Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_kendall.wasp

Title produced by software

Kendall tau Rank Correlation

Date of computation

Fri, 16 Nov 2012 18:09:58 -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/2012/Nov/16/t1353111029y98sszhnpeze22b.htm/, Retrieved Sat, 27 Apr 2024 12:19:52 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=190046, Retrieved Sat, 27 Apr 2024 12:19:52 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

test

Estimated Impact

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

-       [Kendall tau Rank Correlation] [Fig_4a_threshold_...] [2012-11-16 23:09:58] [d41d8cd98f00b204e9800998ecf8427e] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

  1.281550050
  1.657541037
  1.837273955
  1.579020977
  1.165114999
  0.764370978
  1.027557969
  1.167284012
  0.675940990
 -0.078825153
  0.364149690
  0.670691609
  0.955208778
  1.443887949
  1.663316965
  1.473580956
  0.383897811
  0.489891201
  1.011360049
  0.793543220
  0.650629520
  0.639023483
  0.232643306
  0.601556420
  1.386610031
  1.939975977
  2.462434053
  2.187397003
  1.746379972
  1.457754016
  1.465361953
  0.083974823
 -0.334623992
  0.485247701
  0.804431796
  1.205173016
  1.532302976
  1.320335984
  1.294255018
  0.798635185
  0.350251913
  0.301740110
  0.405218810
  0.672799110
  0.798884690
  0.070980802
  0.782671988
  1.094864011
  0.854870021
  1.418079019
  1.651811957
  1.558884025
  0.382072806
  0.784976780
  1.264179945
  1.417536974
  0.744484127
  1.178864002
  0.658236027
  0.354237586
  0.800994217
  0.895654202
  0.648995817
  0.273829013
  0.665844202
  0.644405484
 -0.148686707
  0.253845006
  0.444515407
  0.301985413
  0.441063702
  0.378020704
  0.546424329
  0.851419389
  1.539960027
  2.083986998
  1.907835007
  1.615319967
  0.473203897
  0.706611514
  0.125003695
  1.025467038
  0.853060722
  1.000069022
  0.909265816
  1.094601989
  0.636659980
  0.331501901
  0.538340211
  0.515745103
  1.122871995
  1.355959058
  1.029263973
  1.271801949
  0.997216821
  0.338285804
  0.771489799
  0.684146225
  0.468868285
  0.758536875
  0.051682960
  0.318409503
  0.172884300
  0.750082910
  0.270364702
  0.828515828
  1.591426969
  0.911641419
  0.735214293
  1.046777010
  0.599251390
 -0.013985810
  0.694938600
  0.558116317
  0.917164803
  1.669770002
  2.142178059
  1.903509021
  1.216686010
  0.894767523
  0.573171020
  0.656996787
  0.558344424
  0.409939706
  0.536183715
  1.328269005
  1.834378958
  1.116803050
  0.852427781
 -0.208073705
  0.521845996
  0.599426091
  0.078701653
  1.294016957
  1.294512987
  0.527093410
  0.954115927
  0.942217290
  1.293058991
  1.164752960
  1.378301024
  1.827236056
  2.297415018
  2.159296036
  1.733134985
  1.443318009
  1.465415001
  2.163383961
  2.842084885
  2.191246986
  1.054731011
  0.199615300
 -0.064520583
  0.675827086
  0.886504889
  0.673160613
  1.202196956
  0.717040122
  1.605260015
  1.679829955
  0.992446482
  1.093513012
  0.784055829
  0.535976887
  0.884750485
  0.692788899
  0.447159588
