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Author*The author of this computation has been verified*
R Software Modulerwasp_spearman.wasp
Title produced by softwareSpearman Rank Correlation
Date of computationSun, 18 Dec 2016 21:56:05 +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/Dec/18/t1482095727y7pv62nlm3ztd0a.htm/, Retrieved Wed, 08 May 2024 21:05:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301247, Retrieved Wed, 08 May 2024 21:05:47 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact59
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spearman Rank Correlation] [] [2016-12-18 20:56:05] [df90c754990be6fd2b18fcd529010a59] [Current]
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Dataseries X:
14
19
17
17
15
20
15
19
15
15
19
NA
20
18
15
14
20
NA
16
16
16
10
19
19
16
15
18
17
19
17
NA
19
20
5
19
16
15
16
18
16
15
17
NA
20
19
7
13
16
16
NA
18
18
16
17
19
16
19
13
16
13
12
17
17
17
16
16
14
16
13
16
14
20
12
13
18
14
19
18
14
18
19
15
14
17
19
13
19
18
20
15
15
15
20
15
19
18
18
15
20
17
12
18
19
20
NA
17
15
16
18
18
14
15
12
17
14
18
17
17
20
16
14
15
18
20
17
17
17
17
15
17
18
17
20
15
16
15
18
11
15
18
20
19
14
16
15
17
18
20
17
18
15
16
11
15
18
17
16
12
19
18
15
17
19
18
19
16
16
16
14
Dataseries Y:
3
4
5
4
4
5
5
5
5
5
5
4
4
4
4
5
4
NA
4
5
4
4
4
4
5
5
4
4
5
5
3
5
4
5
4
5
4
4
4
5
4
5
3
5
4
5
5
4
3
NA
5
5
4
3
4
4
4
4
4
4
5
4
4
4
4
4
5
4
4
4
4
4
3
4
4
4
5
4
4
5
5
3
5
4
5
5
5
5
4
4
2
4
5
5
5
4
4
4
5
4
NA
5
4
4
4
5
4
5
4
4
4
3
4
3
5
4
4
5
4
4
4
4
4
4
5
4
4
5
4
4
3
4
4
4
3
4
5
3
4
5
5
4
4
4
3
5
4
5
4
4
3
4
4
4
3
4
5
3
4
5
4
5
4
4
4
4
4
3
4




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301247&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]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=301247&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301247&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 time1 seconds
R ServerBig Analytics Cloud Computing Center







Spearman Rank Correlation
rho0.168062173407512
2-sided p-value0.0325372544252729
S589478.6983482

\begin{tabular}{lllllllll}
\hline
Spearman Rank Correlation \tabularnewline
rho & 0.168062173407512 \tabularnewline
2-sided p-value & 0.0325372544252729 \tabularnewline
S & 589478.6983482 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301247&T=1

[TABLE]
[ROW][C]Spearman Rank Correlation[/C][/ROW]
[ROW][C]rho[/C][C]0.168062173407512[/C][/ROW]
[ROW][C]2-sided p-value[/C][C]0.0325372544252729[/C][/ROW]
[ROW][C]S[/C][C]589478.6983482[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301247&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301247&T=1

As an alternative you can also use a QR Code:  

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

Spearman Rank Correlation
rho0.168062173407512
2-sided p-value0.0325372544252729
S589478.6983482



Parameters (Session):
par1 = blue ; par2 = no ;
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')