FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationFri, 18 Dec 2009 03:35:51 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/18/t12611326176wslvwkd5005kps.htm/, Retrieved Sat, 27 Apr 2024 14:37:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69211, Retrieved Sat, 27 Apr 2024 14:37:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [RES KendallTau Co...] [2008-12-18 12:04:08] [74be16979710d4c4e7c6647856088456]
-  M      [Kendall tau Correlation Matrix] [] [2009-12-18 10:35:51] [efd540d63f04881f500eb7fad70c8699] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.122359934	0.358589807
0.931905548	4.214511881
-0.055775589	0.420547929
1.468985837	3.033704781
1.055123159	-0.56052437
0.944996502	-2.838342909
1.068458953	-3.59195797
0.316141818	-6.503810163
0.760538937	5.033758581
-2.20217258	1.822352229
-0.131541265	-1.643968707
-0.532224765	4.637069866
-1.741321669	2.605785323
0.204726282	2.374789523
-0.147865278	-0.774121623
1.396025769	-0.18761552
0.162345476	-5.476045205
0.015665853	1.447158493
0.217672981	-5.204314911
-0.917486426	-2.825441851
-0.903483082	-2.981766221
0.37057944	3.477155845
-1.528186024	-0.074804163
1.425442977	-0.747083419
0.823776349	0.087556846
1.16416148	1.717535987
0.548322968	0.265092469
-0.145197568	0.981838958
0.144016721	0.684387041
-0.008729414	0.745580981
-0.044488825	-7.057264511
2.265085141	-1.339602775
-2.30024615	6.03224455
-0.802974595	3.333000547
1.905081291	0.387430727
0.141275448	-0.492571244
-0.274557318	-1.114554463
-1.089390275	0.986362193
-0.106056668	-4.178129754
0.153839662	0.909776697
1.378581549	-7.566372304
0.984071836	3.040076348
-1.093840675	-8.618545405
-2.335855288	-4.975483225
0.019620673	0.269474159
-0.773231639	-3.502271034
0.531269746	1.756026214
-3.130460456	1.961162274
-1.063832741	-10.19663213
1.864410977	3.866961067
-1.765416679	2.959241025
-0.680077954	5.786212324
-0.465236897	-6.26689154
2.087199736	-0.665419672
-3.08370281	0.355327246
-0.865874128	-4.465315313
0.852274105	-3.636530751
-2.170886194	0.916132779
-0.42542584	5.892284803
-6.885803565	2.819396501
0.797287754	1.358031711
2.743745431	3.472312894
-1.351253289	-0.798747936
2.723775248	2.201569021
-0.265752017	-2.740539939
0.628595851	-8.425176128
1.685366026	4.576725209
-3.512413068	-0.163276651
0.213871684	5.096224222
3.188286472	1.272592869
0.271504185	5.100785917
-0.398480607	-4.457886388
-0.968286123	-0.340800482
-0.812342823	-8.220223643
1.714817333	-2.805502328
-2.910379004	2.246491982
-0.863810554	0.143995451
-0.211153485	3.294160473
-1.471741777	1.000168003
1.321517564	-1.032622833
0.2632073	9.151328623
-3.586108009	1.90221947
3.524638387	-3.883571884
2.073869999	-0.163667593
-1.349714486	-1.799971377
0.647566188	-0.773225401
1.610373405	1.292136516
-0.205131216	1.430141163
3.117976023	-2.042196108
1.983811507	3.366728864
-0.574764692	2.244260398
2.005568836	-0.331813788
1.261019639	0.865535035
-0.024939629	3.650254091
-0.237549844	1.90654942
0.211769735	2.797597632
-0.068297898	-1.73372425
0.020923687	-3.761268377
-0.049292778	2.152813415
-0.046741439	-3.723793261
-0.199106019	-1.190889523
-1.867970158	-0.97549975
-1.910721422	-1.917168484
1.572336912	-8.371650271
0.278963542	1.29636821
-3.002324916	0.862891059
-0.429296011	0.45714904
-0.360255949	-2.135685819
-1.54444216	2.370873598
2.074267337	1.420567252
2.268283466	1.11247933
0.470843123	0.750168076
0.612020641	-7.550796046
0.088859022	-2.09736341
-0.741154231	-3.029848055
-1.702438454	2.222742419
-0.701120629	-11.39124599
0.848785545	-3.448975351
-3.118553809	-6.991908479
-0.340791363	-2.137404059
-2.084450156	6.27314404
-2.657138582	-1.787735714
2.483969208	-3.374998736
1.092183998	0.043628003
0.214914883	-5.666504925
-2.252556302	-2.686506291
0.081923776	-7.06566099
-1.090016937	-1.646318617
0.091750747	4.993320585
-0.302970612	-5.827222717
3.266721419	2.661738145
0.272181497	10.7248933
-1.509282405	3.431334526
3.118010252	5.392091551
0.709336134	-0.718006171
0.797929557	-4.146751437
0.024987012	5.332315454
-0.510022678	6.684877836
1.672039447	1.503336896
1.17811794	1.35993339