  1.283980012
  0.785061121
  1.880745053
  1.870442033
  0.570607722
  0.745710313
  0.621815681
  0.947989583
  1.644773960
  1.776945949
  0.640118003
  0.510390401
  1.054317951
  1.019309044
  1.449067950
  1.701804042
  1.844087005
  1.690685987
  1.528434992
  1.472393990
  1.224735975
  1.732172966
  1.858968973
  0.783955693
  0.679935515
  1.317057967
  1.249269962
  0.537392974
  0.384608597
  1.102252960
  1.085994959
  1.711668968
  2.104087114
  2.111418009
  2.219993114
  2.042120934
  1.495391965
  1.432024956
  1.580309033
  1.843073010
  1.570795059
  0.993940890
  1.090312004
  1.165933967
  1.081241012
  0.072863281
 -0.017344709
  1.891839981
  1.768586993
  1.852460027
  1.715116978
  0.871036112
  0.969788671
  1.200374961
  1.714967012
  1.821284056
  1.987730980
  2.106925964
  1.872146010
  1.185984969
  1.004464030
  1.015735984
  1.516456008
  1.651847959
  0.978807092
  1.549636006
  1.239810944
  0.841792226
  1.102458954
  0.426261991
  0.152369902
  0.156314895
  0.225323603
 -0.181312203
  0.610301673
  0.292945087
 -0.131477103
 -0.081271984
  1.250360012
  1.385776997
  0.746388674
  1.457512021
  1.286932945
  1.311370015
  1.399582982
  1.262366056
  1.296720982
  1.123518944
  1.498780012
  1.574357986
  1.530704021
  1.679625034
  1.708155990
  1.010282993
  0.493481904
  1.498098969
  1.055719972
  1.370324016
  0.737792492
  1.658260942
  2.196146011
  2.113562107
  1.400681973
  0.815548301
  0.141289696
  0.449887186
  1.137513995
  1.262138009
  1.091364980
  1.970535994
  1.980604053
  2.038892984
  1.957028031
  1.258942962
  1.123551011
  1.394538999
  1.581969023
  1.617890954
  1.407644033
  0.693100691
  0.788179219
  1.295114994
  1.712795973
  1.707785964
  1.632611990
  2.133246899
  0.879049301
  1.458583951
  1.271201968
  1.129353046
  1.417860031
  1.435744047
  1.388599992
  1.531728029
  1.121791005
  0.602936387
  0.779558301
  1.660812020
  1.350150943
  0.876923800
  1.679363966
  1.785470963
  1.042657971
  1.215422988
  0.886426508
  1.557515025
  0.853956223
  1.377771020
  1.568763018
 -0.062558472
  1.256417036
  0.809913099
  0.872875512
  0.392461896
 -0.004887253
  1.819733024
  1.359629035
  0.742516220
  1.019749999
  0.785341084
  0.966019988
  1.116569042
  1.105411053
  0.741638780
  0.788671792
  0.457662106
  0.037961010
  0.488030106
  0.660758078
  0.714580774
  0.709767222
  0.736732006
  1.508707047
  1.713228941
  0.412768304
  1.185806990
  1.730875015
  1.826871991
  0.088296093
  0.977984607
  0.752883971
  0.290497690
  0.535390019
  2.003051996
  1.957226992
  1.691570044
  1.495162964
  1.228546977
  2.061674118
  1.922536969
  1.385527968
  0.899959683
  1.137603998
  0.719031692
  1.109555960
  0.697905481
  1.184777975
  1.133437037
  1.058413982
  1.109889030
  0.938922584
  0.591554701
  0.683726490
  0.953066885
  1.353436947
  1.259508967
  1.235533953
  0.942735672
  0.719379783
  1.403938055
  1.734083056
  1.424883008
  0.484518111
  1.857329965
  2.210306883
  1.990157962
  2.188680887
  2.095161915

