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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_spearman.wasp
Title produced by softwareSpearman Rank Correlation
Date of computationWed, 30 Nov 2016 09:54:55 +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/2016/Nov/30/t1480496145xn2pyo6z5k3axyn.htm/, Retrieved Sun, 19 May 2024 01:54:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297301, Retrieved Sun, 19 May 2024 01:54:15 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Skewness and Kurtosis Test] [Skewness en Kurto...] [2016-11-30 08:37:25] [10ae27f6d7b0f6b56f45e5b81da3e746]
- RMPD  [Testing Mean with unknown Variance - Critical Value] [Mean (unknown Var...] [2016-11-30 08:43:05] [10ae27f6d7b0f6b56f45e5b81da3e746]
- RMPD      [Spearman Rank Correlation] [Spearman Rank Cor...] [2016-11-30 08:54:55] [91a2d2e3a8f29fb0efa908e7b0fd845e] [Current]
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Dataseries X:
2	2	3	4
4	2	1	4
4	2	5	4
4	3	4	4
3	4	3	3
4	3	2	5
1	4	4	4
4	2	5	4
3	NA	5	2
4	4	3	4
2	2	2	4
4	2	2	3
4	5	4	3
5	4	4	4
4	2	4	4
1	3	5	4
2	1	2	5
4	1	NA	NA
4	3	2	4
5	4	4	4
5	5	4	4
4	5	4	4
1	1	5	4
4	4	3	4
2	2	4	4
4	4	3	4
5	4	3	3
3	3	3	3
5	4	5	5
3	2	4	4
5	2	4	4
2	4	3	4
1	2	3	4
NA	4	5	1
4	2	3	3
4	4	3	4
3	3	3	4
5	3	5	5
4	4	3	4
NA	2	3	4
4	3	3	4
2	2	4	3
3	4	3	4
1	2	1	5
3	2	4	4
3	3	4	3
3	3	3	3
4	NA	4	5
4	4	4	4
4	5	5	1
4	4	4	4
4	4	4	4
2	4	3	4
5	2	2	4
3	2	4	3
3	1	3	4
4	3	3	3
4	4	3	4
4	3	4	2
3	3	4	4
4	2	3	4
4	3	4	4
4	2	5	3
4	4	2	4
4	3	3	3
2	2	3	4
4	4	3	3
4	5	4	4
4	4	3	4
4	3	4	4
4	2	3	4
5	3	1	3
3	4	4	3
2	4	3	2
4	4	2	4
5	5	3	5
4	4	3	4
5	4	4	5
5	4	5	2
2	3	3	4
4	2	4	4
4	4	2	4
4	4	2	4
3	4	2	5
4	2	3	4
2	2	4	4
5	1	3	4
3	NA	5	4
4	4	4	1
2	4	4	4
4	4	3	4
3	3	4	3
3	4	3	4
4	4	5	4
4	4	4	3
4	2	4	3
3	4	3	4
4	4	4	5
3	1	1	3
3	4	4	4
1	2	4	3
4	3	4	4
3	3	4	5
3	4	4	3
5	3	3	4
5	4	5	4
4	4	3	NA
5	4	5	5
4	4	4	4
4	5	4	4
4	5	4	5
4	2	4	3
3	1	3	3
4	3	4	3
3	3	3	4
4	1	3	4
2	4	3	4
1	4	3	4
5	2	2	4
4	4	4	4
3	3	3	3
4	4	2	4
4	4	4	5
4	2	4	4
4	2	3	3
2	4	4	4
4	4	5	4
4	2	4	3
4	2	NA	3
4	2	4	4
3	2	4	2
4	5	4	4
5	2	5	3
2	NA	2	4
5	2	4	4
4	4	4	4
3	5	5	4
NA	4	4	3
2	4	4	2
2	3	5	5
2	3	2	3
4	1	4	4
4	4	5	4
5	5	3	4
3	4	4	5
3	4	4	4
4	5	3	4
4	4	5	3
4	5	5	1
4	5	3	4
4	3	2	5
4	5	4	4
4	1	5	4
2	3	3	4
5	2	3	5
4	2	4	4
4	NA	3	4
4	4	2	4
4	2	3	4
4	5	3	4
2	4	4	3
3	5	1	5
3	3	4	3
4	2	3	4
4	4	3	4
4	2	2	5
4	3	3	4
3	3	3	4
3	2	5	2
Dataseries Y:
4	3	3	3
