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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 computationThu, 01 Dec 2016 12:15:43 +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/01/t14805909498xh8fuszoe8hmxo.htm/, Retrieved Thu, 02 May 2024 05:52:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297526, Retrieved Thu, 02 May 2024 05:52:12 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spearman Rank Correlation] [] [2016-12-01 11:15:43] [94ac3c9a028ddd47e8862e80eac9f626] [Current]
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Dataseries X:
15
13
14
13
12
17
12
13
13
16
12
12
13
16
15
12
NA
NA
15
12
15
11
13
13
14
14
14
15
16
16
16
13
13
14
13
14
12
17
14
15
13
14
15
19
14
13
12
NA
14
15
15
12
14
11
12
10
NA
14
14
15
15
13
15
16
12
17
15
NA
12
16
15
15
12
13
10
14
11
12
14
12
14
12
13
13
14
12
15
13
13
11
12
16
11
13
12
17
14
15
8
13
13
15
14
13
14
12
19
15
14
14
15
13
15
14
11
17
13
9
12
13
17
14
13
16
14
14
14
10
12
13
14
18
14
14
13
13
16
NA
13
14
8
13
13
16
14
13
14
12
16
18
16
15
18
15
14
14
15
9
17
11
15
NA
15
13
NA
15
15
14
13
Dataseries Y:
13
16
17
NA
NA
16
NA
NA
NA
17
17
15
16
14
16
17
NA
NA
NA
NA
16
NA
16
NA
NA
NA
16
15
16
16
13
15
17
NA
13
17
NA
14
14
18
NA
17
13
16
15
15
NA
15
13
NA
17
NA
NA
11
14
13
NA
17
16
NA
17
16
16
16
15
12
17
14
14
16
NA
NA
NA
NA
NA
15
16
14
15
17
NA
10
NA
17
NA
20
17
18
NA
17
14
NA
17
NA
17
NA
16
18
18
16
NA
NA
15
13
NA
NA
NA
NA
NA
16
NA
NA
NA
12
NA
16
16
NA
16
14
15
14
NA
15
NA
15
16
NA
NA
NA
11
NA
18
NA
11
NA
18
NA
15
19
17
NA
14
NA
13
17
14
19
14
NA
NA
16
16
15
12
NA
17
NA
NA
18
15
18
15
NA
NA
NA
16
NA
16




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=297526&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=297526&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297526&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







Spearman Rank Correlation
rho-0.0635859519529566
2-sided p-value0.529675349424958
S177246.59889296

\begin{tabular}{lllllllll}
\hline
Spearman Rank Correlation \tabularnewline
rho & -0.0635859519529566 \tabularnewline
2-sided p-value & 0.529675349424958 \tabularnewline
S & 177246.59889296 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297526&T=1

[TABLE]
[ROW][C]Spearman Rank Correlation[/C][/ROW]
[ROW][C]rho[/C][C]-0.0635859519529566[/C][/ROW]
[ROW][C]2-sided p-value[/C][C]0.529675349424958[/C][/ROW]
[ROW][C]S[/C][C]177246.59889296[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297526&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297526&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
rho-0.0635859519529566
2-sided p-value0.529675349424958
S177246.59889296



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')