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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 computationSat, 24 Oct 2009 17:53:36 -0600
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/Oct/25/t1256428586xuo00f9ktd4yfmk.htm/, Retrieved Sat, 27 Apr 2024 12:13:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=50263, Retrieved Sat, 27 Apr 2024 12:13:22 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsUK Data Archive Study Number 5615 - Cognition in Pregnancy: Perceptions and Performance, 2005-2006 (data subset for educational use) Spearman Correlation rho, Kendall's correlation tau, Pearson's Correlation Pregnancy and Cognition Aston University Workshop PY2224
Estimated Impact373
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] [a9208f4f8d3b118336aae915785f2bd9] [Current]
- R P     [Variability] [Pregnancy and Cog...] [2009-10-26 16:55:23] [74be16979710d4c4e7c6647856088456]
-    D      [Variability] [] [2009-10-30 09:41:54] [a120050d9c71216a504f7d26958aa6f2]
-    D      [Variability] [] [2009-10-30 09:54:59] [a120050d9c71216a504f7d26958aa6f2]
-    D        [Variability] [] [2009-10-30 09:58:28] [a120050d9c71216a504f7d26958aa6f2]
-    D          [Variability] [] [2009-10-30 10:05:57] [a120050d9c71216a504f7d26958aa6f2]
-    D      [Variability] [] [2009-10-30 10:13:58] [a120050d9c71216a504f7d26958aa6f2]
-   PD      [Variability] [] [2009-10-30 10:36:08] [a120050d9c71216a504f7d26958aa6f2]
-    D      [Variability] [] [2009-10-30 11:08:56] [a120050d9c71216a504f7d26958aa6f2]
-    D        [Variability] [] [2009-10-30 11:19:37] [a120050d9c71216a504f7d26958aa6f2]
-    D      [Variability] [] [2009-10-30 11:34:21] [a120050d9c71216a504f7d26958aa6f2]
- RMPD    [Correlation] [Cognition in Preg...] [2011-10-24 17:01:26] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R         [Correlation] [correlational week 4] [2011-10-27 11:08:38] [71cac728b89a34ca01732b1dc0bc9099]
- R         [Correlation] [] [2011-10-27 11:26:56] [c7597844baaca9882f0ad96a032255a8]
- R  D      [Correlation] [Week 4] [2011-10-27 11:28:56] [bd36d4ac3e20250331cee586bb86a82a]
- RMPD      [Histogram] [compmemomean] [2011-10-27 11:30:28] [3030e7f8365b8c92cf1bdf2e49678d4e]
- R  D      [Correlation] [week 4 - q1 (1)] [2011-10-27 11:28:55] [f6b9d876df69798a55c04978c9790084]
- R  D      [Correlation] [correlation of 2 ...] [2011-10-27 11:28:32] [ea6e45d26e44fca6fcec5c603ff1140c]
- RMPD      [CARE Data - Boxplots and Scatterplot Matrix] [Pregnancy and Co...] [2011-10-27 11:31:58] [09253b89c68efd7a460a267273a9d6e3]
- RMPD      [Histogram] [compmemomean] [2011-10-27 11:31:06] [113a1c41b2127daa39468f799d579e88]
- RM        [Correlation] [] [2011-10-27 11:32:36] [483074838c7eb9e0ff7f7d3e3c3f8586]
- R  D      [Correlation] [The correlation b...] [2011-10-27 11:29:13] [5ab72825a06ca2a73c828d10c85d14d8]
-             [Correlation] [ Correlation betw...] [2011-10-29 00:49:40] [5ab72825a06ca2a73c828d10c85d14d8]
- R  D      [Correlation] [correlation graph 1] [2011-10-27 11:32:26] [a1285470e94335f544c5f7260af952d0]
- RM        [Correlation] [Shapiro Wilk] [2011-10-27 11:33:20] [3030e7f8365b8c92cf1bdf2e49678d4e]
- R  D      [Correlation] [] [2011-10-27 11:28:25] [b65bb2f2e9cfcacaf325b787365dba62]
- R  D      [Correlation] [Week 4] [2011-10-27 11:34:04] [bd36d4ac3e20250331cee586bb86a82a]
- R  D      [Correlation] [linera scattergra...] [2011-10-27 11:34:35] [db177c22332ffa2a0a999e2f71898de2]
-    D        [Correlation] [SCATTERPLOT 2] [2011-10-27 11:43:45] [db177c22332ffa2a0a999e2f71898de2]
-    D        [Correlation] [scatterplot 3] [2011-10-27 11:46:46] [db177c22332ffa2a0a999e2f71898de2]
- R  D      [Correlation] [Q10) LINEAR SCATT...] [2011-10-27 11:34:32] [60c778bceb6cdaf66800b3af2d5a97ab]
-    D        [Correlation] [Q1b) linear scatt...] [2011-10-27 11:43:45] [60c778bceb6cdaf66800b3af2d5a97ab]
-    D        [Correlation] [Q1C) Linear scatt...] [2011-10-27 11:47:27] [60c778bceb6cdaf66800b3af2d5a97ab]
- RMPD      [Histogram, QQplot and Density] [Histogram and qq ...] [2011-10-27 11:33:29] [a34f8e06ab326aaded2151ae8b5dffdf]
- R  D        [Histogram, QQplot and Density] [Histogram and qq ...] [2011-10-27 11:39:20] [a34f8e06ab326aaded2151ae8b5dffdf]
-               [Histogram, QQplot and Density] [compattenmean] [2011-11-01 23:17:22] [74be16979710d4c4e7c6647856088456]
- R  D        [Histogram, QQplot and Density] [Histogram and qq ...] [2011-10-27 11:43:46] [a34f8e06ab326aaded2151ae8b5dffdf]
- R  D        [Histogram, QQplot and Density] [Histogram and qq ...] [2011-10-27 11:46:23] [a34f8e06ab326aaded2151ae8b5dffdf]
-    D          [Histogram, QQplot and Density] [Histogram and qq ...] [2011-10-27 11:50:14] [a34f8e06ab326aaded2151ae8b5dffdf]
-    D            [Histogram, QQplot and Density] [Histogram and qq ...] [2011-10-27 11:52:51] [a34f8e06ab326aaded2151ae8b5dffdf]
- R           [Histogram, QQplot and Density] [comp] [2011-10-27 11:56:42] [113a1c41b2127daa39468f799d579e88]
- RM          [Histogram, QQplot and Density] [Compmemomean] [2011-11-01 23:14:07] [74be16979710d4c4e7c6647856088456]
- RM        [Correlation] [Shaprio Wilk's] [2011-10-27 11:35:48] [803f089ae787812348a044658060aefb]
- R  D      [Correlation] [Correlation showi...] [2011-10-27 11:34:28] [069c1c4384e883dd4e1df6d4e8f70f1e]
- RM        [Correlation] [graph 1] [2011-10-27 11:36:11] [c7597844baaca9882f0ad96a032255a8]
- R  D      [Correlation] [Comparitive memor...] [2011-10-27 11:35:38] [a68359a26e24fd92b609f4c95c254176]
- RM        [Correlation] [Shapiro Wilk's Test] [2011-10-27 11:37:04] [68da2a3ec537521c4857f5c0bd5ed145]
- RM        [Correlation] [] [2011-10-27 11:37:32] [c7597844baaca9882f0ad96a032255a8]
- RMPD      [Histogram, QQplot and Density] [compmemomean graph] [2011-10-27 11:38:16] [ea6e45d26e44fca6fcec5c603ff1140c]

