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Author's title

Author

*The author of this computation has been verified*

R Software Module

Ian.Hollidayrwasp_Pregnancy and cognition.wasp

Title produced by software

Variability

Date of computation

Mon, 02 Nov 2009 06:22:11 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/02/t125716819008ft1apt47gjn50.htm/, Retrieved Sun, 10 Nov 2024 19:25:12 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52584, Retrieved Sun, 10 Nov 2024 19:25:12 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

138

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]
- R  D    [Variability] [shapiroatten] [2009-11-02 13:22:11] [56723b02638827aa4e52dd72a514baa5] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

5
5.4
5.6
5.6
5.4
6
4
4.2
4.6
4.2
4.2
4.666666667
3.6
5
4.6
4
5.8
5.8
4
5.4
4.8
5.8
5.4
4.8
4.6
4.6
4
4
4.8
5
4
5.2
4
4.4
5.6
4.6
2.2
4
4.6
4.2
4
5
5
4.8
5
3.8
4.6
4.2
5
4
5.2
4.8
4.2
5
4.2
4
3.2
6.2
5.6
4.6
5.2
6
4.8
4
4.4
4.4
4.8
4.6
6.4
6
4.2
4
5.2
4.4
4.6
4.8
4.2
4
4.2
4
5
4
5.6
4
5.8
4.4
5.4
4.2
5.2
4.6
5.2
4.4
4.2
4
3.8
5.6

Dataseries Y:

Download CSV

Histogram

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=52584&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=52584&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52584&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 Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Shapiro Test compattenmean
Statistic W	probability	ShapiroWilks Test
0.9589	0.0043

\begin{tabular}{lllllllll}
\hline
Shapiro Test  compattenmean \tabularnewline
Statistic W & probability & ShapiroWilks Test \tabularnewline
0.9589 & 0.0043 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52584&T=1

[TABLE]
[ROW][C]Shapiro Test  compattenmean[/C][/ROW]
[ROW][C]Statistic W[/C][C]probability[/C][C]ShapiroWilks Test[/C][/ROW]
[ROW][C]0.9589[/C][C]0.0043[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52584&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52584&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 compattenmean
Statistic W	probability	ShapiroWilks Test
0.9589	0.0043

Shapiro Test specattenmean
Statistic W	probability	ShapiroWilks Test
0.956	0.0027

\begin{tabular}{lllllllll}
\hline
Shapiro Test  specattenmean \tabularnewline
Statistic W & probability & ShapiroWilks Test \tabularnewline
0.956 & 0.0027 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52584&T=2

[TABLE]
[ROW][C]Shapiro Test  specattenmean[/C][/ROW]
[ROW][C]Statistic W[/C][C]probability[/C][C]ShapiroWilks Test[/C][/ROW]
[ROW][C]0.956[/C][C]0.0027[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52584&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52584&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 specattenmean
Statistic W	probability	ShapiroWilks Test
0.956	0.0027

Correlation Test X-Y
Statistic	Value	probability	Method	alternative
rho	0.7187	0	Spearman's rank correlation rho	two.sided

\begin{tabular}{lllllllll}
\hline
Correlation Test X-Y \tabularnewline
Statistic & Value & probability & Method & alternative \tabularnewline
rho & 0.7187 & 0 & Spearman's rank correlation rho & two.sided \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52584&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]0.7187[/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=52584&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52584&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
Statistic	Value	probability	Method	alternative
rho	0.7187	0	Spearman's rank correlation rho	two.sided

Figure 1

PNG link

Postscript link

PDF link

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')

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Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code