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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 computationSat, 17 Dec 2016 13:26:03 +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/17/t1481977577j3vwtcs8hn2ey9d.htm/, Retrieved Fri, 01 Nov 2024 03:47:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300754, Retrieved Fri, 01 Nov 2024 03:47:57 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact100
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spearman Rank Correlation] [] [2016-12-17 12:26:03] [85f5800284aab30c091766186b093bb4] [Current]
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Dataseries X:
10
13
14
8
8
13
13
9
9
14
14
12
12
11
12
14
8
0
11
9
13
8
13
8
9
8
12
12
13
13
10
12
13
9
10
14
8
10
10
14
8
14
10
13
12
12
9
12
10
3
14
10
9
8
11
10
8
14
12
8
14
13
13
13
12
10
14
11
10
13
8
8
7
7
9
12
13
11
10
14
9
7
9
13
9
15
13
14
8
13
11
8
14
9
14
8
12
13
14
13
4
9
12
10
8
9
8
9
8
12
8
7
8
9
14
12
13
9
13
11
12
11
8
12
9
12
13
9
8
8
8
12
13
7
8
8
13
3
12
15
14
7
11
12
10
14
10
15
11
8
6
12
13
12
9
8
14
7
8
14
12
15
11
8
8
7
12
7
11
Dataseries Y:
10
15
13
13
11
15
12
15
14
12
15
9
15
14
11
11
15
0
12
11
12
8
14
14
14
12
14
13
14
14
8
14
15
3
14
13
12
12
14
13
12
13
10
15
15
5
9
11
12
0
14
15
12
13
15
12
14
12
12
10
11
13
13
13
13
12
10
12
10
13
11
15
9
10
14
10
15
13
10
13
15
12
11
13
15
11
14
14
15
13
12
12
15
12
15
14
14
12
15
15
9
14
15
15
7
13
12
12
15
14
10
11
10
13
11
14
13
13
15
13
11
11
14
15
13
13
13
13
11
14
14
13
15
12
12
12
13
7
12
14
15
15
12
13
13
13
14
15
13
14
12
13
9
11
13
13
11
10
15
14
13
13
15
14
15
14
12
13
11




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=300754&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=300754&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300754&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
rho0.220067591882707
2-sided p-value0.00404056918887031
S627408.826385875

\begin{tabular}{lllllllll}
\hline
Spearman Rank Correlation \tabularnewline
rho & 0.220067591882707 \tabularnewline
2-sided p-value & 0.00404056918887031 \tabularnewline
S & 627408.826385875 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300754&T=1

[TABLE]
[ROW][C]Spearman Rank Correlation[/C][/ROW]
[ROW][C]rho[/C][C]0.220067591882707[/C][/ROW]
[ROW][C]2-sided p-value[/C][C]0.00404056918887031[/C][/ROW]
[ROW][C]S[/C][C]627408.826385875[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300754&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300754&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
rho0.220067591882707
2-sided p-value0.00404056918887031
S627408.826385875



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')