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Author*The author of this computation has been verified*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationWed, 10 Dec 2014 14:10:23 +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/10/t1418220650meaoz4fv1uz5nda.htm/, Retrieved Sun, 19 May 2024 15:41:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265235, Retrieved Sun, 19 May 2024 15:41:02 +0000
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Original text written by user:
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User-defined keywords
Estimated Impact57
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [] [2014-12-10 14:10:23] [37e054ac358b2aa7c2a1d0b751dfa890] [Current]
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Dataseries X:
2
4
4
4
5
3
2
4
3
4
4
2
4
2
4
4
4
4
3
4
3
5
4
2
4
5
4
4
3
2
4
1
3
2
4
4
2
3
4
2
2
4
1
2
3
2
4
3
4
4
2
3
3
4
3
5
4
4
2
2
2
4
4
2
3
2
4
4
3
2
4
4
2
2
4
3
4
3
4
4
1
3
2
2
2
3
3
2
4
2
3
3
4
3
2
2
3
4
4
5
4
2
4
4
2
3
3
2
2
2
4
Dataseries Y:
24
18
17
21
17
19
19
24
17
20
24
18
22
17
22
26
23
20
20
18
25
25
19
26
24
24
20
21
18
14
14
26
16
23
21
11
21
16
21
24
14
18
29
12
19
21
20
19
28
21
21
16
13
22
30
18
22
20
19
19
21
19
23
17
19
15
20
24
17
10
23
22
21
18
19
23
19
24
20
17
20
22
15
23
18
20
20
19
24
13
19
16
22
21
16
19
14
19
20
19
23
20
13
17
22
20
19
21
16
24
23




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=265235&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=265235&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265235&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
Mean3.1441441441441419.8558558558559
Biased Variance0.97021345669994313.3305738170603
Biased Standard Deviation0.9849941404393953.6511058348205
Covariance0.384602784602785
Correlation0.105980035743702
Determination0.0112317679762364
T-Test1.1127306693111
p-value (2 sided)0.26827213344649
p-value (1 sided)0.134136066723245
Degrees of Freedom109
Number of Observations111

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 3.14414414414414 & 19.8558558558559 \tabularnewline
Biased Variance & 0.970213456699943 & 13.3305738170603 \tabularnewline
Biased Standard Deviation & 0.984994140439395 & 3.6511058348205 \tabularnewline
Covariance & 0.384602784602785 \tabularnewline
Correlation & 0.105980035743702 \tabularnewline
Determination & 0.0112317679762364 \tabularnewline
T-Test & 1.1127306693111 \tabularnewline
p-value (2 sided) & 0.26827213344649 \tabularnewline
p-value (1 sided) & 0.134136066723245 \tabularnewline
Degrees of Freedom & 109 \tabularnewline
Number of Observations & 111 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265235&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]3.14414414414414[/C][C]19.8558558558559[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.970213456699943[/C][C]13.3305738170603[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.984994140439395[/C][C]3.6511058348205[/C][/ROW]
[ROW][C]Covariance[/C][C]0.384602784602785[/C][/ROW]
[ROW][C]Correlation[/C][C]0.105980035743702[/C][/ROW]
[ROW][C]Determination[/C][C]0.0112317679762364[/C][/ROW]
[ROW][C]T-Test[/C][C]1.1127306693111[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.26827213344649[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.134136066723245[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]109[/C][/ROW]
[ROW][C]Number of Observations[/C][C]111[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265235&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265235&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
Mean3.1441441441441419.8558558558559
Biased Variance0.97021345669994313.3305738170603
Biased Standard Deviation0.9849941404393953.6511058348205
Covariance0.384602784602785
Correlation0.105980035743702
Determination0.0112317679762364
T-Test1.1127306693111
p-value (2 sided)0.26827213344649
p-value (1 sided)0.134136066723245
Degrees of Freedom109
Number of Observations111







Normality Tests
> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 5.7165, p-value = 0.05737
alternative hypothesis: greater
> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 0.5366, p-value = 0.7647
alternative hypothesis: greater
> ad.x
	Anderson-Darling normality test
data:  x
A = 7.3745, p-value < 2.2e-16
> ad.y
	Anderson-Darling normality test
data:  y
A = 0.661, p-value = 0.08228

\begin{tabular}{lllllllll}
\hline
Normality Tests \tabularnewline
> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 5.7165, p-value = 0.05737
alternative hypothesis: greater
\tabularnewline
> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 0.5366, p-value = 0.7647
alternative hypothesis: greater
\tabularnewline
> ad.x
	Anderson-Darling normality test
data:  x
A = 7.3745, p-value < 2.2e-16
\tabularnewline
> ad.y
	Anderson-Darling normality test
data:  y
A = 0.661, p-value = 0.08228
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=265235&T=2

[TABLE]
[ROW][C]Normality Tests[/C][/ROW]
[ROW][C]
> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 5.7165, p-value = 0.05737
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 0.5366, p-value = 0.7647
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> ad.x
	Anderson-Darling normality test
data:  x
A = 7.3745, p-value < 2.2e-16
[/C][/ROW] [ROW][C]
> ad.y
	Anderson-Darling normality test
data:  y
A = 0.661, p-value = 0.08228
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=265235&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265235&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 = 5.7165, p-value = 0.05737
alternative hypothesis: greater
> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 0.5366, p-value = 0.7647
alternative hypothesis: greater
> ad.x
	Anderson-Darling normality test
data:  x
A = 7.3745, p-value < 2.2e-16
> ad.y
	Anderson-Darling normality test
data:  y
A = 0.661, p-value = 0.08228



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()