 & 1 & 0.882 & 0.606 & 0.775 & 0.672 & 0.695 & 0.74 & 0.74 \tabularnewline
CRSCompeVi & 0.966 & 0.882 & 1 & 0.702 & 0.736 & 0.627 & 0.647 & 0.655 & 0.705 \tabularnewline
NrCompeVi & 0.75 & 0.606 & 0.702 & 1 & 0.607 & 0.511 & 0.503 & 0.441 & 0.474 \tabularnewline
BloComp & 0.794 & 0.775 & 0.736 & 0.607 & 1 & 0.678 & 0.7 & 0.746 & 0.776 \tabularnewline
RevCompe & 0.675 & 0.672 & 0.627 & 0.511 & 0.678 & 1 & 0.971 & 0.687 & 0.599 \tabularnewline
NrSubmFeedbPR & 0.69 & 0.695 & 0.647 & 0.503 & 0.7 & 0.971 & 1 & 0.733 & 0.624 \tabularnewline
CompWrNrRev & 0.694 & 0.74 & 0.655 & 0.441 & 0.746 & 0.687 & 0.733 & 1 & 0.804 \tabularnewline
CompWRNrBl & 0.74 & 0.74 & 0.705 & 0.474 & 0.776 & 0.599 & 0.624 & 0.804 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159863&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Pageview[/C][C]TimeRfc[/C][C]CRSCompeVi[/C][C]NrCompeVi[/C][C]BloComp[/C][C]RevCompe[/C][C]NrSubmFeedbPR[/C][C]CompWrNrRev[/C][C]CompWRNrBl[/C][/ROW]
[ROW][C]Pageview[/C][C]1[/C][C]0.892[/C][C]0.966[/C][C]0.75[/C][C]0.794[/C][C]0.675[/C][C]0.69[/C][C]0.694[/C][C]0.74[/C][/ROW]
[ROW][C]TimeRfc[/C][C]0.892[/C][C]1[/C][C]0.882[/C][C]0.606[/C][C]0.775[/C][C]0.672[/C][C]0.695[/C][C]0.74[/C][C]0.74[/C][/ROW]
[ROW][C]CRSCompeVi[/C][C]0.966[/C][C]0.882[/C][C]1[/C][C]0.702[/C][C]0.736[/C][C]0.627[/C][C]0.647[/C][C]0.655[/C][C]0.705[/C][/ROW]
[ROW][C]NrCompeVi[/C][C]0.75[/C][C]0.606[/C][C]0.702[/C][C]1[/C][C]0.607[/C][C]0.511[/C][C]0.503[/C][C]0.441[/C][C]0.474[/C][/ROW]
[ROW][C]BloComp[/C][C]0.794[/C][C]0.775[/C][C]0.736[/C][C]0.607[/C][C]1[/C][C]0.678[/C][C]0.7[/C][C]0.746[/C][C]0.776[/C][/ROW]
[ROW][C]RevCompe[/C][C]0.675[/C][C]0.672[/C][C]0.627[/C][C]0.511[/C][C]0.678[/C][C]1[/C][C]0.971[/C][C]0.687[/C][C]0.599[/C][/ROW]
[ROW][C]NrSubmFeedbPR[/C][C]0.69[/C][C]0.695[/C][C]0.647[/C][C]0.503[/C][C]0.7[/C][C]0.971[/C][C]1[/C][C]0.733[/C][C]0.624[/C][/ROW]
[ROW][C]CompWrNrRev[/C][C]0.694[/C][C]0.74[/C][C]0.655[/C][C]0.441[/C][C]0.746[/C][C]0.687[/C][C]0.733[/C][C]1[/C][C]0.804[/C][/ROW]
[ROW][C]CompWRNrBl[/C][C]0.74[/C][C]0.74[/C][C]0.705[/C][C]0.474[/C][C]0.776[/C][C]0.599[/C][C]0.624[/C][C]0.804[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159863&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159863&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)
	Pageview	TimeRfc	CRSCompeVi	NrCompeVi	BloComp	RevCompe	NrSubmFeedbPR	CompWrNrRev	CompWRNrBl
Pageview	1	0.892	0.966	0.75	0.794	0.675	0.69	0.694	0.74
TimeRfc	0.892	1	0.882	0.606	0.775	0.672	0.695	0.74	0.74
CRSCompeVi	0.966	0.882	1	0.702	0.736	0.627	0.647	0.655	0.705
NrCompeVi	0.75	0.606	0.702	1	0.607	0.511	0.503	0.441	0.474
BloComp	0.794	0.775	0.736	0.607	1	0.678	0.7	0.746	0.776
RevCompe	0.675	0.672	0.627	0.511	0.678	1	0.971	0.687	0.599
NrSubmFeedbPR	0.69	0.695	0.647	0.503	0.7	0.971	1	0.733	0.624
CompWrNrRev	0.694	0.74	0.655	0.441	0.746	0.687	0.733	1	0.804
CompWRNrBl	0.74	0.74	0.705	0.474	0.776	0.599	0.624	0.804	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Pageview;TimeRfc	0.8924	0.8571	0.6982
p-value	(0)	(0)	(0)
Pageview;CRSCompeVi	0.9657	0.9602	0.8394
