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Author's title

Author*Unverified author*
R Software Modulerwasp_kendall.wasp
Title produced by softwareKendall tau Rank Correlation
Date of computationFri, 16 Nov 2012 20:34:30 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/16/t13531162266lrvn056ljkmvb5.htm/, Retrieved Sat, 27 Apr 2024 07:15:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=190049, Retrieved Sat, 27 Apr 2024 07:15:34 +0000
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Original text written by user:ccsm4 data 312 values above 0.7 on the y axis of CCSM4 grid pts near KRBL, KFAT, and KBFL. Those points are on a broad topographic slope. x-axis is CCSM4 circ index.
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact79
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Rank Correlation] [Fig_4b_threshold_...] [2012-11-17 01:34:30] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
  1.082865000
  0.644437313
  0.624688327
  0.770448506
  0.430624515
  0.615845799
  0.807498872
 -0.434327185
 -0.466618806
  1.210795999
  0.849368215
  0.117376499
  0.269039392
 -0.315712214
  0.765000701
  0.167473003
 -0.891560674
  0.526283622
  0.361169785
 -0.530831218
  0.516127825
  0.649645329
  0.741123319
  0.526524782
  1.397282004
  0.891824007
 -0.147694707
 -0.203003302
  0.541156173
 -0.612309217
  0.845657289
  0.622067094
 -0.036985829
 -0.324807495
 -0.343737513
 -0.297344506
  0.493509203
  0.271583289
  0.695662320
  0.423554391
  1.177878976
  0.943714201
  0.859306991
  0.588063180
  0.269291610
  0.571875691
  0.747735023
  0.571128488
  0.851792514
  0.599372029
  0.440031290
  0.505180597
  0.304636598
 -0.291285515
  1.039931059
  0.176179394
 -0.863575578
  1.157914042
  0.743818223
  0.435436010
  0.076306343
  0.072800897
  0.749497175
  1.197288990
  1.044247031
  0.235152394
 -0.396227807
 -0.450390100
  1.447455049
  1.045552969
  0.583188891
  0.739389122
  0.942169785
  0.479206800
  1.118536949
  0.009162694
  0.187631205
  2.331273079
  1.894251943
  1.421864033
  2.569134951
  1.977254033
  0.759010971
  0.040592581
  1.111979008
  0.962194800
  0.393120289
  0.124047898
 -0.121294498
 -0.524276972
 -0.587560773
  0.168677106
  0.036047790
  1.004572988
  1.075379014
  1.609822035
  1.535904050
  1.050475001
  0.268454701
 -1.237419009
  1.490061998
  1.342339993
  1.096444964
  0.933663070
  0.141740397
 -0.380573094
 -0.949407101
  1.439954996
  1.509971023
  1.256984949
  1.100736976
  0.814580202
  0.800936699
  0.497896910
 -0.078031600
  0.454578698
  0.997276783
  0.888640285
  0.551810920
 -0.089645818
  0.256097615
  1.395612955
  1.267266989
  1.016193032
  1.295966983
  0.044978440
 -1.219866037
 -1.871281981
  0.770738184
  0.264180690
 -0.024097290
 -0.356599003
 -0.147773996
 -0.444514900
 -0.508075416
 -0.366021514
 -0.294698894
 -0.467869699
 -0.812441409
  1.205016971
  1.167629004
  0.853310823
  1.086359978
  1.627588034
  1.478719950
  1.546497941
  1.537454963
  1.319622993
  1.224622965
  1.274801970
  1.166457057
  0.380773395
 -0.238373101
 -0.041086629
  0.964302182
 -0.947624683
 -2.583934069
  0.791594028
 -0.008034557
 -0.534054816
  0.874333382
  0.750922382
  0.095580727
 -0.056299981
 -0.463298202
  0.541555524
  0.238592505
  1.234467030
  0.765021801
  0.843154788
  0.857327282
  0.963528812
  1.044250965
  1.174728990
  0.491591096
  0.073661119
  1.412106037
  1.998167038
  0.681079924
  0.633878589
  0.675876677
  0.695572615
  0.808346272
  1.385460019
  0.195077598
  1.471698046
  1.613556981
  1.691046000
  0.674664080
  0.739317417
  0.563130617
  0.631735623
  0.774674416
  1.161846042
  1.865183949
  1.930063009
  1.630468965
