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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 computationWed, 13 Dec 2017 13:14:00 +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/2017/Dec/13/t1513167308c1rw76g0gtxufoe.htm/, Retrieved Wed, 15 May 2024 14:49:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=309265, Retrieved Wed, 15 May 2024 14:49:31 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsNooit rokers- nooit drinkers
Estimated Impact79
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spearman Rank Correlation] [Spearman Rank Cor...] [2017-12-13 12:14:00] [b82f6da091e23ce43bd450aeb8fc9f66] [Current]
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Dataseries X:
12,2
8,8
15,6
70,5
17,5
6,3
9,2
9,3
8,6
6,6
7,8
11
53,7
8,3
6
7,4
10,7
50,4
11,4
54,5
7,8
11,9
9,6
3,2
6,9
7,8
14
8,5
12,6
14,6
11,3
37,3
35
41,8
20
10
7,5
3,6
2,8
29
19,9
16,6
13,3
8,5
7
10,8
19,8
13,9
10,1
9,3
Dataseries Y:
47.5
42.2
52.7
94.9
74.8
58.6
47.5
45.3
43.4
29.8
32.4
41.1
89.9
43.5
53.5
33.9
39.5
85.1
54.8
91.1
66.8
39.2
45.4
55
34.4
34.1
47.7
45.8
44.7
43.9
45.2
61.4
58
68.1
34.6
35.7
39.8
46.9
52.5
45
48
42.6
47.1
48.1
49.9
44.9
41.5
48.3
48.1
52.1




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309265&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]2 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=309265&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309265&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 time2 seconds
R ServerBig Analytics Cloud Computing Center







Spearman Rank Correlation
rho0.337952069183162
2-sided p-value0.0163801689353522
S13787.1481592606

\begin{tabular}{lllllllll}
\hline
Spearman Rank Correlation \tabularnewline
rho & 0.337952069183162 \tabularnewline
2-sided p-value & 0.0163801689353522 \tabularnewline
S & 13787.1481592606 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309265&T=1

[TABLE]
[ROW][C]Spearman Rank Correlation[/C][/ROW]
[ROW][C]rho[/C][C]0.337952069183162[/C][/ROW]
[ROW][C]2-sided p-value[/C][C]0.0163801689353522[/C][/ROW]
[ROW][C]S[/C][C]13787.1481592606[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309265&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309265&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
rho0.337952069183162
2-sided p-value0.0163801689353522
S13787.1481592606



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')