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Author's title

Author*Unverified author*
R Software Modulerwasp_spearman.wasp
Title produced by softwareSpearman Rank Correlation
Date of computationFri, 15 Apr 2016 22:21:41 +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/Apr/15/t14607575444l19w4p0wmwj7et.htm/, Retrieved Sat, 27 Apr 2024 18:08:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=294557, Retrieved Sat, 27 Apr 2024 18:08:42 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spearman Rank Correlation] [Thesis Spearman] [2016-04-15 21:21:41] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
3.8
2.6
3.8
9.3
2
6.5
6.5
6
2.2
3.2
6.3
2.5
3.8
Dataseries Y:
6
3.6
5.8
5.8
3.3
4.1
7.6
6.5
2.8
3.2
5.9
3.1
3.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294557&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294557&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294557&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Spearman Rank Correlation
rho0.759014418554843
2-sided p-value0.00262379779247078
S87.7187516460372

\begin{tabular}{lllllllll}
\hline
Spearman Rank Correlation \tabularnewline
rho & 0.759014418554843 \tabularnewline
2-sided p-value & 0.00262379779247078 \tabularnewline
S & 87.7187516460372 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294557&T=1

[TABLE]
[ROW][C]Spearman Rank Correlation[/C][/ROW]
[ROW][C]rho[/C][C]0.759014418554843[/C][/ROW]
[ROW][C]2-sided p-value[/C][C]0.00262379779247078[/C][/ROW]
[ROW][C]S[/C][C]87.7187516460372[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294557&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294557&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
rho0.759014418554843
2-sided p-value0.00262379779247078
S87.7187516460372



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')