5	4	4	3
4	5	5	3
NA	4	4	3
NA	4	4	4
5	3	5	3
5	3	5	NA
NA	4	5	3
NA	4	5	4
5	4	5	3
5	4	5	3
4	4	4	3
4	4	4	4
4	3	4	3
4	4	4	4
5	4	5	3
NA	4	4	4
NA	NA	NA	NA
3	4	4	NA
NA	4	5	4
5	4	4	3
NA	4	4	3
5	4	4	3
NA	4	4	3
NA	4	5	4
NA	3	5	3
4	4	4	4
4	4	4	3
4	4	5	3
4	4	5	3
3	4	3	3
4	3	5	3
5	4	4	4
NA	4	5	2
4	2	4	3
5	4	5	3
NA	4	4	3
3	3	4	4
2	4	4	4
5	4	5	4
NA	4	4	3
5	4	5	3
4	3	3	3
4	4	5	3
4	4	4	3
3	4	5	3
NA	4	5	3
4	4	4	3
3	4	3	3
NA	3	NA	NA
5	4	5	3
NA	5	5	3
NA	5	4	4
2	3	3	3
3	4	4	3
2	4	4	3
NA	4	4	3
5	5	4	3
4	4	4	4
NA	4	4	3
5	4	5	3
5	4	4	3
4	5	4	3
5	4	4	3
4	4	4	3
4	2	4	2
5	4	5	3
3	4	4	3
2	4	4	4
5	4	4	3
NA	4	4	3
NA	4	4	3
NA	4	3	3
NA	3	4	3
NA	5	4	4
4	4	4	3
5	3	5	3
3	4	4	3
2	4	4	5
5	4	5	3
NA	4	5	3
1	3	3	3
NA	4	5	3
5	4	4	4
NA	4	5	4
5	5	5	5
4	4	5	4
5	4	5	4
NA	4	4	3
5	4	4	4
5	4	2	3
NA	4	4	3
4	5	5	3
NA	4	5	3
4	5	5	3
NA	4	4	3
4	4	4	4
4	5	4	5
5	4	5	4
5	4	4	3
NA	4	NA	NA
NA	4	5	4
4	4	4	3
2	4	4	3
NA	4	4	3
NA	4	5	4
NA	4	4	4
NA	4	5	3
NA	4	4	3
4	4	4	4
NA	4	4	4
NA	4	3	3
NA	4	4	3
3	3	3	3
5	4	5	NA
4	4	4	4
5	4	4	3
NA	4	5	4
5	4	4	3
3	4	4	3
4	4	4	3
3	4	4	3
NA	4	4	4
4	4	4	3
NA	4	5	4
4	4	4	3
5	4	4	3
NA	4	5	3
NA	4	4	3
NA	4	4	3
2	3	3	3
4	4	4	NA
4	5	4	5
NA	3	4	3
2	3	3	3
NA	4	4	NA
4	4	5	5
NA	NA	3	NA
4	4	4	3
5	5	5	4
4	5	5	3
NA	3	4	3
3	4	4	3
4	4	4	NA
3	4	3	3
4	5	5	3
2	4	4	4
5	5	5	4
4	3	4	3
NA	4	4	4
NA	3	3	3
4	4	4	4
5	4	4	3
4	4	4	3
2	4	3	3
NA	4	4	3
5	4	5	3
NA	4	3	3
NA	4	4	3
5	4	5	4
4	4	4	3
5	5	5	3
3	4	4	4
NA	4	4	3
4	NA	4	4
NA	3	4	3
4	4	4	4
NA	4	3	3
3	4	4	5




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297301&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=297301&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297301&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 Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
k <- cor.test(x,y,method='spearman')
bitmap(file='test1.png')
plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab)
grid()
dev.off()
bitmap(file='test2.png')
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,'Spearman Rank Correlation',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'rho',header=TRUE)
a<-table.element(a,k$estimate)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'2-sided p-value',header=TRUE)
a<-table.element(a,k$p.value)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'S',header=TRUE)
a<-table.element(a,k$statistic)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')