p-value	(0)	(0)	(0)
Pageview;NrCompeVi	0.75	0.7717	0.5892
p-value	(0)	(0)	(0)
Pageview;BloComp	0.7939	0.7666	0.5905
p-value	(0)	(0)	(0)
Pageview;RevCompe	0.6751	0.6169	0.4587
p-value	(0)	(0)	(0)
Pageview;NrSubmFeedbPR	0.6896	0.6412	0.4701
p-value	(0)	(0)	(0)
Pageview;CompWrNrRev	0.6942	0.6651	0.4932
p-value	(0)	(0)	(0)
Pageview;CompWRNrBl	0.7404	0.6797	0.511
p-value	(0)	(0)	(0)
TimeRfc;CRSCompeVi	0.8823	0.8473	0.6785
p-value	(0)	(0)	(0)
TimeRfc;NrCompeVi	0.6058	0.6536	0.4858
p-value	(0)	(0)	(0)
TimeRfc;BloComp	0.7751	0.7401	0.5623
p-value	(0)	(0)	(0)
TimeRfc;RevCompe	0.6722	0.5807	0.4317
p-value	(0)	(0)	(0)
TimeRfc;NrSubmFeedbPR	0.6954	0.6373	0.4681
p-value	(0)	(0)	(0)
TimeRfc;CompWrNrRev	0.7403	0.7173	0.5475
p-value	(0)	(0)	(0)
TimeRfc;CompWRNrBl	0.7398	0.6872	0.5204
p-value	(0)	(0)	(0)
CRSCompeVi;NrCompeVi	0.702	0.7326	0.5549
p-value	(0)	(0)	(0)
CRSCompeVi;BloComp	0.7363	0.7054	0.5358
p-value	(0)	(0)	(0)
CRSCompeVi;RevCompe	0.6271	0.5586	0.4122
p-value	(0)	(0)	(0)
CRSCompeVi;NrSubmFeedbPR	0.6475	0.5937	0.431
p-value	(0)	(0)	(0)
CRSCompeVi;CompWrNrRev	0.6545	0.6351	0.4695
p-value	(0)	(0)	(0)
CRSCompeVi;CompWRNrBl	0.7051	0.6539	0.4931
p-value	(0)	(0)	(0)
NrCompeVi;BloComp	0.6075	0.6194	0.454
p-value	(0)	(0)	(0)
NrCompeVi;RevCompe	0.5106	0.5079	0.3758
p-value	(0)	(0)	(0)
NrCompeVi;NrSubmFeedbPR	0.5032	0.5135	0.376
p-value	(0)	(0)	(0)
NrCompeVi;CompWrNrRev	0.4412	0.5396	0.3916
p-value	(0)	(0)	(0)
NrCompeVi;CompWRNrBl	0.4736	0.5516	0.3974
p-value	(0)	(0)	(0)
BloComp;RevCompe	0.6784	0.5985	0.4431
p-value	(0)	(0)	(0)
BloComp;NrSubmFeedbPR	0.7	0.6364	0.4705
p-value	(0)	(0)	(0)
BloComp;CompWrNrRev	0.7458	0.7553	0.5782
p-value	(0)	(0)	(0)
BloComp;CompWRNrBl	0.7762	0.7355	0.5714
p-value	(0)	(0)	(0)
RevCompe;NrSubmFeedbPR	0.9709	0.9607	0.8744
p-value	(0)	(0)	(0)
RevCompe;CompWrNrRev	0.6873	0.6679	0.5071
p-value	(0)	(0)	(0)
RevCompe;CompWRNrBl	0.5986	0.5444	0.4019
p-value	(0)	(0)	(0)
NrSubmFeedbPR;CompWrNrRev	0.733	0.709	0.5334
p-value	(0)	(0)	(0)
NrSubmFeedbPR;CompWRNrBl	0.6243	0.5686	0.4145
p-value	(0)	(0)	(0)
CompWrNrRev;CompWRNrBl	0.8044	0.7833	0.614
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
Pageview;TimeRfc & 0.8924 & 0.8571 & 0.6982 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageview;CRSCompeVi & 0.9657 & 0.9602 & 0.8394 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageview;NrCompeVi & 0.75 & 0.7717 & 0.5892 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageview;BloComp & 0.7939 & 0.7666 & 0.5905 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageview;RevCompe & 0.6751 & 0.6169 & 0.4587 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageview;NrSubmFeedbPR & 0.6896 & 0.6412 & 0.4701 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageview;CompWrNrRev & 0.6942 & 0.6651 & 0.4932 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pageview;CompWRNrBl & 0.7404 & 0.6797 & 0.511 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TimeRfc;CRSCompeVi & 0.8823 & 0.8473 & 0.6785 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TimeRfc;NrCompeVi & 