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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

Wed, 28 Oct 2009 15:14:02 -0600

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/Oct/28/t1256764547igtr7ht2kx9t60q.htm/, Retrieved Sun, 28 Apr 2024 08:57:52 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51840, Retrieved Sun, 28 Apr 2024 08:57:52 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Pregnancy and Cognition dataset. Wrokshop 4 PY2224 Aston University

Estimated Impact

544

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] [a9208f4f8d3b118336aae915785f2bd9] [Current]
-         [Variability] [compendium 4 ] [2009-10-28 21:48:58] [f1ef06f47321aa4b8d61127511b90b62] 
-    D    [Variability] [compendium 4] [2009-10-28 21:54:04] [f1ef06f47321aa4b8d61127511b90b62] 
-    D    [Variability] [compendium 4] [2009-10-28 21:57:40] [f1ef06f47321aa4b8d61127511b90b62] 
-    D    [Variability] [wk 4 wshop memory...] [2009-10-29 00:59:50] [c519646407a489a26f129bdc22b2e203] 
-    D    [Variability] [wk 4 wshop applie...] [2009-10-29 01:07:26] [c519646407a489a26f129bdc22b2e203] 
-         [Variability] [wk 4 wshop memo pair] [2009-10-29 01:12:03] [c519646407a489a26f129bdc22b2e203] 
-    D    [Variability] [wk 4 wshop atten ...] [2009-10-29 01:15:22] [c519646407a489a26f129bdc22b2e203] 
- RMPD    [Kendall tau Correlation Matrix] [example] [2009-10-29 10:35:55] [b98453cac15ba1066b407e146608df68] 
-         [Variability] [4] [2009-10-29 12:18:11] [7ee8584ae92dbbc2a823887b8397aaa8] 
-   P     [Variability] [week 4 excercise ...] [2009-10-29 12:24:04] [a2ec18f77143ca7c2255feafca790c81] 
-   P       [Variability] [week 4 excercise ...] [2009-10-29 12:28:38] [a2ec18f77143ca7c2255feafca790c81] 
-             [Variability] [week 4 excercise ...] [2009-10-29 17:36:31] [a2ec18f77143ca7c2255feafca790c81] 
-    D          [Variability] [week 4 excercise ...] [2009-10-29 17:40:11] [a2ec18f77143ca7c2255feafca790c81] 
-    D            [Variability] [week 4 excercise ...] [2009-10-29 17:42:52] [a2ec18f77143ca7c2255feafca790c81] 
-   P     [Variability] [4] [2009-10-29 12:22:59] [7ee8584ae92dbbc2a823887b8397aaa8] 
-    D    [Variability] [meanvariables] [2009-10-29 12:26:01] [d5ced5f570beeeb823add0810690c151] 
-   P     [Variability] [compendium4] [2009-10-29 12:28:48] [98c63a60e57a9ebbf84cf062cbeaf5fe] 
-    D    [Variability] [compendium 4 ] [2009-10-29 12:29:05] [f1ef06f47321aa4b8d61127511b90b62] 
-         [Variability] [Week 4] [2009-10-29 12:33:53] [d85e8cd4dd2ccdf2c3dfa3761837f774] 
-    D    [Variability] [compendium 4] [2009-10-29 12:35:40] [f1ef06f47321aa4b8d61127511b90b62] 
-    D    [Variability] [meanvariables2] [2009-10-29 12:35:49] [d5ced5f570beeeb823add0810690c151] 
-    D    [Variability] [meanvariables3] [2009-10-29 12:39:34] [d5ced5f570beeeb823add0810690c151] 
-         [Variability] [comp4.shap] [2009-10-29 12:54:45] [6754037f2a7547483397efade45eb176] 
-   P       [Variability] [comp4.shap.pear] [2009-10-29 13:22:07] [6754037f2a7547483397efade45eb176] 
-   PD        [Variability] [comp4.shap atten] [2009-10-29 13:28:42] [6754037f2a7547483397efade45eb176] 
-               [Variability] [comp4.shap3] [2009-10-29 13:33:12] [6754037f2a7547483397efade45eb176] 
-                 [Variability] [comp4_shap&spearc...] [2009-11-03 09:04:56] [6754037f2a7547483397efade45eb176] 
-   P         [Variability] [spearmancompmea] [2009-11-03 08:52:35] [6754037f2a7547483397efade45eb176] 
-    D          [Variability] [compattenmean] [2009-11-03 09:22:30] [6754037f2a7547483397efade45eb176] 
-    D          [Variability] [compappliedmean] [2009-11-03 09:25:28] [6754037f2a7547483397efade45eb176] 
-   PD            [Correlation] [q2] [2010-06-02 09:56:29] [6754037f2a7547483397efade45eb176] 
- RMPD            [T-Tests] [q2pt2] [2010-06-02 10:09:32] [6754037f2a7547483397efade45eb176] 
-         [Variability] [Shaprio Wilks - m...] [2009-10-29 13:19:58] [cb1b5098fbe5e6779d164349741d91ea] 
-   P     [Variability] [Compendium 4 Exer...] [2009-10-29 13:23:21] [da8ef2b5f272f3481b509cba20833cef] 
-    D    [Variability] [Shapiro Wilks - a...] [2009-10-29 13:28:18] [74be16979710d4c4e7c6647856088456] 
-         [Variability] [MemoryCorrelation] [2009-10-29 13:29:48] [68b4a0d51ad214b1a79d67393064cb7e] 
-    D    [Variability] [Specattenmean and...] [2009-10-29 13:30:40] [f92b1014b0eca5452e0c3ed42064454c] 
-    D      [Variability] [Comappliedmean an...] [2009-10-29 13:37:44] [f92b1014b0eca5452e0c3ed42064454c] 
-   P         [Variability] [Pearson's correla...] [2009-10-31 17:06:25] [f92b1014b0eca5452e0c3ed42064454c] 
-    D      [Variability] [Commemomean and S...] [2009-10-29 13:37:44] [f92b1014b0eca5452e0c3ed42064454c] 
-   P       [Variability] [Pearson's correla...] [2009-10-31 17:03:48] [f92b1014b0eca5452e0c3ed42064454c] 
-    D    [Variability] [workshop week4] [2009-10-29 13:31:26] [256a42577f5eb7e9c8a1b74c73a90fa8] 
-         [Variability] [] [2009-10-29 13:30:18] [e9dbed8f63950395c9f0d093d021a3af] 
-         [Variability] [compendium 4 blog 1] [2009-10-29 13:31:35] [86674042f568b97a0cb1393bb670625c] 
-    D      [Variability] [compendium4 ex2] [2009-10-29 13:37:20] [86674042f568b97a0cb1393bb670625c] 
-    D        [Variability] [compendium 4 ex 3] [2009-10-29 13:40:18] [86674042f568b97a0cb1393bb670625c] 
-    D          [Variability] [compendium 4 blog 4] [2009-10-29 13:49:54] [86674042f568b97a0cb1393bb670625c] 
-    D            [Variability] [compendium 4] [2009-10-29 20:17:07] [86674042f568b97a0cb1393bb670625c] 

