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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 computationMon, 31 Oct 2011 08:10:30 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/31/t1320063448w42uwvp4q5gkwas.htm/, Retrieved Thu, 16 May 2024 23:04:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=138250, Retrieved Thu, 16 May 2024 23:04:29 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

Tree of Dependent Computations

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] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD  [Correlation] [Cognition in Preg...] [2011-10-24 17:01:26] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R PD      [Correlation] [k2] [2011-10-31 12:10:30] [fd6f6c41307f2d68a8b6c02e39d8956a] [Current]
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Dataset

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
4.67
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

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code

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