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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 computationMon, 13 Dec 2010 19:30:35 +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/Dec/13/t1292268540vcj8g7t2tasq2h5.htm/, Retrieved Tue, 07 May 2024 03:03:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109100, Retrieved Tue, 07 May 2024 03:03:00 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact141
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Pearson Correlation] [correlatie totale...] [2010-12-13 10:33:14] [dc30d19c3bc2be07fe595ad36c2cf923]
-    D    [Pearson Correlation] [Correlatie Totale...] [2010-12-13 19:30:35] [1638ccfec791c539017705f3e680eb33] [Current]
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Dataseries X:
3.3
8.3
12.5
3.9
9.8
19.7
6.2
14.5
9.7
12.5
3.9
3.1
8.4
8.6
10.7
10.7
6.1
18.1
3.8
14.4
12.0
6.2
13.0
13.8
8.2
2.9
10.8
9.1
19.9
8.0
13.2
12.8
19.4
17.4
17.0
10.9
13.7
8.4
8.4
12.5
13.2
9.8
9.6
6.6
5.4
2.6
3.8
11.0
10.3
13.3
5.4
15.8
10.3
19.4
Dataseries Y:
38.6
4.5
14.0
69.0
27.0
19.0
30.4
28.0
50.0
7.0
30.0
40.0
3.5
50.0
6.0
10.4
34.0
7.0
20.0
3.9
39.3
41.0
16.2
9.0
7.6
46.0
22.4
2.6
24.0
100.0
3.2
2.0
5.0
6.5
12.0
20.2
13.0
27.0
18.0
13.7
4.7
9.8
29.0
7.0
6.0
17.0
20.0
12.7
3.5
4.5
7.5
2.3
24.0
3.0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109100&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109100&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109100&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'George Udny Yule' @ 72.249.76.132







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean10.412962962963019.8518518518519
Biased Variance21.7181652949246347.290644718793
Biased Standard Deviation4.6602752381082118.6357356903019
Covariance-36.2972886093641
Correlation-0.41020238875955
Determination0.168265999744041
T-Test-3.2434531509525
p-value (2 sided)0.00206554908880522
p-value (1 sided)0.00103277454440261
Degrees of Freedom52
Number of Observations54

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 10.4129629629630 & 19.8518518518519 \tabularnewline
Biased Variance & 21.7181652949246 & 347.290644718793 \tabularnewline
Biased Standard Deviation & 4.66027523810821 & 18.6357356903019 \tabularnewline
Covariance & -36.2972886093641 \tabularnewline
Correlation & -0.41020238875955 \tabularnewline
Determination & 0.168265999744041 \tabularnewline
T-Test & -3.2434531509525 \tabularnewline
p-value (2 sided) & 0.00206554908880522 \tabularnewline
p-value (1 sided) & 0.00103277454440261 \tabularnewline
Degrees of Freedom & 52 \tabularnewline
Number of Observations & 54 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109100&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]10.4129629629630[/C][C]19.8518518518519[/C][/ROW]
[ROW][C]Biased Variance[/C][C]21.7181652949246[/C][C]347.290644718793[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]4.66027523810821[/C][C]18.6357356903019[/C][/ROW]
[ROW][C]Covariance[/C][C]-36.2972886093641[/C][/ROW]
[ROW][C]Correlation[/C][C]-0.41020238875955[/C][/ROW]
[ROW][C]Determination[/C][C]0.168265999744041[/C][/ROW]
[ROW][C]T-Test[/C][C]-3.2434531509525[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.00206554908880522[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.00103277454440261[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]52[/C][/ROW]
[ROW][C]Number of Observations[/C][C]54[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109100&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109100&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
Mean10.412962962963019.8518518518519
Biased Variance21.7181652949246347.290644718793
Biased Standard Deviation4.6602752381082118.6357356903019
Covariance-36.2972886093641
Correlation-0.41020238875955
Determination0.168265999744041
T-Test-3.2434531509525
p-value (2 sided)0.00206554908880522
p-value (1 sided)0.00103277454440261
Degrees of Freedom52
Number of Observations54



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')