[Truncated]

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Dataseries X:

Download CSV

Histogram

Boxplots

4.8
5.4
6
6
4
6
4.2
4.2
4.2
4
4.6
5.666666667
3.8
4.8
4.2
4
5.4
4.6
4
4.4
5
5.4
5.2
4.4
4
3.4
4.4
4
4.4
4.4
4
4.8
4
4
5
4
3.4
4
5.4
4.2
4
5.6
4.8
4.4
4.6
4
5.2
4.8
4.6
4
4.2
4.6
4.4
5
5
4
3.8
5.2
4.2
4.4
4.2
6
4.8
4
4.4
4
4.8
4.8
5.6
6
4
4.2
5
4.4
4.2
4.6
4.4
4
4
4
4.2
4
5
4.2
5.4
4
6
3.8
5
4.4
5
4.4
5
4.2
4.6
5

Dataseries Y:

Download CSV

Histogram

4.6
5.6
4
5
4.4
6
4
4.4
4.6
4
4.8
5.333333333
4.4
5.2
5.2
4
5.2
4.8
4
4.4
5.6
6
4.8
4.2
4
2.8
4.8
4.2
4.8
5.2
4.6
4.4
4
3.6
4.6
4
2.2
4
5.6
3.6
4
5.4
5
4.4
4.6
3.8
4.25
4.6
5.2
4
4.2
4.2
4.6
5.6
5.4
4
3.6
4.4
4.6
4.4
4
5
4.8
4
4.6
4
5
4.2
4.8
6.8
4
4.2
5
5
4.6
4.8
5
4.2
4
4
3.8
4.6
4
4.2
5.6
4
5.6
3.8
5
5.4
5
4.4
4.4
4
5.4
2.2

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=51840&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=51840&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51840&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 compmemomean
Statistic W	probability	ShapiroWilks Test
0.9168	0

\begin{tabular}{lllllllll}
\hline
Shapiro Test  compmemomean \tabularnewline
Statistic W & probability & ShapiroWilks Test \tabularnewline
0.9168 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51840&T=1

[TABLE]
[ROW][C]Shapiro Test  compmemomean[/C][/ROW]
[ROW][C]Statistic W[/C][C]probability[/C][C]ShapiroWilks Test[/C][/ROW]
[ROW][C]0.9168[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51840&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51840&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 compmemomean
Statistic W	probability	ShapiroWilks Test
0.9168	0

Shapiro Test specmemmean
Statistic W	probability	ShapiroWilks Test
0.9492	0.001

\begin{tabular}{lllllllll}
\hline
Shapiro Test  specmemmean \tabularnewline
Statistic W & probability & ShapiroWilks Test \tabularnewline
0.9492 & 0.001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51840&T=2

[TABLE]
[ROW][C]Shapiro Test  specmemmean[/C][/ROW]
[ROW][C]Statistic W[/C][C]probability[/C][C]ShapiroWilks Test[/C][/ROW]
[ROW][C]0.9492[/C][C]0.001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51840&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51840&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 specmemmean
Statistic W	probability	ShapiroWilks Test
0.9492	0.001

Correlation Test X-Y
Statistic	Value	probability	Method	alternative
rho	0.7166	0	Spearman's rank correlation rho	two.sided

\begin{tabular}{lllllllll}
\hline
Correlation Test X-Y \tabularnewline
Statistic & Value & probability & Method & alternative \tabularnewline
rho & 0.7166 & 0 & Spearman's rank correlation rho & two.sided \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51840&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]0.7166[/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=51840&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51840&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	0.7166	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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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code