-0.195060587	-7.866389577
2.003888686	0.524195986
-1.991462706	1.220770483
-3.780993951	0.559816644
-2.94306251	-3.548850602
-2.755028972	0.128191337
-1.547870074	0.074370732
-1.464063034	3.106940383
-0.355532874	5.515200278
2.484192802	-4.139564796
0.128414605	-3.087731061
-0.645552653	-1.970674609
0.493284806	-6.731845195
2.155227331	-1.35644177
0.842823637	-9.693524485
-3.609266334	-0.294281856
-3.02895622	-5.999112686
0.253120657	4.007826455
0.469936281	1.198314989
-2.414708957	-4.129254019
-0.332056481	-0.073248977
0.021684517	-7.642882768
-0.723477195	-0.295355602
-4.492503369	-9.561506792
1.736091775	-1.976380846
0.568687819	0.508446603
-2.86646043	-3.818072105
-7.457541952	5.882141871
-0.113160554	1.580746623
2.050205993	-2.665063328
5.688886915	1.734601575
-2.789870757	2.581488384
1.853018343	-0.660619869
0.587478284	3.902118748
1.425740928	4.439133346
0.245486658	-1.301320618
2.215449812	-6.604744216
0.30622077	-4.582537935
-4.486786168	3.80404284
-1.245225426	0.808798701
-2.081228135	2.595458525
-0.102782372	0.247289549
-0.231228849	4.887764022
-1.155245505	-4.001119943
3.839469939	-1.927549528
0.756141264	-0.564184003
-0.334519186	-1.558046047
1.501938513	3.972283676
-3.503251683	-5.519802454
2.545822843	0.82316399
-0.249882715	3.427488076
1.826897295	2.74903243
1.183288155	-3.860963592
2.178453894	-4.58611395
0.982882224	-9.451774044
0.192963833	-2.802976135
-4.748270493	-2.752721635
-1.546278111	0.957363779
-0.957344137	-7.556242767
2.771841656	-3.96799907
0.988637626	-1.639954959
0.046130644	0.035474496
0.058911763	0.093061831
-1.613053267	0.037236475
-2.827962948	0.744184164
-0.409646709	-11.0956289
-3.472100215	9.414640904
-2.67352482	-5.909305325
3.739603344	9.372040194
0.940575248	3.247696555
2.715238152	2.859199301
1.590584938	-4.966832825
-1.901196912	-4.749458918
2.168241623	-3.292214504
-3.291258516	12.68155326
2.431989331	2.8534252
1.379624088	2.041548827
1.660957909	-1.886714277
0.803376279	0.742218458
0.635350876	-1.20572167
-1.935088352	-3.501715932
-1.364117462	0.372089171
-1.288076636	-6.273171509
2.763030557	-2.237638513
-1.850948021	0.92103917
-0.426026229	4.644240063
1.416557529	2.009379362
1.054518042	8.699163619
0.100735979	-1.502056368
3.01821026	-3.219268656
-0.582956862	0.304121669
-0.465121784	4.75949758
-1.278449674	4.256396557
3.852168919	1.074037275
1.516127833	-0.766333759
0.679014194	-0.223483754
-1.187703382	8.589799811
1.025403734	-0.301460196
0.921134292	1.607870846
0.473279558	-2.235564155
1.218773055	0.715144187
-1.967712268	-2.09909075
-0.284285615	1.594136105
-0.739335622	0.486504166
0.177297096	1.991971338
0.617738343	3.319154359
1.963704879	0.434992231
1.770795897	1.162593872
0.862954668	-4.52972192
0.736632082	-8.078465542
-1.57670801	-0.823293999
-0.757226618	-4.901134696
0.459526319	-0.751130487
-2.740544672	1.527788823
0.642873603	4.05085425
-1.942390074	4.2824586
0.969546937	1.640060334
2.916260999	-2.101083111
2.804886635	-1.214666919
-1.177267984	-0.637682257
1.442031421	3.978448436
-1.008279712	-10.72567317
1.685048733	-2.101259655
-3.575122053	1.713390308
-3.36169991	-3.88710559
0.544584549	1.583213838
-3.812968258	5.524375994
-0.255478375	1.873810753
2.36107515	-3.052256271
0.231398527	-3.897953357
0.961587017	-0.113383516
-2.766406177	-7.863392352
-1.889330686	1.35133195
-1.722863291	-3.598381738
-0.492311851	2.121311848
-0.378296018	-10.88682204
-0.661148328	-2.919019597
-0.391163065	-1.397866414
-0.147328808	1.201275948
-0.155178326	-6.937555068
-1.410346167	1.17353998
-1.656752775	-0.076365731
-0.498316342	-1.292450094
0.635940123	3.264912799
-2.533052084	-5.68478447
0.066688919	0.019122498
0.010332456	-5.278888259
0.100325395	-2.312827397
-0.159212102	-5.325033478
-1.118768301	7.10070413
-0.360506506	3.182965683
-0.794671339	2.189477739
-1.82637031	0.362991691
0.020284413	3.340000229
2.059692348	3.607943398
1.01468765	-4.729776906
3.219689867	0.120200269
-2.433588329	-6.316271831
-2.372306799	6.823797583
-0.37056341	6.542616296
1.266050442	-1.768356553
0.824592148	-1.649476676
-1.852999286	-4.447415993
