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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, 17 Dec 2014 09:36:47 +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/2014/Dec/17/t1418809047dfcctmzyz3o4ewd.htm/, Retrieved Sun, 12 May 2024 10:57:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270006, Retrieved Sun, 12 May 2024 10:57:20 +0000
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IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Histogram] [Frequency Plot (C...] [2010-09-25 09:09:15] [b98453cac15ba1066b407e146608df68]
-    D  [Histogram] [Market Share of O...] [2010-10-04 13:35:10] [b98453cac15ba1066b407e146608df68]
- RMPD    [Histogram] [bachelor of schak...] [2014-12-16 12:24:13] [9378e2688aa9dcfd1390615d31e9d404]
- RMPD      [Pearson Correlation] [] [2014-12-17 09:29:37] [2b9d0c54c8c845c625e475ed5f1f3af1]
- R  D          [Pearson Correlation] [] [2014-12-17 09:36:47] [b22ed12f8980e34362f6926e9ebd1315] [Current]
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Dataseries X:
12,9
12,2
12,8
7,4
6,7
12,6
14,8
13,3
11,1
8,2
11,4
6,4
10,6
12,0
6,3
11,3
11,9
9,3
9,6
10,0
6,4
13,8
10,8
13,8
11,7
10,9
16,1
13,4
9,9
11,5
8,3
11,7
9,0
9,7
10,8
10,3
10,4
12,7
9,3
11,8
5,9
11,4
13,0
10,8
12,3
11,3
11,8
7,9
12,7
12,3
11,6
6,7
10,9
12,1
13,3
10,1
5,7
14,3
8,0
13,3
9,3
12,5
7,6
15,9
9,2
9,1
11,1
13,0
14,5
12,2
12,3
11,4
8,8
14,6
12,6
13,0
12,6
13,2
9,9
7,7
10,5
13,4
10,9
4,3
10,3
11,8
11,2
11,4
8,6
13,2
12,6
5,6
9,9
8,8
7,7
9,0
7,3
11,4
13,6
7,9
10,7
10,3
8,3
9,6
14,2
8,5
13,5
4,9
6,4
9,6
11,6
11,1
4,35
12,7
18,1
17,85
16,6
12,6
17,1
19,1
16,1
13,35
18,4
14,7
10,6
12,6
16,2
13,6
18,9
14,1
14,5
16,15
14,75
14,8
12,45
12,65
17,35
8,6
18,4
16,1
11,6
17,75
15,25
17,65
16,35
17,65
13,6
14,35
14,75
18,25
9,9
16
18,25
16,85
14,6
13,85
18,95
15,6
14,85
11,75
18,45
15,9
17,1
16,1
19,9
10,95
18,45
15,1
15
11,35
15,95
18,1
14,6
15,4
15,4
17,6
13,35
19,1
15,35
7,6
13,4
13,9
19,1
15,25
12,9
16,1
17,35
13,15
12,15
12,6
10,35
15,4
9,6
18,2
13,6
14,85
14,75
14,1
14,9
16,25
19,25
13,6
13,6
15,65
12,75
14,6
9,85
12,65
19,2
16,6
11,2
15,25
11,9
13,2
16,35
12,4
15,85
18,15
11,15
15,65
17,75
7,65
12,35
15,6
19,3
15,2
17,1
15,6
18,4
19,05
18,55
19,1
13,1
12,85
9,5
4,5
11,85
13,6
11,7
12,4
13,35
11,4
14,9
19,9
11,2
14,6
17,6
14,05
16,1
13,35
11,85
11,95
14,75
15,15
13,2
16,85
7,85
7,7
12,6
7,85
10,95
12,35
9,95
14,9
16,65
13,4
13,95
15,7
16,85
10,95
15,35
12,2
15,1
17,75
15,2
14,6
16,65
8,1
Dataseries Y:
13
8
14
16
14
13
15
13
20
17
15
16
12
17
11
16
16
15
13
14
19
16
17
10
15
14
14
16
15
17
14
16
15
16
16
10
8
17
14
10
14
12
16
16
16
8
16
15
8
13
14
13
16
19
19
14
15
13
10
16
15
11
9
16
12
12
14
14
13
15
17
14
11
9
7
15
12
15
14
16
14
13
16
13
16
16
16
10
12
12
12
12
19
14
13
16
15
12
8
10
16
16
10
18
12
16
10
14
12
11
15
7
16
16
16
16
12
15
14
15
16
13
10
17
15
18
16
20
16
17
16
15
13
16
16
16
17
20
14
17
6
16
15
16
16
14
16
16
16
14
14
16
16
15
16
16
18
15
16
16
16
17
14
18
9
15
14
15
13
16
20
14
12
15
15
15
16
11
16
7
11
9
15
16
14
15
13
13
12
16
14
16
14
15
10
16
14
16
12
16
16
15
14
16
11
15
18
13
7
7
17
18
15
8
13
13
15
18
16
14
15
19
16
12
16
11
16
15
19
15
14
14
17
16
20
16
9
13
15
19
16
17
16
9
11
14
19
13
14
15
15
14
16
17
12
15
17
15
10
16
15
11
16
16
16
14
14
16
16
18
14
20
15
16
16
16
12
8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270006&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270006&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270006&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'Gwilym Jenkins' @ jenkins.wessa.net







