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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 computationFri, 31 Oct 2008 06:40:16 -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/2008/Oct/31/t1225456899w45sfvi0zu5z4vu.htm/, Retrieved Sat, 11 May 2024 15:41:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20237, Retrieved Sat, 11 May 2024 15:41:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Bouwvergunningen ...] [2008-10-20 21:37:46] [1376d48f59a7212e8dd85a587491a69b]
F   PD  [Univariate Data Series] [Bouwvergunningen ...] [2008-10-24 14:19:20] [1376d48f59a7212e8dd85a587491a69b]
- RMPD      [Pearson Correlation] [] [2008-10-31 12:40:16] [de3f0516a1536f7c4a656924d8bc8d07] [Current]
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Dataseries X:
4.2
4.2
4.2
4.2
4.2
4.2
4.2
4.2
4.2
2.6
2.6
2.6
2.6
2.6
2.6
3
3.8
4
3.5
4.1
Dataseries Y:
20,8
20,8
20,8
20,8
20,8
20,8
20,8
20,8
20,8
17,1
17,1
17,1
17,1
17,1
17,1
22,3
25,1
27,7
24,9
29,5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20237&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20237&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20237&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' @ 72.249.127.135







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean3.5920.965
Biased Variance0.502912.122275
Biased Standard Deviation0.7091544260596563.48170576011242
Covariance1.52068421052632
Correlation0.585099541945465
Determination0.342341473984793
T-Test3.06101729415992
p-value (2 sided)0.00672873441145283
p-value (1 sided)0.00336436720572642
Degrees of Freedom18
Number of Observations20

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 3.59 & 20.965 \tabularnewline
Biased Variance & 0.5029 & 12.122275 \tabularnewline
Biased Standard Deviation & 0.709154426059656 & 3.48170576011242 \tabularnewline
Covariance & 1.52068421052632 \tabularnewline
Correlation & 0.585099541945465 \tabularnewline
Determination & 0.342341473984793 \tabularnewline
T-Test & 3.06101729415992 \tabularnewline
p-value (2 sided) & 0.00672873441145283 \tabularnewline
p-value (1 sided) & 0.00336436720572642 \tabularnewline
Degrees of Freedom & 18 \tabularnewline
Number of Observations & 20 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20237&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]3.59[/C][C]20.965[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.5029[/C][C]12.122275[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.709154426059656[/C][C]3.48170576011242[/C][/ROW]
[ROW][C]Covariance[/C][C]1.52068421052632[/C][/ROW]
[ROW][C]Correlation[/C][C]0.585099541945465[/C][/ROW]
[ROW][C]Determination[/C][C]0.342341473984793[/C][/ROW]
[ROW][C]T-Test[/C][C]3.06101729415992[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.00672873441145283[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.00336436720572642[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]18[/C][/ROW]
[ROW][C]Number of Observations[/C][C]20[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20237&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20237&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
Mean3.5920.965
Biased Variance0.502912.122275
Biased Standard Deviation0.7091544260596563.48170576011242
Covariance1.52068421052632
Correlation0.585099541945465
Determination0.342341473984793
T-Test3.06101729415992
p-value (2 sided)0.00672873441145283
p-value (1 sided)0.00336436720572642
Degrees of Freedom18
Number of Observations20



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')