-3.161642025	7.304278393
0.442927211	4.086279897
-0.428942112	-1.995853872
-1.310961025	10.55148248
1.014820082	4.342309702
-0.305111502	0.820747831
0.018050147	-0.02219925
-2.696506438	0.779630544
-1.10764417	4.577799942
1.141463332	-2.959278774
0.159323081	-2.907498454
-2.055277082	0.388597756
0.202725995	-1.288827183
-0.3671714	3.788144408
-0.056145558	-4.005747329
-0.897022272	2.955089726
-0.261083776	1.431933215
-0.651847454	4.746211331
-0.339317343	-2.89379125
3.954885606	1.945065692
-2.972657905	-1.090372906
0.291575514	0.548505612
0.387896939	-7.153270644
0.061920658	1.910464401
-4.019270705	5.70114848
2.799936975	-6.495441014
-0.961852566	2.451315442
-0.689420887	6.05434482
-0.528085855	-1.301082342
0.088821319	-14.12580881
-3.596177355	1.600115691
-1.464790191	-14.45720158
0.759085451	5.189001697
-3.392063692	11.41150416
2.383755557	-9.741078015
3.773197159	-8.033645437
0.17271416	-3.083064113
-1.373664483	4.63268051
-0.554515625	2.180441382
-0.616708159	-19.31722406
0.338243237	14.55493563
-4.969501265	1.753334117
-1.459226067	-5.143655248
-3.458393406	-6.606571354
-0.708571911	-6.873940749
-0.967100647	-18.09612055
-2.764883729	-6.553098356
-6.358399349	-19.83898763
-1.216802997	-5.613221572
-7.378604269	19.76716126
6.326253049	5.539571391
2.244553469	-17.73727592
1.064937768	5.112775749
-5.865037234	-1.170409363
-2.548316402	15.46394847
1.936100071	-3.104504085
-0.678052689	-9.306840473
-0.197814711	-1.143217009
-2.763460164	-5.15672845
-0.426954939	-4.144767241
-6.333456722	16.24951853
2.598460922	-0.420879069
0.687911291	9.561730297
5.047098676	0.966510929
-1.221070779	5.538032148
-1.439614033	6.959315205
8.787590818	-12.08226563
-2.386724461	-10.02744433
0.539774275	2.338430654
0.369474032	-2.161762843
-2.149167875	-0.27772769
0.01933409	-12.64200255
1.016870414	11.17846411
-5.485951805	-9.623626657
0.506223899	-5.570543494
-1.934614759	-1.2993576
-0.521110536	-12.88991529
0.055716282	-15.83247655
-3.494650335	7.479555319
-0.275822553	9.995240341
2.610696262	2.868494632
-0.486156759	9.339104123
-0.247611741	2.234894013
1.077841547	7.254333611
1.091540085	-17.90490929
-3.133113963	1.605067053
-0.451612277	3.881734698
0.819605096	-4.591986798
-0.476518511	6.65707929
-0.344000554	5.74510677
2.175325119	-2.04022682
0.390570472	-2.024511127

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69211&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69211&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69211&T=0

As an alternative you can also use a QR Code:  
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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( AsianTres , ArabiaTres )-0.02674291589025250.42734697588172

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( AsianTres , ArabiaTres ) & -0.0267429158902525 & 0.42734697588172 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69211&T=1

[TABLE]
[ROW][C]Kendall tau rank correlations for all pairs of data series[/C][/ROW]
[ROW][C]pair[/C][C]tau[/C][C]p-value[/C][/ROW]
[ROW][C]tau( AsianTres , ArabiaTres )[/C][C]-0.0267429158902525[/C][C]0.42734697588172[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69211&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69211&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( AsianTres , ArabiaTres )-0.02674291589025250.42734697588172


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
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='kendall')
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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'tau',1,TRUE)
a<-table.element(a,'p-value',1,TRUE)
a<-table.row.end(a)
n <- length(y[,1])
n
cor.test(y[1,],y[2,],method='kendall')
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste('tau(',dimnames(t(x))[[2]][i])
dum <- paste(dum,',')
dum <- paste(dum,dimnames(t(x))[[2]][j])
dum <- paste(dum,')')
a<-table.element(a,dum,header=TRUE)
r <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,r$estimate)
a<-table.element(a,r$p.value)
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable.tab')