FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationMon, 19 Dec 2016 22:06:27 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/19/t1482181623yw9j0ntchufxz4h.htm/, Retrieved Fri, 17 May 2024 12:47:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301509, Retrieved Fri, 17 May 2024 12:47:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Pearson (TA)] [2016-12-19 21:06:27] [bde5266f17215258f6d7c4cd7e531432] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11
11
15
15
13
14
13
15
13
15
10
11
16
17
14
13
10
10
13
17
18
17
11
15
12
15
15
12
19
13
15
13
10
13
12
15
13
18
15
12
14
11
14
9
13
13
12
16
16
15
16
16
13
13
12
11
13
15
13
14
13
15
14
14
13
11
14
17
15
15
13
12
14
11
14
18
15
18
16
12
14
14
14
14
13
12
13
16
13
14
15
13
14
17
15
13
14
17
8
15
10
15
15
14
15
18
15
19
16
17
18
13
10
14
13
12
13
12
13
16
12
14
17
14
12
14
17
13
12
14
11
17
15
10
15
16
17
15
12
15
10
13
17
17
16
15
16
16
15
16
14
17
14
12
15
14
15
14
13
16
13
14
13
13
15
13
14
13
12
Dataseries Y:
Download CSV
Histogram 
14
19
17
17
15
20
15
19
15
15
19
16
20
18
15
14
20
16
16
16
10
19
19
16
15
18
17
19
17
13
19
20
5
19
16
15
16
18
16
15
17
13
20
19
7
13
16
16
18
18
16
17
19
16
19
13
16
13
12
17
17
17
16
16
14
16
13
16
14
20
12
13
18
14
19
18
14
18
19
15
14
17
19
13
19
18
20
15
15
15
20
15
19
18
18
15
20
17
12
18
19
20
13
17
15
16
18
18
14
15
12
17
14
18
17
17
20
16
14
15
18
20
17
17
17
17
15
17
18
17
20
15
16
15
18
11
15
18
20
19
14
16
15
17
18
20
17
18
15
16
11
15
18
17
16
12
19
18
15
17
19
18
19
16
16
16
14
16
14

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301509&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]3 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=301509&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301509&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R ServerBig Analytics Cloud Computing Center






Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean13.994082840236716.3668639053254
Biased Variance4.360911732782476.23227478029481
Biased Standard Deviation2.088279610775932.49645243902118
Covariance0.436707523245985
Correlation0.0832724430187895
Determination0.00693429976631754
T-Test1.07986769871294
p-value (2 sided)0.28175819754922
p-value (1 sided)0.14087909877461
95% CI of Correlation[-0.0685493061981174, 0.231324535032623]
Degrees of Freedom167
Number of Observations169

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 13.9940828402367 & 16.3668639053254 \tabularnewline
Biased Variance & 4.36091173278247 & 6.23227478029481 \tabularnewline
Biased Standard Deviation & 2.08827961077593 & 2.49645243902118 \tabularnewline
Covariance & 0.436707523245985 \tabularnewline
Correlation & 0.0832724430187895 \tabularnewline
Determination & 0.00693429976631754 \tabularnewline
T-Test & 1.07986769871294 \tabularnewline
p-value (2 sided) & 0.28175819754922 \tabularnewline
p-value (1 sided) & 0.14087909877461 \tabularnewline
95% CI of Correlation & [-0.0685493061981174, 0.231324535032623] \tabularnewline
Degrees of Freedom & 167 \tabularnewline
Number of Observations & 169 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301509&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]13.9940828402367[/C][C]16.3668639053254[/C][/ROW]
[ROW][C]Biased Variance[/C][C]4.36091173278247[/C][C]6.23227478029481[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]2.08827961077593[/C][C]2.49645243902118[/C][/ROW]
[ROW][C]Covariance[/C][C]0.436707523245985[/C][/ROW]
[ROW][C]Correlation[/C][C]0.0832724430187895[/C][/ROW]
[ROW][C]Determination[/C][C]0.00693429976631754[/C][/ROW]
[ROW][C]T-Test[/C][C]1.07986769871294[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.28175819754922[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.14087909877461[/C][/ROW]
[ROW][C]95% CI of Correlation[/C][C][-0.0685493061981174, 0.231324535032623][/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]167[/C][/ROW]
[ROW][C]Number of Observations[/C][C]169[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301509&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301509&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean13.994082840236716.3668639053254
Biased Variance4.360911732782476.23227478029481
Biased Standard Deviation2.088279610775932.49645243902118
Covariance0.436707523245985
Correlation0.0832724430187895
Determination0.00693429976631754
T-Test1.07986769871294
p-value (2 sided)0.28175819754922
p-value (1 sided)0.14087909877461
95% CI of Correlation[-0.0685493061981174, 0.231324535032623]
Degrees of Freedom167
Number of Observations169