0.6058 & 0.6536 & 0.4858 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TimeRfc;BloComp & 0.7751 & 0.7401 & 0.5623 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TimeRfc;RevCompe & 0.6722 & 0.5807 & 0.4317 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TimeRfc;NrSubmFeedbPR & 0.6954 & 0.6373 & 0.4681 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TimeRfc;CompWrNrRev & 0.7403 & 0.7173 & 0.5475 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TimeRfc;CompWRNrBl & 0.7398 & 0.6872 & 0.5204 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CRSCompeVi;NrCompeVi & 0.702 & 0.7326 & 0.5549 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CRSCompeVi;BloComp & 0.7363 & 0.7054 & 0.5358 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CRSCompeVi;RevCompe & 0.6271 & 0.5586 & 0.4122 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CRSCompeVi;NrSubmFeedbPR & 0.6475 & 0.5937 & 0.431 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CRSCompeVi;CompWrNrRev & 0.6545 & 0.6351 & 0.4695 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CRSCompeVi;CompWRNrBl & 0.7051 & 0.6539 & 0.4931 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NrCompeVi;BloComp & 0.6075 & 0.6194 & 0.454 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NrCompeVi;RevCompe & 0.5106 & 0.5079 & 0.3758 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NrCompeVi;NrSubmFeedbPR & 0.5032 & 0.5135 & 0.376 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NrCompeVi;CompWrNrRev & 0.4412 & 0.5396 & 0.3916 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NrCompeVi;CompWRNrBl & 0.4736 & 0.5516 & 0.3974 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BloComp;RevCompe & 0.6784 & 0.5985 & 0.4431 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BloComp;NrSubmFeedbPR & 0.7 & 0.6364 & 0.4705 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BloComp;CompWrNrRev & 0.7458 & 0.7553 & 0.5782 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BloComp;CompWRNrBl & 0.7762 & 0.7355 & 0.5714 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
RevCompe;NrSubmFeedbPR & 0.9709 & 0.9607 & 0.8744 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
RevCompe;CompWrNrRev & 0.6873 & 0.6679 & 0.5071 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
RevCompe;CompWRNrBl & 0.5986 & 0.5444 & 0.4019 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NrSubmFeedbPR;CompWrNrRev & 0.733 & 0.709 & 0.5334 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NrSubmFeedbPR;CompWRNrBl & 0.6243 & 0.5686 & 0.4145 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CompWrNrRev;CompWRNrBl & 0.8044 & 0.7833 & 0.614 