[Truncated]
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Dataseries X:
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:
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




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=50263&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=50263&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50263&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 Variable X
Statistic WprobabilityShapiroWilks Test
0.91680

\begin{tabular}{lllllllll}
\hline
Shapiro Test Variable X \tabularnewline
Statistic W & probability & ShapiroWilks Test \tabularnewline
0.9168 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50263&T=1

[TABLE]
[ROW][C]Shapiro Test Variable X[/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=50263&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50263&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 Variable X
Statistic WprobabilityShapiroWilks Test
0.91680







Shapiro Test Variable Y
Statistic WprobabilityShapiroWilks Test
0.95890.0043

\begin{tabular}{lllllllll}
\hline
Shapiro Test Variable Y \tabularnewline
Statistic W & probability & ShapiroWilks Test \tabularnewline
0.9589 & 0.0043 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50263&T=2

[TABLE]
[ROW][C]Shapiro Test Variable Y[/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=50263&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50263&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 Variable Y
Statistic WprobabilityShapiroWilks Test
0.95890.0043







Correlation Test X-Y
StatisticprobabilityMethodalternative
7.80270Kendall's rank correlation tautwo.sided

\begin{tabular}{lllllllll}
\hline
Correlation Test X-Y \tabularnewline
Statistic & probability & Method & alternative \tabularnewline
7.8027 & 0 & Kendall's rank correlation tau & two.sided \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50263&T=3

[TABLE]
[ROW][C]Correlation Test X-Y[/C][/ROW]
[ROW][C]Statistic[/C][C]probability[/C][C]Method[/C][C]alternative[/C][/ROW]
[ROW][C]7.8027[/C][C]0[/C][C]Kendall's rank correlation tau[/C][C]two.sided[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50263&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50263&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
StatisticprobabilityMethodalternative
7.80270Kendall's rank correlation tautwo.sided



Parameters (Session):
par1 = kendall ; par2 = two.sided ;
Parameters (R input):
par1 = kendall ; par2 = two.sided ;
R code (references can be found in the software module):
bitmap(file='test1.png')
plot(x,y)
abline(coef=(lm(y ~ x))$coeff, col='red')
dev.off()
sw1<-shapiro.test(x)
sw2<-shapiro.test(y)
cxy<-cor.test(x, y, method=par1)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Shapiro Test Variable X',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic W',header=TRUE)
a<-table.element(a,'probability',header=TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com','ShapiroWilks Test','ShapiroWilks Test'))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,round(sw1$statistic, digits=4))
a<-table.element(a,round(sw1$p.value, digits=4))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Shapiro Test Variable Y',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic W',header=TRUE)
a<-table.element(a,'probability',header=TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com','ShapiroWilks Test','ShapiroWilks Test'))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,round(sw2$statistic, digits=4))
a<-table.element(a,round(sw2$p.value, digits=4))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlation Test X-Y',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic',header=TRUE)
a<-table.element(a,'probability',header=TRUE)
a<-table.element(a,'Method')
a<-table.element(a,'alternative')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,round(cxy$statistic, 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')