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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 computationThu, 25 Nov 2010 09:36:10 +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/2010/Nov/25/t1290678147q9gaf790yjbbce5.htm/, Retrieved Fri, 19 Apr 2024 23:50:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=100683, Retrieved Fri, 19 Apr 2024 23:50:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Linear Regression Graphical Model Validation] [Colombia Coffee -...] [2008-02-26 10:22:06] [74be16979710d4c4e7c6647856088456]
- RMPD    [Pearson Correlation] [correlatiecoëffi...] [2010-11-25 09:36:10] [03bcd8c83ef1a42b4029a16ba47a4880] [Current]
-    D      [Pearson Correlation] [correlatiecoëffi...] [2010-11-25 19:51:28] [96348ef82925ade81ab3c243141d80f1]
- RM D      [] [Paper (Pearson Co...] [1970-01-01 00:00:00] [845827b7f02503df17c96f445745fee7]
- RM D        [Pearson Correlation] [Paper (Pearson Co...] [2010-12-27 11:37:20] [845827b7f02503df17c96f445745fee7]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.2
1.4
3.4
2
2.4
2.4
2.2
2.2
2.4
2.6
2.8
3.2
2.2
2
2.2
3
1.8
2.2
3.4
3.4
2.2
3.6
2.8
2
2.2
3
3
2.6
3.2
2.6
1.8
3.6
3.6
2.4
3.4
1.8
1.8
2.4
3.6
2.4
3.6
2.8
3
3.2
2
2.2
2.8
1.8
2.4
3.4
1
2.4
2.4
1.2
4.8
2.4
2.4
2.8
1.4
2.6
2.4
2.6
2.8
1.6
2.2
1.8
2.2
2.6
2
2.2
2.4
1.8
3
3.6
3
2.4
2.6
2.8
2
2.6
2.6
2.2
2.6
3.2
1.6
3.2
2.2
1.8
3.2
2.4
2.8
1.6
1.8
3
2.2
4.2
2.8
3.6
2.4
2.6
3
2.4
3.8
3
2.2
2.2
2
2.6
3
2.4
2.4
3.2
1.8
3.6
1.6
2.6
3.4
1.8
3
1.6
1.4
2.4
2.8
1.2
1.6
3.4
2
2.2
2.8
2.2
2.6
2.4
2.2
1.8
2.4
4
2.4
2.6
2.4
2.4
1.8
3
4.8
1.4
3.4
2.2
3.4
2.2
2.4
2.8
2.2
3.2
4.2
2.8
4
2.6
2.2
3
3.8
Dataseries Y:
Download CSV
Histogram 
3.43
3.57
4.29
2.71
3.14
3.14
3.57
3.29
2.43
3.00
2.71
2.71
2.14
2.29
3.29
3.86
3.14
2.00
3.14
3.29
3.29
3.00
2.71
2.57
2.86
3.29
3.57
2.71
3.43
3.14
3.57
3.71
4.14
4.57
3.57
4.14
4.00
2.43
4.00
4.14
3.71
3.57
2.00
3.57
3.71
2.86
2.57
4.57
3.57
3.57
3.29
3.00
2.86
2.14
4.29
3.43
3.71
3.43
3.14
2.00
3.43
3.43
3.43
3.43
2.71
4.43
3.14
3.86
2.71
3.57
2.86
3.00
3.86
3.29
3.57
2.86
3.00
3.14
3.29
3.57
3.57
2.43
2.71
3.57
2.71
2.86
3.71
3.29
3.86
2.43
2.43
2.71
2.43
3.14
3.00
4.57
3.00
3.00
2.57
2.57
3.29
2.71
2.86
3.00
2.86
2.43
2.57
2.71
3.14
2.14
2.00
2.57
3.43
5.00
4.14
3.00
3.57
2.86
3.14
1.86
3.71
2.43
3.57
2.86
2.71
3.00
3.14
3.43
3.00
3.71
3.43
2.29
3.29
2.57
2.29
3.71
2.71
3.00
3.00
3.14
3.29
4.14
3.00
3.00
3.29
3.86
3.57
3.00
1.43
2.86
3.71
3.43
4.14
2.71
3.43
2.71
3.43
3.14
2.43

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=100683&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=100683&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=100683&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean2.571069182389943.16320754716981
Biased Variance0.4718674103081370.360502290257506
Biased Standard Deviation0.6869260588361290.600418429312014
Covariance0.101194650107476
Correlation0.243811120194403
Determination0.0594438623304494
T-Test3.15000305625423
p-value (2 sided)0.00195518251875737
p-value (1 sided)0.000977591259378685
Degrees of Freedom157
Number of Observations159

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 2.57106918238994 & 3.16320754716981 \tabularnewline
Biased Variance & 0.471867410308137 & 0.360502290257506 \tabularnewline
Biased Standard Deviation & 0.686926058836129 & 0.600418429312014 \tabularnewline
Covariance & 0.101194650107476 \tabularnewline
Correlation & 0.243811120194403 \tabularnewline
Determination & 0.0594438623304494 \tabularnewline
T-Test & 3.15000305625423 \tabularnewline
p-value (2 sided) & 0.00195518251875737 \tabularnewline
p-value (1 sided) & 0.000977591259378685 \tabularnewline
Degrees of Freedom & 157 \tabularnewline
Number of Observations & 159 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=100683&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]2.57106918238994[/C][C]3.16320754716981[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.471867410308137[/C][C]0.360502290257506[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.686926058836129[/C][C]0.600418429312014[/C][/ROW]
[ROW][C]Covariance[/C][C]0.101194650107476[/C][/ROW]
[ROW][C]Correlation[/C][C]0.243811120194403[/C][/ROW]
[ROW][C]Determination[/C][C]0.0594438623304494[/C][/ROW]
[ROW][C]T-Test[/C][C]3.15000305625423[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.00195518251875737[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.000977591259378685[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]157[/C][/ROW]
[ROW][C]Number of Observations[/C][C]159[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=100683&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=100683&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
Mean2.571069182389943.16320754716981
Biased Variance0.4718674103081370.360502290257506
Biased Standard Deviation0.6869260588361290.600418429312014
Covariance0.101194650107476
Correlation0.243811120194403
Determination0.0594438623304494
T-Test3.15000305625423
p-value (2 sided)0.00195518251875737
p-value (1 sided)0.000977591259378685
Degrees of Freedom157
Number of Observations159


Figures (Output of Computation)

Input Parameters & R Code

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')