Normality Tests
> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 0.23246, p-value = 0.8903
alternative hypothesis: greater

> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 66.535, p-value = 3.553e-15
alternative hypothesis: greater

> ad.x
	Anderson-Darling normality test
data:  x
A = 1.7681, p-value = 0.0001527

> ad.y
	Anderson-Darling normality test
data:  y
A = 2.1565, p-value = 1.693e-05


\begin{tabular}{lllllllll}
\hline
Normality Tests \tabularnewline

> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 0.23246, p-value = 0.8903
alternative hypothesis: greater

 \tabularnewline

> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 66.535, p-value = 3.553e-15
alternative hypothesis: greater

 \tabularnewline

> ad.x
	Anderson-Darling normality test
data:  x
A = 1.7681, p-value = 0.0001527

 \tabularnewline

> ad.y
	Anderson-Darling normality test
data:  y
A = 2.1565, p-value = 1.693e-05

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301509&T=2

[TABLE]
[ROW][C]Normality Tests[/C][/ROW]
[ROW][C]
> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 0.23246, p-value = 0.8903
alternative hypothesis: greater

[/C][/ROW]
[ROW][C]
> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 66.535, p-value = 3.553e-15
alternative hypothesis: greater

[/C][/ROW]
[ROW][C]
> ad.x
	Anderson-Darling normality test
data:  x
A = 1.7681, p-value = 0.0001527

[/C][/ROW]
[ROW][C]
> ad.y
	Anderson-Darling normality test
data:  y
A = 2.1565, p-value = 1.693e-05

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301509&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301509&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Normality Tests
> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 0.23246, p-value = 0.8903
alternative hypothesis: greater

> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 66.535, p-value = 3.553e-15
alternative hypothesis: greater

> ad.x
	Anderson-Darling normality test
data:  x
A = 1.7681, p-value = 0.0001527

> ad.y
	Anderson-Darling normality test
data:  y
A = 2.1565, p-value = 1.693e-05


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = TRUE ;
Parameters (R input):
R code (references can be found in the software module):
library(psychometric)
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$estimate)[1,1]
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Pearson Product Moment Correlation - Ungrouped Data',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic',1,TRUE)
a<-table.element(a,'Variable X',1,TRUE)
a<-table.element(a,'Variable Y',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Mean',header=TRUE)
a<-table.element(a,mean(x))
a<-table.element(a,mean(y))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Biased Variance',header=TRUE)
a<-table.element(a,varx)
a<-table.element(a,vary)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Biased Standard Deviation',header=TRUE)
a<-table.element(a,sqrt(varx))
a<-table.element(a,sqrt(vary))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Covariance',header=TRUE)
a<-table.element(a,cov(x,y),2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation',header=TRUE)
a<-table.element(a,cxy,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Determination',header=TRUE)
a<-table.element(a,cxy*cxy,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'T-Test',header=TRUE)
a<-table.element(a,as.matrix(corxy$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,'95% CI of Correlation',header=TRUE)
a<-table.element(a,paste('[',CIr(r=cxy, n = lx, level = .95)[1],', ', CIr(r=cxy, n = lx, level = .95)[2],']',sep=''),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')
qqPlot(x,main='QQplot of variable x')
dev.off()
bitmap(file='test3.png')
qqPlot(y,main='QQplot of variable y')
dev.off()