  1.873411059
  1.065247059
 -0.200909197
  2.440928936
  2.109157085
  0.988271475
  0.232624605
 -0.389149487
  0.082049191
 -0.383519411
  0.526672781
  0.690841675
  0.443512499
  0.313447595
  0.979524374
  0.515816510
  0.509896576
  0.895200074
 -0.021713380
  0.041111950
  0.488306493
  0.664073586
 -1.027081013
  1.894611001
  1.490290999
  1.221040010
  0.992339790
  0.744139791
  0.659941375
  1.313385010
  0.850493193
  1.015501022
  0.701692820
  0.255513489
  1.240201950
  1.408445954
  1.644523978
  1.653674960
  1.189188004
  1.234696031
  1.704671025
  2.203535080
  1.606299996
  1.896010041
  1.527161956
  1.702231050
  1.672577024
  1.197890043
 -0.817907989
  0.690418124
  0.510189712
  1.068410993
  1.259492993
  0.962450385
  0.505717695
  0.351535887
  0.609931171
  0.247917995
  0.364596903
  0.379533708
  0.488216788
  1.059790015
  1.279366970
  1.355607986
  0.467315495
  0.479035795
  0.731189787
  0.347528398
 -0.319087088
  0.122585602
  0.246721402
  0.170447305
  0.146210402
  0.639670491
  0.608326375
 -0.201844901
  0.118568502
  1.439574957
  0.751676917
  0.527386487
  0.326327413
  0.425786614
  0.262511998
 -0.558834314
  1.522611976
  1.006041050
  1.528045058
 -0.443180412
 -0.462563902
  0.426146895
  0.607615471
  0.605521679
 -0.021731080
  0.734983981
  0.846647322
  0.968323171
  0.754011273
  0.790576875
 -0.152892604
  0.706305027
  0.462837905
  0.663918972
  1.267691970
  1.084036946
  1.191280007
  1.114045978
  0.666970670
  0.011455700
  1.229827046
  0.897323489
  0.941759229
  0.444017589
  0.936515689
  1.046097994
 -0.805980980
Dataseries Y:
  1.020755053
  0.878749609
  0.763271093
  0.925268710
  0.871603072
  0.786112487
  0.863788486
  1.223968029
  1.081336379
  1.001468420
  0.719638884
  0.804426491
  0.930492163
  0.802353501
  1.131310105
  1.338320971
  0.820491612
  1.041321158
  1.244273901
  1.200364351
  0.720045269
  1.009651542
  1.190373063
  0.877904058
  0.967951477
  1.046213269
  0.799735188
  0.799804389
  1.049595356
  0.973428547
  0.802961588
  1.010691285
  1.354607701
  1.269901991
  0.842400730
  0.796788990
  0.854205728
  0.768598735
  0.972982943
  0.899539173
  0.959054172
  1.229176641
  1.084162951
  0.795921445
  0.838653684
  0.746347785
  0.907252133
  0.778632879
  0.995015204
  1.163843036
  1.097133160
  0.749207914
  0.881111741
  0.865910351
  0.835723639
  1.120844364
  1.032676101
  0.757944345
  0.726569295
  0.745569050
  0.844470620
  1.077607036
  0.901013315
  0.741865754
  1.137732983
  1.067372680
  0.983935297
  0.780349314
  0.718581438
  0.847802997
  0.754228413
  0.734500945
  0.711610436
  0.771162927
  0.788158238
  0.795412004
  0.732982278
  0.703657389
  0.749514639
  0.883377373
  0.936947048
  1.262306333
  1.527463317
  0.996714950
  0.700299621
  0.766095161
  1.457944036
  1.789564967
  1.695903659
  1.435536027
  0.770007074
  0.837789357
  1.042105556
  0.956986010
  1.058955789
  1.206052899
  1.859192967
  2.137356043
  1.931538701
  1.197405696
  1.234362960
  1.516107678
  1.665578961
  1.686441660
  1.483497977
  1.145743847
  0.732866943
  0.836962581
  1.076655030
  1.286911964
  1.331240058
  1.004528522
  0.743578374
  1.081360102
  0.960629106
  0.913388014
  1.276514053
  1.099963307
  0.866453469
  0.816219449
  0.837563872
  0.772175908
  0.880835474
  0.833756447
  1.341048360
  1.036515594
  0.790548682
  0.721904874
  1.045284152
  0.972840607
  0.747869015
  0.753163755
  0.859532416
  0.893832266
  0.718292594
  0.753662050
  0.840719879
  0.870154083
  0.739348590
  0.846171260
  0.706128597
  0.889828146
  0.901075959
  0.958655119
  1.274159789
  1.487473726
  1.485236287
  1.061579823
