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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 21:38:42 +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/t1482007134xsos8ln6bj2ebdw.htm/, Retrieved Thu, 02 May 2024 03:57:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300945, Retrieved Thu, 02 May 2024 03:57:39 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact61
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spearman Rank Correlation] [] [2016-12-17 20:38:42] [cf891dd8f76140334edd84f5996aae27] [Current]
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Dataseries X:
17
NA
12
13
16
15
14
15
13
12
13
14
18
19
15
14
13
NA
NA
17
NA
NA
12
12
12
NA
14
15
13
14
16
16
15
15
16
16
17
16
11
15
15
11
13
13
17
13
12
17
16
18
12
15
15
15
14
17
15
NA
NA
16
12
10
15
NA
14
14
13
17
16
16
16
17
NA
16
13
17
12
18
15
12
13
13
13
NA
17
15
16
14
18
16
14
12
14
9
14
17
15
15
20
12
14
16
18
10
13
16
17
16
17
NA
18
15
14
15
NA
16
12
19
17
14
13
14
14
17
NA
15
16
17
13
15
10
18
16
16
14
NA
13
NA
13
14
17
13
14
18
12
14
8
16
13
16
11
15
NA
14
13
17
13
18
16
NA
16
15
14
15
16
12
19
15
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=300945&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=300945&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300945&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-0.0285168500399722
2-sided p-value0.784978285093696
S142362.159798283

\begin{tabular}{lllllllll}
\hline
Spearman Rank Correlation \tabularnewline
rho & -0.0285168500399722 \tabularnewline
2-sided p-value & 0.784978285093696 \tabularnewline
S & 142362.159798283 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300945&T=1

[TABLE]
[ROW][C]Spearman Rank Correlation[/C][/ROW]
[ROW][C]rho[/C][C]-0.0285168500399722[/C][/ROW]
[ROW][C]2-sided p-value[/C][C]0.784978285093696[/C][/ROW]
[ROW][C]S[/C][C]142362.159798283[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300945&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300945&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-0.0285168500399722
2-sided p-value0.784978285093696
S142362.159798283



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = FALSE ;
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')