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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_spearman.wasp
Title produced by softwareSpearman Rank Correlation
Date of computationThu, 21 Sep 2017 02:26:59 +0200
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/Sep/21/t1505955214ab6ynhu6lhuxojr.htm/, Retrieved Wed, 15 May 2024 10:07:19 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 10:07:19 +0200
QR Codes:

Original text written by user:
IsPrivate?This computation is private
User-defined keywordsest anv
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
52
54
62
63
71
73
76
77
85
86
87
98
Dataseries Y:
Download CSV
Histogram 
61
53
45
71
62
85
88
89
88
89
91
87

Tables (Output of Computation)





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=&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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=0

As an alternative you can also use a QR Code:  
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
rho0.842110446987005
2-sided p-value0.000589078433151862
S45.1564121617166

\begin{tabular}{lllllllll}
\hline
Spearman Rank Correlation \tabularnewline
rho & 0.842110446987005 \tabularnewline
2-sided p-value & 0.000589078433151862 \tabularnewline
S & 45.1564121617166 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Spearman Rank Correlation[/C][/ROW]
[ROW][C]rho[/C][C]0.842110446987005[/C][/ROW]
[ROW][C]2-sided p-value[/C][C]0.000589078433151862[/C][/ROW]
[ROW][C]S[/C][C]45.1564121617166[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Spearman Rank Correlation
rho0.842110446987005
2-sided p-value0.000589078433151862
S45.1564121617166


Figures (Output of Computation)

Input Parameters & R Code

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')