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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 computationThu, 18 Dec 2008 05:19:41 -0700
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/Dec/18/t1229603353p47zfvi2id0wxbc.htm/, Retrieved Sun, 12 May 2024 09:18:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34707, Retrieved Sun, 12 May 2024 09:18:40 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact176
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [paper: pearson co...] [2008-12-18 12:19:41] [366411ff82333cf2a466cacd3525c11d] [Current]
-         [Pearson Correlation] [verhoogde waarde ...] [2008-12-19 23:38:31] [5161246d1ccc1b670cc664d03050f084]
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Dataseries X:
-3
6.2
25.3
7.6
-2.8
11
15.6
13.4
189
-7.3
3.1
-11.4
1.1
16.1
-11.3
-5
9.4
5.5
-5.1
10
-178.2
14.9
5.6
8.9
11.3
13.8
19.3
16.7
14.8
10.2
9
10.8
23.4
14.1
14.6
7.3
15.6
13.7
22.3
25.7
11.8
-2.7
31.4
17.7
8.9
12.7
-2.3
9
Dataseries Y:
7.7
17
14.5
6.9
8.3
7.9
10.1
10.8
10.9
6.3
9.2
11.7
7.1
13.6
11.1
15.2
17
20.3
9.2
17.6
14.1
12.1
11.5
10.5
14.9
11.6
2.4
16.2
9.2
5.2
7.6
10.6
9.5
14.2
7.9
6.7
15.3
9.2
10.1
10
15.7
3.7
24.4
7
10.4
19.5
6.4
14.6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34707&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]0 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=34707&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34707&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean9.3270833333333311.3104166666667
Biased Variance1492.6078081597219.6271831597222
Biased Standard Deviation38.63428280892144.43025768547635
Covariance-1.32284131205673
Correlation-0.00756767595901393
Determination5.72697194206374e-05
T-Test-0.0513279453489546
p-value (2 sided)0.95928644475143
p-value (1 sided)0.479643222375714
Degrees of Freedom46
Number of Observations48

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 9.32708333333333 & 11.3104166666667 \tabularnewline
Biased Variance & 1492.60780815972 & 19.6271831597222 \tabularnewline
Biased Standard Deviation & 38.6342828089214 & 4.43025768547635 \tabularnewline
Covariance & -1.32284131205673 \tabularnewline
Correlation & -0.00756767595901393 \tabularnewline
Determination & 5.72697194206374e-05 \tabularnewline
T-Test & -0.0513279453489546 \tabularnewline
p-value (2 sided) & 0.95928644475143 \tabularnewline
p-value (1 sided) & 0.479643222375714 \tabularnewline
Degrees of Freedom & 46 \tabularnewline
Number of Observations & 48 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34707&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]9.32708333333333[/C][C]11.3104166666667[/C][/ROW]
[ROW][C]Biased Variance[/C][C]1492.60780815972[/C][C]19.6271831597222[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]38.6342828089214[/C][C]4.43025768547635[/C][/ROW]
[ROW][C]Covariance[/C][C]-1.32284131205673[/C][/ROW]
[ROW][C]Correlation[/C][C]-0.00756767595901393[/C][/ROW]
[ROW][C]Determination[/C][C]5.72697194206374e-05[/C][/ROW]
[ROW][C]T-Test[/C][C]-0.0513279453489546[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.95928644475143[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.479643222375714[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]46[/C][/ROW]
[ROW][C]Number of Observations[/C][C]48[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34707&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34707&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
Mean9.3270833333333311.3104166666667
Biased Variance1492.6078081597219.6271831597222
Biased Standard Deviation38.63428280892144.43025768547635
Covariance-1.32284131205673
Correlation-0.00756767595901393
Determination5.72697194206374e-05
T-Test-0.0513279453489546
p-value (2 sided)0.95928644475143
p-value (1 sided)0.479643222375714
Degrees of Freedom46
Number of Observations48



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')