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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_Pregnancy and cognition.wasp
Title produced by softwareCorrelation
Date of computationTue, 01 Nov 2011 10:47:33 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/01/t1320158879bogmy9lyn11rbfx.htm/, Retrieved Thu, 28 Mar 2024 20:47:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=138897, Retrieved Thu, 28 Mar 2024 20:47:56 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variability] [Pregnancy and Cog...] [2009-10-24 23:53:36] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD  [Correlation] [Cognition in Preg...] [2011-10-24 17:01:26] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R PD      [Correlation] [specattenmean+spe...] [2011-11-01 14:47:33] [3b814a39bd96aca377cd640ac3a5a4ff] [Current]
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Dataseries X:
4.8
4.2
4.6
4.8
4.6
6.2
4.4
4.2
4
4.2
4.4
5.2
3.8
5.2
4.6
4.2
5.4
4.6
4.4
5
4.8
6.2
5.2
4.6
4.6
4.2
4
4.6
4.6
5
4.6
5.6
4
3.8
5.8
4.2
3.4
3.8
4.8
4.2
4
5
5
4.6
5
3.8
5
4.8
5
4.2
4.8
4.6
5
5
4
4
3.2
5.2
4.6
3.6
4.8
4.8
4.8
4
5
4.4
5.2
4
5.6
7
4.2
4
5.2
4.2
4.6
4.8
4.8
4
4.4
4
4.6
4.2
4
3.8
6
5
5.4
4.2
5.4
5.6
5.2
4.4
4.4
4.2
4
4.2
Dataseries Y:
4.6
4
4.8
4
5
5
4
4
4.4
4
4
5
3.8
4.6
4
4.6
4.6666666667
4
4
4.4
4.8
5.8
4.6
4.75
5
2.75
4
3.8
4.4
4.8
4.25
4.4
4
4.5
5
3.5
2
4.4
4.4
4.25
3.25
4.2
4.75
4.4
4
4.2
5
4.6
4.4
4
4.4
4.5
5.2
4.4
3.25
4.6
3.75
5
3.8
4
5.4
5
5
4.2
4.4
4
4.6
4.2
5.2
6.4
4
4
5
4
4.2
4
4
4
4
4
4.2
4
4
4
5.2
4.2
4.8
4
4.8
5
4.6
4
4.4
4
3.8
4.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=138897&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=138897&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=138897&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'AstonUniversity' @ aston.wessa.net







Shapiro Test (specattenmean)
Statistic WProbabilityLink
0.9560.0027Shapiro-Wilk Test

\begin{tabular}{lllllllll}
\hline
Shapiro Test (specattenmean) \tabularnewline
Statistic W & Probability & Link \tabularnewline
0.956 & 0.0027 & Shapiro-Wilk Test \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=138897&T=1

[TABLE]
[ROW][C]Shapiro Test (specattenmean)[/C][/ROW]
[ROW][C]Statistic W[/C][C]Probability[/C][C]Link[/C][/ROW]
[ROW][C]0.956[/C][C]0.0027[/C][C]Shapiro-Wilk Test[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=138897&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=138897&T=1

As an alternative you can also use a QR Code:  

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

Shapiro Test (specattenmean)
Statistic WProbabilityLink
0.9560.0027Shapiro-Wilk Test







Shapiro Test (specappliedmean)
Statistic WprobabilityLink
0.92260Shapiro-Wilk Test

\begin{tabular}{lllllllll}
\hline
Shapiro Test (specappliedmean) \tabularnewline
Statistic W & probability & Link \tabularnewline
0.9226 & 0 & Shapiro-Wilk Test \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=138897&T=2

[TABLE]
[ROW][C]Shapiro Test (specappliedmean)[/C][/ROW]
[ROW][C]Statistic W[/C][C]probability[/C][C]Link[/C][/ROW]
[ROW][C]0.9226[/C][C]0[/C][C]Shapiro-Wilk Test[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=138897&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=138897&T=2

As an alternative you can also use a QR Code:  

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

Shapiro Test (specappliedmean)
Statistic WprobabilityLink
0.92260Shapiro-Wilk Test







Correlation Test X-Y
StatisticValueprobabilityMethodalternative
rho0.69250Spearman's rank correlation rhotwo.sided

\begin{tabular}{lllllllll}
\hline
Correlation Test X-Y \tabularnewline
Statistic & Value & probability & Method & alternative \tabularnewline
rho & 0.6925 & 0 & Spearman's rank correlation rho & two.sided \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=138897&T=3

[TABLE]
[ROW][C]Correlation Test X-Y[/C][/ROW]
[ROW][C]Statistic[/C][C]Value[/C][C]probability[/C][C]Method[/C][C]alternative[/C][/ROW]
[ROW][C]rho[/C][C]0.6925[/C][C]0[/C][C]Spearman's rank correlation rho[/C][C]two.sided[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=138897&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=138897&T=3

As an alternative you can also use a QR Code:  

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

Correlation Test X-Y
StatisticValueprobabilityMethodalternative
rho0.69250Spearman's rank correlation rhotwo.sided



Parameters (Session):
par1 = spearman ; par2 = two.sided ;
Parameters (R input):
par1 = spearman ; par2 = two.sided ;
R code (references can be found in the software module):
bitmap(file='test1.png')
plot(x,y, xlab=xlab, ylab=ylab)
abline(coef=(lm(y ~ x))$coeff, col='red')
ctp<-cor.test(x, y, use='pair', method='pearson')
legend('bottomright', c('cor =', as.character(round(ctp$estimate, digits=4))))
dev.off()
(sw1<-shapiro.test(x))
(sw2<-shapiro.test(y))
(cxy<-cor.test(x, y, method=par1))
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Shapiro Test (', xlab,')',sep=''),3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic W',header=TRUE)
a<-table.element(a,'Probability',header=TRUE)
a<-table.element(a,'Link',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,round(sw1$statistic, digits=4))
a<-table.element(a,round(sw1$p.value, digits=4))
a<-table.element(a,hyperlink('http://en.wikipedia.org/wiki/Shapiro%E2%80%93Wilk_test','Shapiro-Wilk Test','Shapiro-Wilk Test'))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, paste('Shapiro Test (', ylab,')',sep=''),3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic W',header=TRUE)
a<-table.element(a,'probability',header=TRUE)
a<-table.element(a,'Link',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,round(sw2$statistic, digits=4))
a<-table.element(a,round(sw2$p.value, digits=4))
a<-table.element(a,hyperlink('http://en.wikipedia.org/wiki/Shapiro%E2%80%93Wilk_test','Shapiro-Wilk Test','Shapiro-Wilk Test'))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlation Test X-Y',5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.element(a,'probability',header=TRUE)
a<-table.element(a,'Method',header=TRUE)
a<-table.element(a,'alternative',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,names(cxy$estimate))
a<-table.element(a,round(cxy$estimate, digits=4))
a<-table.element(a,round(cxy$p.value, digits=4))
a<-table.element(a,cxy$method)
a<-table.element(a,cxy$alternative)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')