Dataseries Y:

Download CSV

Histogram

  1.523373008
  1.796586990
  1.590878963
  1.281463981
  1.421666026
  1.022205949
  1.051576018
  1.581845045
  1.928753972
  1.728541970
  1.239982009
  1.028854966
  1.693446994
  1.426290989
  1.353080988
  1.435114980
  1.169281960
  1.319401979
  1.279608011
  1.515851021
  1.970010042
  1.598839998
  1.344145060
  1.322520971
  1.644840002
  1.959059000
  1.967988968
  1.752099991
  1.764610052
  1.693747997
  1.623656988
  1.064254045
  1.138120055
  1.282549024
  1.546177983
  1.802302003
  2.003320932
  1.768991947
  1.481845975
  1.552405953
  1.142392993
  1.191283941
  1.280841947
  1.122370005
  1.196815968
  1.025239944
  1.128659010
  1.289921999
  1.083364010
  1.507742047
  1.419247031
  1.991932988
  1.020648956
  1.409649014
  1.057132006
  1.396625042
  1.591356039
  1.748667002
  1.810032010
  1.293902040
  1.577942967
  1.465044975
  1.581560016
  1.611721992
  1.423277020
  1.033452988
  1.250496030
  1.367697954
  1.340381026
  1.393952012
  1.065682054
  1.078585029
  1.095343947
  1.242781997
  2.294656992
  2.315336943
  1.969738960
  1.067734957
  1.232818007
  1.734341979
  1.551663995
  1.150650978
  1.213956952
  1.025357008
  1.158260942
  1.337080956
  1.070935011
  1.007140994
  1.175397992
  1.157405972
  1.511571050
  1.136420965
  1.144250989
  1.173694015
  1.143911958
  1.150547981
  1.023540974
  1.545003057
  1.612609029
  1.308647990
  1.041656017
  1.369593024
  1.015001059
  1.269883990
  1.190623045
  1.145746946
  1.858978033
  1.891847014
  1.477957964
  1.560315013
  1.301753998
  1.015756965
  1.018393993
  1.057494044
  1.216601968
  1.739379048
  1.713997960
  1.524453998
  1.745982051
  1.657966971
  1.318961024
  1.019294977
  1.128371954
  1.060050011
  1.757832050
  1.578336954
  1.156991959
  1.274503946
  1.257897973
  1.004587054
  1.024463058
  1.221495032
  1.155017018
  1.455131054
  1.610581994
  1.084040999
  1.109709978
  1.000324965
  1.663218021
  1.817947984
  1.185335994
  1.249407053
  1.738033056
  1.953122973
  1.528278947
  1.381404996
  1.513036013
  1.911540985
  1.686329007
  1.533295035
  1.154219985
  1.327209949
  1.024258971
  1.031800985
  1.007843018
  1.026697993
  1.053344011
  1.076820970
  1.037397027
  1.776841044
  1.239472985
  1.462476015
  1.132472038
  1.195189953
  1.170933008
  1.341238022
  1.097447038
  1.270928979
  1.054612041
  1.568930984
  1.817782044
  1.292338014
  1.202630997
  1.430899978
  1.043799043
  1.298298001
  1.324447989
  1.091555953
  1.146142006
  1.006255031
  1.047327995
  1.813725948
  1.714470983
  1.204380035
  1.077618003
  1.424363971
  1.212649941
  1.026976943
  1.317402959
  1.621988058
  1.320279002
  1.434530973
  1.629758000
  1.127627969
  1.075477004
  1.199813962
  1.191740990
  1.402958989
  1.543583035
  1.811380982
  1.636175036
  1.827476025
  1.362768054
  1.507617950
  1.417863965
  1.122733951
  1.010311961
  1.197432995
  1.260436058
  1.197677970
  1.081120014
  1.273579955
  1.325330973
  1.030050039
  1.046643972
  1.865229011
  1.799458027
  1.494380951
  1.649369001
  2.011461020
  1.703413010
  1.805472970
  1.717483997
  2.077729940
  2.536668062
  2.108474016
  1.580832005
  1.238106012
  1.019796014
  1.194430947
  1.431287050
  1.260844946
  1.446017027
  1.527191997
  1.273780942
  1.530658007
  1.060819030
  1.089017034
  1.171149015
  1.005434036
  1.001153946
  1.068557024
  1.461673021
  1.270177007
  1.175158024
  1.557173014
  1.637454033
  1.158938050
  1.117403030
  1.592618942
  1.703071952
  1.875169992
  1.009173036
  1.387495995
  1.290573955
  2.185622931
  1.888692021
  1.757035017
  1.846559048
  1.388000011
  1.111435056
  1.411244988
  1.370669007
  1.224341035
  1.490206003
  1.685590982
  1.805582047
  2.014482021
  2.039563894
  1.886461973
  1.483178020
  1.238353014
  1.256731033
  1.417984962
  1.353188992
  1.223618984
  1.050248981
  1.346850038
  1.511841059
  1.303038955
  1.157399058
  1.014768958
  1.071931958
  1.282976985
  1.605630994
  1.512166977
  1.240049005
  1.585296988
  1.415943027
  1.614673018
  1.555176973
  1.884714007
  1.364807963
  1.157194972
  1.510478020
  1.448868990
  1.281281948
  1.210440993
  1.508344054
  1.765761971
  1.800042033
  1.601786971
  1.575536013
  1.094313025
  1.189648032
  1.237020016
  1.006147027
  1.088647008
  1.388733983
  1.632204056
  1.340675950
  1.300053954
  1.511163950
  1.635128021
  1.304162979
  1.520650983
  1.237197042
  1.060471058
  1.043727040
  1.295387030
  1.314573050
  1.603396058
  1.729387045
  1.563189030
  1.305830002
  1.207129002
  1.173200011
  1.055498958
  1.209437013
  1.049998999
  1.063595057
  1.214225054
  1.106127977
  1.000295997
  1.094993949
  1.326053977
  1.304435015
  1.330999017
  1.039944053
  1.242614985
  1.368062019
  1.132624030
  1.470857978
  1.793804049
  1.442828059
  1.068974972
  1.145226955
  1.121158957
  1.085978031
  1.066622019
  1.139778972
  1.158131957
  1.379503012
  1.537593007
  1.552950978
  1.485270023
  1.536252975
  1.571406960
  1.375437021
  1.236546040
  1.306740999
  1.203709960
  1.626019001
  1.765408993
  1.868113041
  1.624479055
  1.091387033
  1.002508044
  1.115288019
  1.318866014
  1.085155010
  1.291730046
  1.131662011
  1.523787022
  1.511350036
  1.153705001
  1.342491031
  1.214344025
  1.104388952
  1.003602982
  1.433997989
  1.914901972
  1.770689011
  1.812319040
  1.678161025

