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Author's title

Author*The author of this computation has been verified*
R Software ModuleIan.Hollidayrwasp_Pregnancy and cognition.wasp
Title produced by softwareVariability
Date of computationMon, 02 Nov 2009 06:09:09 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/02/t12571673802auwxy2t3wqotrc.htm/, Retrieved Fri, 03 May 2024 23:40:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52567, Retrieved Fri, 03 May 2024 23:40:20 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variability] [Pregnancy and Cog...] [2009-10-28 21:14:02] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P   [Variability] [Miss] [2009-11-02 11:54:03] [5f1089851b4a8c80374f11242163d001]
-    D    [Variability] [Miss] [2009-11-02 13:03:57] [5f1089851b4a8c80374f11242163d001]
-   P       [Variability] [Miss] [2009-11-02 13:06:04] [5f1089851b4a8c80374f11242163d001]
-    D          [Variability] [Miss] [2009-11-02 13:09:09] [81dc9a410449f1cc5f63ddb979ff6e80] [Current]
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Dataseries X:
2
2.75
3.25
3.25
3.5
3.75
3.8
3.8
3.8
3.8
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4.2
4.2
4.2
4.2
4.2
4.2
4.2
4.25
4.25
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.5
4.5
4.5
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.666666667
4.75
4.75
4.8
4.8
4.8
4.8
4.8
5
5
5
5
5
5
5
5
5
5
5
5.2
5.2
5.2
5.4
5.8
6.4
Dataseries Y:
2.25
2.333333333
2.5
3.2
3.25
3.4
3.6
3.75
3.8
3.8
3.8
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4.2
4.2
4.2
4.2
4.2
4.2
4.2
4.2
4.2
4.2
4.333333333
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.4
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.75
4.75
4.8
4.8
4.8
5
5
5
5
5
5
5.2
5.2
5.2
5.2
5.2
5.25
5.5
5.6
5.8
5.8
5.8
6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52567&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52567&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52567&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'Gwilym Jenkins' @ 72.249.127.135







Shapiro Test compappliedmean
Statistic WprobabilityShapiroWilks Test
0.92260

\begin{tabular}{lllllllll}
\hline
Shapiro Test  compappliedmean \tabularnewline
Statistic W & probability & ShapiroWilks Test \tabularnewline
0.9226 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52567&T=1

[TABLE]
[ROW][C]Shapiro Test  compappliedmean[/C][/ROW]
[ROW][C]Statistic W[/C][C]probability[/C][C]ShapiroWilks Test[/C][/ROW]
[ROW][C]0.9226[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52567&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52567&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 compappliedmean
Statistic WprobabilityShapiroWilks Test
0.92260







Shapiro Test specappliedmean
Statistic WprobabilityShapiroWilks Test
0.92590

\begin{tabular}{lllllllll}
\hline
Shapiro Test  specappliedmean \tabularnewline
Statistic W & probability & ShapiroWilks Test \tabularnewline
0.9259 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52567&T=2

[TABLE]
[ROW][C]Shapiro Test  specappliedmean[/C][/ROW]
[ROW][C]Statistic W[/C][C]probability[/C][C]ShapiroWilks Test[/C][/ROW]
[ROW][C]0.9259[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52567&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52567&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 WprobabilityShapiroWilks Test
0.92590







Correlation Test X-Y
StatisticValueprobabilityMethodalternative
rho0.9910Spearman's rank correlation rhotwo.sided

\begin{tabular}{lllllllll}
\hline
Correlation Test X-Y \tabularnewline
Statistic & Value & probability & Method & alternative \tabularnewline
rho & 0.991 & 0 & Spearman's rank correlation rho & two.sided \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52567&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]0.991[/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=52567&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52567&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
rho0.9910Spearman'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),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,hyperlink('http://www.xycoon.com','ShapiroWilks Test','ShapiroWilks Test'))
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.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),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,hyperlink('http://www.xycoon.com','ShapiroWilks Test','ShapiroWilks Test'))
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.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',3,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')
a<-table.element(a,'alternative')
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')