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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 computationSun, 18 Dec 2011 03:47:40 -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/Dec/18/t13241981177xqu07hxir0a4g1.htm/, Retrieved Sun, 05 May 2024 12:03:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156614, Retrieved Sun, 05 May 2024 12:03:10 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Pearson Correlation] [Screen dimensions] [2010-09-25 10:10:17] [b98453cac15ba1066b407e146608df68]
- R  D    [Pearson Correlation] [] [2011-12-18 08:47:40] [a23917169fba894c1fbb2182d294ed58] [Current]
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Dataseries X:
26
20
19
20
25
22
26
22
19
24
26
13
22
21
7
17
25
25
19
23
22
21
18
22
18
23
20
15
21
18
19
22
16
18
20
24
24
18
21
17
22
16
21
24
24
16
16
18
20
24
17
19
20
15
22
23
16
19
19
21
24
22
18
24
24
22
23
22
20
18
25
16
20
15
19
19
16
17
28
25
20
16
23
21
23
18
20
9
25
20
21
22
27
18
16
22
20
20
Dataseries Y:
19
25
17
22
21
26
20
14
23
20
22
15
20
22
20
28
25
26
17
23
13
24
14
22
23
22
24
21
23
22
21
26
15
25
17
25
27
25
19
26
20
20
18
18
19
23
17
23
23
11
18
24
16
24
24
21
25
22
21
24
24
21
18




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156614&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]1 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=156614&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156614&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean20.166666666666721.1666666666667
Biased Variance12.472222222222213.9388888888889
Biased Standard Deviation3.531603350069523.73348213989151
Covariance0.632768361581921
Correlation0.0471910368355058
Determination0.00222699395761007
T-Test0.359797085437809
p-value (2 sided)0.720305686188891
p-value (1 sided)0.360152843094446
Degrees of Freedom58
Number of Observations60

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 20.1666666666667 & 21.1666666666667 \tabularnewline
Biased Variance & 12.4722222222222 & 13.9388888888889 \tabularnewline
Biased Standard Deviation & 3.53160335006952 & 3.73348213989151 \tabularnewline
Covariance & 0.632768361581921 \tabularnewline
Correlation & 0.0471910368355058 \tabularnewline
Determination & 0.00222699395761007 \tabularnewline
T-Test & 0.359797085437809 \tabularnewline
p-value (2 sided) & 0.720305686188891 \tabularnewline
p-value (1 sided) & 0.360152843094446 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156614&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]20.1666666666667[/C][C]21.1666666666667[/C][/ROW]
[ROW][C]Biased Variance[/C][C]12.4722222222222[/C][C]13.9388888888889[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]3.53160335006952[/C][C]3.73348213989151[/C][/ROW]
[ROW][C]Covariance[/C][C]0.632768361581921[/C][/ROW]
[ROW][C]Correlation[/C][C]0.0471910368355058[/C][/ROW]
[ROW][C]Determination[/C][C]0.00222699395761007[/C][/ROW]
[ROW][C]T-Test[/C][C]0.359797085437809[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.720305686188891[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.360152843094446[/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=156614&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156614&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
Mean20.166666666666721.1666666666667
Biased Variance12.472222222222213.9388888888889
Biased Standard Deviation3.531603350069523.73348213989151
Covariance0.632768361581921
Correlation0.0471910368355058
Determination0.00222699395761007
T-Test0.359797085437809
p-value (2 sided)0.720305686188891
p-value (1 sided)0.360152843094446
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')