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159863&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]Pageview;TimeRfc[/C][C]0.8924[/C][C]0.8571[/C][C]0.6982[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageview;CRSCompeVi[/C][C]0.9657[/C][C]0.9602[/C][C]0.8394[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageview;NrCompeVi[/C][C]0.75[/C][C]0.7717[/C][C]0.5892[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageview;BloComp[/C][C]0.7939[/C][C]0.7666[/C][C]0.5905[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageview;RevCompe[/C][C]0.6751[/C][C]0.6169[/C][C]0.4587[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageview;NrSubmFeedbPR[/C][C]0.6896[/C][C]0.6412[/C][C]0.4701[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageview;CompWrNrRev[/C][C]0.6942[/C][C]0.6651[/C][C]0.4932[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pageview;CompWRNrBl[/C][C]0.7404[/C][C]0.6797[/C][C]0.511[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRfc;CRSCompeVi[/C][C]0.8823[/C][C]0.8473[/C][C]0.6785[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRfc;NrCompeVi[/C][C]0.6058[/C][C]0.6536[/C][C]0.4858[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRfc;BloComp[/C][C]0.7751[/C][C]0.7401[/C][C]0.5623[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRfc;RevCompe[/C][C]0.6722[/C][C]0.5807[/C][C]0.4317[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRfc;NrSubmFeedbPR[/C][C]0.6954[/C][C]0.6373[/C][C]0.4681[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRfc;CompWrNrRev[/C][C]0.7403[/C][C]0.7173[/C][C]0.5475[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TimeRfc;CompWRNrBl[/C][C]0.7398[/C][C]0.6872[/C][C]0.5204[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CRSCompeVi;NrCompeVi[/C][C]0.702[/C][C]0.7326[/C][C]0.5549[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CRSCompeVi;BloComp[/C][C]0.7363[/C][C]0.7054[/C][C]0.5358[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CRSCompeVi;RevCompe[/C][C]0.6271[/C][C]0.5586[/C][C]0.4122[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CRSCompeVi;NrSubmFeedbPR[/C][C]0.6475[/C][C]0.5937[/C][C]0.431[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CRSCompeVi;CompWrNrRev[/C][C]0.6545[/C][C]0.6351[/C][C]0.4695[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CRSCompeVi;CompWRNrBl[/C][C]0.7051[/C][C]0.6539[/C][C]0.4931[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NrCompeVi;BloComp[/C][C]0.6075[/C][C]0.6194[/C][C]0.454[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NrCompeVi;RevCompe[/C][C]0.5106[/C][C]0.5079[/C][C]0.3758[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NrCompeVi;NrSubmFeedbPR[/C][C]0.5032[/C][C]0.5135[/C][C]0.376[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NrCompeVi;CompWrNrRev[/C][C]0.4412[/C][C]0.5396[/C][C]0.3916[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NrCompeVi;CompWRNrBl[/C][C]0.4736[/C][C]0.5516[/C][C]0.3974[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BloComp;RevCompe[/C][C]0.6784[/C][C]0.5985[/C][C]0.4431[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BloComp;NrSubmFeedbPR[/C][C]0.7[/C][C]0.6364[/C][C]0.4705[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BloComp;CompWrNrRev[/C][C]0.7458[/C][C]0.7553[/C][C]0.5782[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BloComp;CompWRNrBl[/C][C]0.7762[/C][C]0.7355[/C][C]0.5714[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]RevCompe;NrSubmFeedbPR[/C][C]0.9709[/C][C