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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 computationFri, 24 Dec 2010 19:35:17 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/24/t12932194606wqpeiaw2fwhqkz.htm/, Retrieved Tue, 30 Apr 2024 03:51:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=115270, Retrieved Tue, 30 Apr 2024 03:51:17 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [] [2010-12-24 19:35:17] [346ac46ef4f6bb745e48fc42fac6253b] [Current]
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Dataseries X:
104,79
104,82
104,94
105,04
105,17
105,4
105,56
105,66
105,96
105,92
106,03
106,16
106,39
106,41
106,66
106,76
106,97
107,07
107,29
107,39
107,5
107,79
107,77
107,84
108,09
108,28
108,49
108,73
108,84
108,94
109,08
109,38
109,42
109,59
109,83
109,89
110,29
110,33
110,54
110,69
110,77
111,01
111,25
111,09
111,32
111,36
111,31
111,37
111,49
111,49
111,55
111,56
111,66
111,68
111,71
111,76
111,82
111,87
111,94
112,05
Dataseries Y:
104,71
105,35
106,31
106,26
106,97
107,04
106,98
107,05
107,33
107,3
107,28
107,58
109,03
110,43
111,01
111,01
110,76
111,13
111,07
111,09
110,96
110,64
110,62
110,59
111,33
113,94
114,61
114,64
114,62
114,71
114,72
114,66
114,76
114,68
114,75
114,74
116,36
117,53
118,82
119,83
119,97
121,29
120,94
121,02
120,98
121,02
120,89
120,76
123,28
123,98
125,91
125,84
125,98
127,24
127,23
127,82
127,59
127,74
127,44
127,35




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115270&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115270&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115270&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean108.862666666667115.6245
Biased Variance5.6042728888888949.62020475
Biased Standard Deviation2.367334553646557.04416103947092
Covariance16.2844861016949
Correlation0.960253515948741
Determination0.922086814891919
T-Test26.1995856772288
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom58
Number of Observations60

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 108.862666666667 & 115.6245 \tabularnewline
Biased Variance & 5.60427288888889 & 49.62020475 \tabularnewline
Biased Standard Deviation & 2.36733455364655 & 7.04416103947092 \tabularnewline
Covariance & 16.2844861016949 \tabularnewline
Correlation & 0.960253515948741 \tabularnewline
Determination & 0.922086814891919 \tabularnewline
T-Test & 26.1995856772288 \tabularnewline
p-value (2 sided) & 0 \tabularnewline
p-value (1 sided) & 0 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115270&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]108.862666666667[/C][C]115.6245[/C][/ROW]
[ROW][C]Biased Variance[/C][C]5.60427288888889[/C][C]49.62020475[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]2.36733455364655[/C][C]7.04416103947092[/C][/ROW]
[ROW][C]Covariance[/C][C]16.2844861016949[/C][/ROW]
[ROW][C]Correlation[/C][C]0.960253515948741[/C][/ROW]
[ROW][C]Determination[/C][C]0.922086814891919[/C][/ROW]
[ROW][C]T-Test[/C][C]26.1995856772288[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]58[/C][/ROW]
[ROW][C]Number of Observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115270&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115270&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
Mean108.862666666667115.6245
Biased Variance5.6042728888888949.62020475
Biased Standard Deviation2.367334553646557.04416103947092
Covariance16.2844861016949
Correlation0.960253515948741
Determination0.922086814891919
T-Test26.1995856772288
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom58
Number of Observations60



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')