FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_kendall.wasp
Title produced by softwareKendall tau Rank Correlation
Date of computationMon, 10 Jul 2017 17:59:20 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Jul/10/t1499706076p5eac7qcolmcwxf.htm/, Retrieved Thu, 22 Oct 2026 19:14:24 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Thu, 22 Oct 2026 19:14:24 +0200
QR Codes:

Original text written by user:Real Minimum Wage = Indexed buying power of the minimum wage prevailing in a given year.
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.25
0.3
0.3
0.3
0.3
0.3
0.3
0.4
0.4
0.4
0.4
0.75
0.75
0.75
0.75
0.75
0.75
1
1
1
1
1
1
1.15
1.15
1.25
1.25
1.25
1.4
1.6
1.6
1.6
1.6
1.6
1.6
2
2.1
2.3
2.3
2.65
2.9
3.1
3.35
3.35
3.35
3.35
3.35
3.35
3.35
3.35
3.35
3.8
4.25
4.25
4.25
4.25
4.25
4.25
4.75
5.15
5.15
5.15
5.15
5.15
5.15
5.15
5.15
5.15
5.15
5.85
6.55
7.25
7.25
7.25
7.25
7.25
7.25
7.25
7.25
Dataseries Y:
Download CSV
Histogram 
0.007142857
0.008695652
0.008450704
0.008450704
0.008219178
0.008275862
0.008053691
0.010457516
0.009302326
0.00952381
0.009876543
0.01863354
0.01875
0.019379845
0.021126761
0.021276596
0.021337127
0.028409091
0.028368794
0.028368794
0.028368794
0.02739726
0.028169014
0.032531825
0.032624113
0.035360679
0.035211268
0.035310734
0.03943662
0.036781609
0.03902439
0.041131105
0.035874439
0.025062657
0.015026296
0.010883169
0.015076459
0.017193691
0.014276847
0.012734262
0.006318083
0.00521096
0.008375
0.007494407
0.008815789
0.010876623
0.010244648
0.008569967
0.00688592
0.008167744
0.008354115
0.009839461
0.012034546
0.012762763
0.010848756
0.011089367
0.010981912
0.011517615
0.01654764
0.017838587
0.017743325
0.018888685
0.018625678
0.015025529
0.01234272
0.011822773
0.010038986
0.008101306
0.006156605
0.006726071
0.006022989
0.005104735
0.004735467
0.004356971
0.006019095
0.006045445
0.006839623
0.005410448
0.005809295

Tables (Output of Computation)





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

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Kendall tau Rank Correlation
Kendall tau-0.23825740814209
2-sided p-value0.00258333026431501
Score-710
Var(Score)55357.58984375
Denominator2979.97021484375

\begin{tabular}{lllllllll}
\hline
Kendall tau Rank Correlation \tabularnewline
Kendall tau & -0.23825740814209 \tabularnewline
2-sided p-value & 0.00258333026431501 \tabularnewline
Score & -710 \tabularnewline
Var(Score) & 55357.58984375 \tabularnewline
Denominator & 2979.97021484375 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Kendall tau Rank Correlation[/C][/ROW]
[ROW][C]Kendall tau[/C][C]-0.23825740814209[/C][/ROW]
[ROW][C]2-sided p-value[/C][C]0.00258333026431501[/C][/ROW]
[ROW][C]Score[/C][C]-710[/C][/ROW]
[ROW][C]Var(Score)[/C][C]55357.58984375[/C][/ROW]
[ROW][C]Denominator[/C][C]2979.97021484375[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 Correlation
Kendall tau-0.23825740814209
2-sided p-value0.00258333026431501
Score-710
Var(Score)55357.58984375
Denominator2979.97021484375


Figures (Output of Computation)

Input Parameters & R Code

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')