]0.9607[/C][C]0.8744[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]RevCompe;CompWrNrRev[/C][C]0.6873[/C][C]0.6679[/C][C]0.5071[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]RevCompe;CompWRNrBl[/C][C]0.5986[/C][C]0.5444[/C][C]0.4019[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NrSubmFeedbPR;CompWrNrRev[/C][C]0.733[/C][C]0.709[/C][C]0.5334[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NrSubmFeedbPR;CompWRNrBl[/C][C]0.6243[/C][C]0.5686[/C][C]0.4145[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CompWrNrRev;CompWRNrBl[/C][C]0.8044[/C][C]0.7833[/C][C]0.614[/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=159863&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159863&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
Pageview;TimeRfc	0.8924	0.8571	0.6982
p-value	(0)	(0)	(0)
Pageview;CRSCompeVi	0.9657	0.9602	0.8394
p-value	(0)	(0)	(0)
Pageview;NrCompeVi	0.75	0.7717	0.5892
p-value	(0)	(0)	(0)
Pageview;BloComp	0.7939	0.7666	0.5905
p-value	(0)	(0)	(0)
Pageview;RevCompe	0.6751	0.6169	0.4587
p-value	(0)	(0)	(0)
Pageview;NrSubmFeedbPR	0.6896	0.6412	0.4701
p-value	(0)	(0)	(0)
Pageview;CompWrNrRev	0.6942	0.6651	0.4932
p-value	(0)	(0)	(0)
Pageview;CompWRNrBl	0.7404	0.6797	0.511
p-value	(0)	(0)	(0)
TimeRfc;CRSCompeVi	0.8823	0.8473	0.6785
p-value	(0)	(0)	(0)
TimeRfc;NrCompeVi	0.6058	0.6536	0.4858
p-value	(0)	(0)	(0)
TimeRfc;BloComp	0.7751	0.7401	0.5623
p-value	(0)	(0)	(0)
TimeRfc;RevCompe	0.6722	0.5807	0.4317
p-value	(0)	(0)	(0)
TimeRfc;NrSubmFeedbPR	0.6954	0.6373	0.4681
p-value	(0)	(0)	(0)
TimeRfc;CompWrNrRev	0.7403	0.7173	0.5475
p-value	(0)	(0)	(0)
TimeRfc;CompWRNrBl	0.7398	0.6872	0.5204
p-value	(0)	(0)	(0)
CRSCompeVi;NrCompeVi	0.702	0.7326	0.5549
p-value	(0)	(0)	(0)
CRSCompeVi;BloComp	0.7363	0.7054	0.5358
p-value	(0)	(0)	(0)
CRSCompeVi;RevCompe	0.6271	0.5586	0.4122
p-value	(0)	(0)	(0)
CRSCompeVi;NrSubmFeedbPR	0.6475	0.5937	0.431
p-value	(0)	(0)	(0)
CRSCompeVi;CompWrNrRev	0.6545	0.6351	0.4695
p-value	(0)	(0)	(0)
CRSCompeVi;CompWRNrBl	0.7051	0.6539	0.4931
p-value	(0)	(0)	(0)
NrCompeVi;BloComp	0.6075	0.6194	0.454
p-value	(0)	(0)	(0)
NrCompeVi;RevCompe	0.5106	0.5079	0.3758
p-value	(0)	(0)	(0)
NrCompeVi;NrSubmFeedbPR	0.5032	0.5135	0.376
p-value	(0)	(0)	(0)
NrCompeVi;CompWrNrRev	0.4412	0.5396	0.3916
p-value	(0)	(0)	(0)
NrCompeVi;CompWRNrBl	0.4736	0.5516	0.3974
p-value	(0)	(0)	(0)
BloComp;RevCompe	0.6784	0.5985	0.4431
p-value	(0)	(0)	(0)
BloComp;NrSubmFeedbPR	0.7	0.6364	0.4705
p-value	(0)	(0)	(0)
BloComp;CompWrNrRev	0.7458	0.7553	0.5782
p-value	(0)	(0)	(0)
BloComp;CompWRNrBl	0.7762	0.7355	0.5714
p-value	(0)	(0)	(0)
RevCompe;NrSubmFeedbPR	0.9709	0.9607	0.8744
p-value	(0)	(0)	(0)
RevCompe;CompWrNrRev	0.6873	0.6679	0.5071
p-value	(0)	(0)	(0)
RevCompe;CompWRNrBl	0.5986	0.5444	0.4019
p-value	(0)	(0)	(0)
NrSubmFeedbPR;CompWrNrRev	0.733	0.709	0.5334
p-value	(0)	(0)	(0)
NrSubmFeedbPR;CompWRNrBl	0.6243	0.5686	0.4145
p-value	(0)	(0)	(0)
CompWrNrRev;CompWRNrBl	0.8044	0.7833	0.614
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

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