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean12.97514.3848920863309
Biased Variance11.48022931654687.46696599554889
Biased Standard Deviation3.38824870936992.7325749752841
Covariance0.595036101083033
Correlation0.064036991479312
Determination0.00410073627772148
T-Test1.0660504443781
p-value (2 sided)0.28733249441518
p-value (1 sided)0.14366624720759
Degrees of Freedom276
Number of Observations278

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 12.975 & 14.3848920863309 \tabularnewline
Biased Variance & 11.4802293165468 & 7.46696599554889 \tabularnewline
Biased Standard Deviation & 3.3882487093699 & 2.7325749752841 \tabularnewline
Covariance & 0.595036101083033 \tabularnewline
Correlation & 0.064036991479312 \tabularnewline
Determination & 0.00410073627772148 \tabularnewline
T-Test & 1.0660504443781 \tabularnewline
p-value (2 sided) & 0.28733249441518 \tabularnewline
p-value (1 sided) & 0.14366624720759 \tabularnewline
Degrees of Freedom & 276 \tabularnewline
Number of Observations & 278 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270006&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]12.975[/C][C]14.3848920863309[/C][/ROW]
[ROW][C]Biased Variance[/C][C]11.4802293165468[/C][C]7.46696599554889[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]3.3882487093699[/C][C]2.7325749752841[/C][/ROW]
[ROW][C]Covariance[/C][C]0.595036101083033[/C][/ROW]
[ROW][C]Correlation[/C][C]0.064036991479312[/C][/ROW]
[ROW][C]Determination[/C][C]0.00410073627772148[/C][/ROW]
[ROW][C]T-Test[/C][C]1.0660504443781[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.28733249441518[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.14366624720759[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]276[/C][/ROW]
[ROW][C]Number of Observations[/C][C]278[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270006&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270006&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
Mean12.97514.3848920863309
Biased Variance11.48022931654687.46696599554889
Biased Standard Deviation3.38824870936992.7325749752841
Covariance0.595036101083033
Correlation0.064036991479312
Determination0.00410073627772148
T-Test1.0660504443781
p-value (2 sided)0.28733249441518
p-value (1 sided)0.14366624720759
Degrees of Freedom276
Number of Observations278







Normality Tests
> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 3.2947, p-value = 0.1926
alternative hypothesis: greater
> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 28.0319, p-value = 8.184e-07
alternative hypothesis: greater
> ad.x
	Anderson-Darling normality test
data:  x
A = 0.4263, p-value = 0.3124
> ad.y
	Anderson-Darling normality test
data:  y
A = 7.6409, p-value < 2.2e-16

\begin{tabular}{lllllllll}
\hline
Normality Tests \tabularnewline
> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 3.2947, p-value = 0.1926
alternative hypothesis: greater
\tabularnewline
> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 28.0319, p-value = 8.184e-07
alternative hypothesis: greater
\tabularnewline
> ad.x
	Anderson-Darling normality test
data:  x
A = 0.4263, p-value = 0.3124
\tabularnewline
> ad.y
	Anderson-Darling normality test
data:  y
A = 7.6409, p-value < 2.2e-16
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=270006&T=2

[TABLE]
[ROW][C]Normality Tests[/C][/ROW]
[ROW][C]
> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 3.2947, p-value = 0.1926
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 28.0319, p-value = 8.184e-07
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> ad.x
	Anderson-Darling normality test
data:  x
A = 0.4263, p-value = 0.3124
[/C][/ROW] [ROW][C]
> ad.y
	Anderson-Darling normality test
data:  y
A = 7.6409, p-value < 2.2e-16
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=270006&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270006&T=2

As an alternative you can also use a QR Code:  

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

Normality Tests
> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 3.2947, p-value = 0.1926
alternative hypothesis: greater
> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 28.0319, p-value = 8.184e-07
alternative hypothesis: greater
> ad.x
	Anderson-Darling normality test
data:  x
A = 0.4263, p-value = 0.3124
> ad.y
	Anderson-Darling normality test
data:  y
A = 7.6409, p-value < 2.2e-16



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
x <- x[!is.na(y)]
y <- y[!is.na(y)]
y <- y[!is.na(x)]
x <- x[!is.na(x)]
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, sub=main)
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', na.rm = T)
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')
library(moments)
library(nortest)
jarque.x <- jarque.test(x)
jarque.y <- jarque.test(y)
if(lx>7) {
ad.x <- ad.test(x)
ad.y <- ad.test(y)
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Normality Tests',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('jarque.x'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('jarque.y'),'
',sep=''))
a<-table.row.end(a)
if(lx>7) {
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('ad.x'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('ad.y'),'
',sep=''))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
library(car)
bitmap(file='test2.png')
qq.plot(x,main='QQplot of variable x')
dev.off()
bitmap(file='test3.png')
qq.plot(y,main='QQplot of variable y')
dev.off()