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Description of Statistical Computation

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 computationSat, 23 Nov 2013 16:04:43 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/23/t138524070232sf9myi0euk9cc.htm/, Retrieved Thu, 02 May 2024 18:35:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=227931, Retrieved Thu, 02 May 2024 18:35:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact79

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Correlation] [memmean] [2013-11-23 21:04:43] [484684ace344613261e9d42f8b508066] [Current]
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Dataset

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
2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net
R Engine error message
Error in xy.coords(x, y, xlabel, ylabel, log) : 
  'x' and 'y' lengths differ
Calls: plot -> plot.default -> xy.coords
Execution halted


\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Engine error message & 
Error in xy.coords(x, y, xlabel, ylabel, log) : 
  'x' and 'y' lengths differ
Calls: plot -> plot.default -> xy.coords
Execution halted

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=227931&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Engine error message[/C][C]
Error in xy.coords(x, y, xlabel, ylabel, log) : 
  'x' and 'y' lengths differ
Calls: plot -> plot.default -> xy.coords
Execution halted

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=227931&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=227931&T=0

As an alternative you can also use a QR Code:  
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'George Udny Yule' @ yule.wessa.net
R Engine error message
Error in xy.coords(x, y, xlabel, ylabel, log) : 
  'x' and 'y' lengths differ
Calls: plot -> plot.default -> xy.coords
Execution halted


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = pearson ; par2 = two.sided ;
Parameters (R input):
par1 = pearson ; 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')