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	'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190046&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190046&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190046&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	'George Udny Yule' @ yule.wessa.net

Kendall tau Rank Correlation
Kendall tau	0.330275982618332
2-sided p-value	0
Score	24414
Var(Score)	6365333.5
Denominator	73920

\begin{tabular}{lllllllll}
\hline
Kendall tau Rank Correlation \tabularnewline
Kendall tau & 0.330275982618332 \tabularnewline
2-sided p-value & 0 \tabularnewline
Score & 24414 \tabularnewline
Var(Score) & 6365333.5 \tabularnewline
Denominator & 73920 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190046&T=1

[TABLE]
[ROW][C]Kendall tau Rank Correlation[/C][/ROW]
[ROW][C]Kendall tau[/C][C]0.330275982618332[/C][/ROW]
[ROW][C]2-sided p-value[/C][C]0[/C][/ROW]
[ROW][C]Score[/C][C]24414[/C][/ROW]
[ROW][C]Var(Score)[/C][C]6365333.5[/C][/ROW]
[ROW][C]Denominator[/C][C]73920[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190046&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190046&T=1

As an alternative you can also use a QR Code:

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

Kendall tau Rank Correlation
Kendall tau	0.330275982618332
2-sided p-value	0
Score	24414
Var(Score)	6365333.5
Denominator	73920

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

Parameters (R input):

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

library('Kendall')
k <- Kendall(x,y)
bitmap(file='test1.png')
par(bg=rgb(0.2,0.4,0.6))
plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab)
grid()
dev.off()
bitmap(file='test2.png')
par(bg=rgb(0.2,0.4,0.6))
plot(rank(x),rank(y),main='Scatterplot of Ranks',xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Kendall tau Rank Correlation',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Kendall tau',header=TRUE)
a<-table.element(a,k$tau)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'2-sided p-value',header=TRUE)
a<-table.element(a,k$sl)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Score',header=TRUE)
a<-table.element(a,k$S)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Var(Score)',header=TRUE)
a<-table.element(a,k$varS)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Denominator',header=TRUE)
a<-table.element(a,k$D)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code