  0.955012262
  0.763807118
  0.727286518
  0.985709965
  1.262625933
  1.043656588
  0.847727895
  1.260292649
  1.233675957
  0.816386163
  0.803404808
  0.722439408
  0.882944465
  1.279521585
  1.037817478
  0.736527145
  0.701932013
  0.889464796
  0.784335792
  0.917256594
  1.060716391
  0.879948795
  0.712915540
  1.170168638
  1.372976303
  1.344221711
  1.204304338
  0.887570500
  0.816852212
  1.270689964
  1.227442980
  0.748304605
  0.859091461
  0.980563402
  0.849979997
  0.719688416
  0.713517487
  0.851336956
  1.196272969
  0.926755190
  0.755799949
  1.097706676
  1.232575297
  1.060350657
  0.711731493
  0.843942761
  1.129978418
  1.330952525
  1.600074291
  1.639479995
  1.069514275
  0.963850856
  1.440199971
  1.720745683
  1.815062642
  1.876316309
  1.232071996
  0.753455997
  0.833270371
  0.735194862
  1.118007421
  1.114771843
  0.902083576
  0.910243094
  0.709349632
  0.872142792
  1.114265084
  1.103035331
  0.769030333
  0.778667510
  0.994726777
  0.862347543
  1.488573670
  1.943893313
  1.900081992
  1.501052618
  1.380097032
  1.050658822
  0.867866516
  0.721324146
  0.743625879
  0.932294130
  0.741387427
  0.737875879
  0.865413904
  0.843190312
  1.116367817
  1.188362718
  1.225480676
  1.718848705
  2.120913982
  2.173056364
  0.991106153
  1.447029710
  1.635560036
  1.424124956
  0.950925350
  0.792505920
  0.725545645
  0.751501918
  1.384793043
  1.757295609
  1.635280967
  1.390433669
  1.117236376
  0.831833363
  0.780108392
  0.810242891
  1.187589049
  1.022201300
  0.856048882
  1.138073802
  1.727959991
  1.687919021
  1.146770716
  0.835390210
  0.893872738
  0.947986662
  0.770151973
  0.942694426
  0.935996294
  0.877680361
  1.030230761
  0.897554278
  0.795449376
  0.717318773
  0.945217133
  1.570136309
  1.486366987
  0.738741279
  1.093926668
  1.370531678
  1.235708714
  0.766642392
  0.748379827
  0.759172678
  0.890052676
  0.741231918
  1.114297986
  1.538026333
  1.466626287
  1.144005299
  0.812641978
  1.023299694
  1.347216010
  1.620319963
  1.558344364
  1.010531545
  0.945529103
  0.878115356
  0.727817059
  0.769749701
  0.767868042
  1.076532483
  1.248522997
  1.321807384
  1.217826962
  1.063550711
  1.382015705
  1.224833012
  0.730323255
  1.232885480
  1.205384612
  0.865900993




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190049&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190049&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190049&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 time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Kendall tau Rank Correlation
Kendall tau0.148610770702362
2-sided p-value9.04154076124541e-05
Score7210
Var(Score)3390729.25
Denominator48516

\begin{tabular}{lllllllll}
\hline
Kendall tau Rank Correlation \tabularnewline
Kendall tau & 0.148610770702362 \tabularnewline
2-sided p-value & 9.04154076124541e-05 \tabularnewline
Score & 7210 \tabularnewline
Var(Score) & 3390729.25 \tabularnewline
Denominator & 48516 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190049&T=1

[TABLE]
[ROW][C]Kendall tau Rank Correlation[/C][/ROW]
[ROW][C]Kendall tau[/C][C]0.148610770702362[/C][/ROW]
[ROW][C]2-sided p-value[/C][C]9.04154076124541e-05[/C][/ROW]
[ROW][C]Score[/C][C]7210[/C][/ROW]
[ROW][C]Var(Score)[/C][C]3390729.25[/C][/ROW]
[ROW][C]Denominator[/C][C]48516[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190049&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190049&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 tau0.148610770702362
2-sided p-value9.04154076124541e-05
Score7210
Var(Score)3390729.25
Denominator48516



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')