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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, 25 Oct 2009 11:47:50 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/25/t1256492906zh8ount81rm8jco.htm/, Retrieved Mon, 29 Apr 2024 16:38:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=50352, Retrieved Mon, 29 Apr 2024 16:38:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact186
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
-   PD  [Bivariate Data Series] [] [2009-10-25 17:21:06] [badc6a9acdc45286bea7f74742e15a21]
-   PD    [Bivariate Data Series] [] [2009-10-25 17:43:31] [badc6a9acdc45286bea7f74742e15a21]
- RM D      [Bivariate Explorative Data Analysis] [] [2009-10-25 17:45:33] [badc6a9acdc45286bea7f74742e15a21]
- RM            [Pearson Correlation] [] [2009-10-25 17:47:50] [0545e25c765ce26b196961216dc11e13] [Current]
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Dataseries X:
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.693147181
0.792992516
0.810930216
0.810930216
0.896088025
0.916290732
0.916290732
0.970778917
1.011600912
1.075002423
1.098612289
1.153731588
1.178654996
1.220829921
1.252762968
1.252762968
1.294727168
1.32175584
1.32175584
1.360976553
1.386294361
1.386294361
1.386294361
1.386294361
1.386294361
1.386294361
1.386294361
1.386294361
1.386294361
1.386294361
1.386294361
1.386294361
1.430311247
1.446918983
1.446918983
1.378766095
1.229640551
1.011600912
0.837247525
0.693147181
0.506817602
0.270027137
0.086177696
0
0
0
0
Dataseries Y:
1.4
1.2
1
1.7
2.4
2
2.1
2
1.8
2.7
2.3
1.9
2
2.3
2.8
2.4
2.3
2.7
2.7
2.9
3
2.2
2.3
2.8
2.8
2.8
2.2
2.6
2.8
2.5
2.4
2.3
1.9
1.7
2
2.1
1.7
1.8
1.8
1.8
1.3
1.3
1.3
1.2
1.4
2.2
2.9
3.1
3.5
3.6
4.4
4.1
5.1
5.8
5.9
5.4
5.5
4.8
3.2
2.7
2.1
1.9
0.6
0.7
-0.2
-1
-1.7
-0.7
-1




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=50352&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=50352&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50352&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
Mean0.9213473366231882.28260869565217
Biased Variance0.157305420786972.09998739760554
Biased Standard Deviation0.3966174741321541.44913332637323
Covariance0.393101551572762
Correlation0.674038015579922
Determination0.45432724644692
T-Test7.46888303108421
p-value (2 sided)2.18054019285319e-10
p-value (1 sided)1.09027009642659e-10
Degrees of Freedom67
Number of Observations69

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 0.921347336623188 & 2.28260869565217 \tabularnewline
Biased Variance & 0.15730542078697 & 2.09998739760554 \tabularnewline
Biased Standard Deviation & 0.396617474132154 & 1.44913332637323 \tabularnewline
Covariance & 0.393101551572762 \tabularnewline
Correlation & 0.674038015579922 \tabularnewline
Determination & 0.45432724644692 \tabularnewline
T-Test & 7.46888303108421 \tabularnewline
p-value (2 sided) & 2.18054019285319e-10 \tabularnewline
p-value (1 sided) & 1.09027009642659e-10 \tabularnewline
Degrees of Freedom & 67 \tabularnewline
Number of Observations & 69 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50352&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]0.921347336623188[/C][C]2.28260869565217[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.15730542078697[/C][C]2.09998739760554[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.396617474132154[/C][C]1.44913332637323[/C][/ROW]
[ROW][C]Covariance[/C][C]0.393101551572762[/C][/ROW]
[ROW][C]Correlation[/C][C]0.674038015579922[/C][/ROW]
[ROW][C]Determination[/C][C]0.45432724644692[/C][/ROW]
[ROW][C]T-Test[/C][C]7.46888303108421[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]2.18054019285319e-10[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]1.09027009642659e-10[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]67[/C][/ROW]
[ROW][C]Number of Observations[/C][C]69[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50352&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50352&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
Mean0.9213473366231882.28260869565217
Biased Variance0.157305420786972.09998739760554
Biased Standard Deviation0.3966174741321541.44913332637323
Covariance0.393101551572762
Correlation0.674038015579922
Determination0.45432724644692
T-Test7.46888303108421
p-value (2 sided)2.18054019285319e-10
p-value (1 sided)1.09027009642659e-10
Degrees of Freedom67
Number of Observations69



Parameters (Session):
par1 = 0 ; par2 = 36 ;
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')