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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationWed, 23 Nov 2011 13:21:11 -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/2011/Nov/23/t1322072529ztsc5do5bpqcmv1.htm/, Retrieved Fri, 29 Mar 2024 15:46:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=146563, Retrieved Fri, 29 Mar 2024 15:46:03 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [] [2011-11-23 18:21:11] [5363b79245edacd2d961915f77b3b63a] [Current]
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Dataseries X:
1
1
0
0
1
1
1
0
0
1
0
0
0
0
0
1
1
1
0
0
1
1
0
1
1
1
1
0
0
1
1
1
0
0
0
1
1
0
0
1
1
1
1
1
0
0
0
1
1
0
0
1
0
0
0
0
0
0
0
0
0
1
1
1
0
0
0
0
1
1
0
0
0
0
1
1
0
1
1
1
0
0
0
1
0
0
1
1
0
0
1
1
1
0
1
1
1
1
0
0
1
0
0
0
0
Dataseries Y:
1
1
1
0
1
1
1
1
1
1
0
1
1
1
0
1
1
1
1
0
1
1
0
0
1
0
1
0
0
1
0
1
0
0
0
1
1
1
1
1
1
1
1
1
0
1
1
1
1
0
1
1
1
0
1
1
1
1
0
0
1
1
1
0
0
1
1
0
1
1
1
1
1
1
1
0
0
1
0
1
0
0
0
0
0
0
0
1
0
0
1
1
1
1
1
1
1
1
0
0
1
0
0
0
1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146563&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146563&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146563&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 time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean0.4666666666666670.638095238095238
Biased Variance0.2488888888888890.23092970521542
Biased Standard Deviation0.4988876515698590.480551459487347
Covariance0.0935897435897436
Correlation0.386660352579897
Determination0.14950622825721
T-Test4.25512856244817
p-value (2 sided)4.61521345862526e-05
p-value (1 sided)2.30760672931263e-05
Degrees of Freedom103
Number of Observations105

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 0.466666666666667 & 0.638095238095238 \tabularnewline
Biased Variance & 0.248888888888889 & 0.23092970521542 \tabularnewline
Biased Standard Deviation & 0.498887651569859 & 0.480551459487347 \tabularnewline
Covariance & 0.0935897435897436 \tabularnewline
Correlation & 0.386660352579897 \tabularnewline
Determination & 0.14950622825721 \tabularnewline
T-Test & 4.25512856244817 \tabularnewline
p-value (2 sided) & 4.61521345862526e-05 \tabularnewline
p-value (1 sided) & 2.30760672931263e-05 \tabularnewline
Degrees of Freedom & 103 \tabularnewline
Number of Observations & 105 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146563&T=1

[TABLE]
[ROW][C]Pearson Product Moment Correlation - Ungrouped Data[/C][/ROW]
[ROW][C]Statistic[/C][C]Variable X[/C][C]Variable Y[/C][/ROW]
[ROW][C]Mean[/C][C]0.466666666666667[/C][C]0.638095238095238[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.248888888888889[/C][C]0.23092970521542[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.498887651569859[/C][C]0.480551459487347[/C][/ROW]
[ROW][C]Covariance[/C][C]0.0935897435897436[/C][/ROW]
[ROW][C]Correlation[/C][C]0.386660352579897[/C][/ROW]
[ROW][C]Determination[/C][C]0.14950622825721[/C][/ROW]
[ROW][C]T-Test[/C][C]4.25512856244817[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]4.61521345862526e-05[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]2.30760672931263e-05[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]103[/C][/ROW]
[ROW][C]Number of Observations[/C][C]105[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146563&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146563&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean0.4666666666666670.638095238095238
Biased Variance0.2488888888888890.23092970521542
Biased Standard Deviation0.4988876515698590.480551459487347
Covariance0.0935897435897436
Correlation0.386660352579897
Determination0.14950622825721
T-Test4.25512856244817
p-value (2 sided)4.61521345862526e-05
p-value (1 sided)2.30760672931263e-05
Degrees of Freedom103
Number of Observations105



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
bitmap(file='test1.png')
histx <- hist(x, plot=FALSE)
histy <- hist(y, plot=FALSE)
maxcounts <- max(c(histx$counts, histx$counts))
xrange <- c(min(x),max(x))
yrange <- c(min(y),max(y))
nf <- layout(matrix(c(2,0,1,3),2,2,byrow=TRUE), c(3,1), c(1,3), TRUE)
par(mar=c(4,4,1,1))
plot(x, y, xlim=xrange, ylim=yrange, xlab=xlab, ylab=ylab)
par(mar=c(0,4,1,1))
barplot(histx$counts, axes=FALSE, ylim=c(0, maxcounts), space=0)
par(mar=c(4,0,1,1))
barplot(histy$counts, axes=FALSE, xlim=c(0, maxcounts), space=0, horiz=TRUE)
dev.off()
lx = length(x)
makebiased = (lx-1)/lx
varx = var(x)*makebiased
vary = var(y)*makebiased
corxy <- cor.test(x,y,method='pearson')
cxy <- as.matrix(corxy$estimate)[1,1]
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Pearson Product Moment Correlation - Ungrouped Data',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic',1,TRUE)
a<-table.element(a,'Variable X',1,TRUE)
a<-table.element(a,'Variable Y',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('arithmetic_mean.htm','Mean',''),header=TRUE)
a<-table.element(a,mean(x))
a<-table.element(a,mean(y))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('biased.htm','Biased Variance',''),header=TRUE)
a<-table.element(a,varx)
a<-table.element(a,vary)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('biased1.htm','Biased Standard Deviation',''),header=TRUE)
a<-table.element(a,sqrt(varx))
a<-table.element(a,sqrt(vary))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('covariance.htm','Covariance',''),header=TRUE)
a<-table.element(a,cov(x,y),2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('pearson_correlation.htm','Correlation',''),header=TRUE)
a<-table.element(a,cxy,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('coeff_of_determination.htm','Determination',''),header=TRUE)
a<-table.element(a,cxy*cxy,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('ttest_statistic.htm','T-Test',''),header=TRUE)
a<-table.element(a,as.matrix(corxy$statistic)[1,1],2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value (2 sided)',header=TRUE)
a<-table.element(a,(p2 <- as.matrix(corxy$p.value)[1,1]),2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value (1 sided)',header=TRUE)
a<-table.element(a,p2/2,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degrees of Freedom',header=TRUE)
a<-table.element(a,lx-2,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of Observations',header=TRUE)
a<-table.element(a,lx,2)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')