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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 computationWed, 17 Dec 2008 15:07:52 -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/17/t1229551745oglkv2xz6nco74d.htm/, Retrieved Sun, 19 May 2024 04:11:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34585, Retrieved Sun, 19 May 2024 04:11:51 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [correlation gezui...] [2008-12-17 22:07:52] [e515c0250d6233b5d2604259ab52cebe] [Current]
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Dataseries X:
-3
6,2
25,3
7,6
-2,8
11
15,6
13,4
5,4
-7,3
3,1
-11,4
1,1
16,1
-11,3
-5
9,4
5,5
-5,1
10
5,4
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 time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34585&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34585&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34585&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean9.3270833333333311.3104166666667
Biased Variance88.067808159722219.6271831597222
Biased Standard Deviation9.384445010746364.43025768547635
Covariance11.1775842198582
Correlation0.263249157463429
Determination0.0693001189052054
T-Test1.85072152677490
p-value (2 sided)0.0706372395614552
p-value (1 sided)0.0353186197807276
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 & 88.0678081597222 & 19.6271831597222 \tabularnewline
Biased Standard Deviation & 9.38444501074636 & 4.43025768547635 \tabularnewline
Covariance & 11.1775842198582 \tabularnewline
Correlation & 0.263249157463429 \tabularnewline
Determination & 0.0693001189052054 \tabularnewline
T-Test & 1.85072152677490 \tabularnewline
p-value (2 sided) & 0.0706372395614552 \tabularnewline
p-value (1 sided) & 0.0353186197807276 \tabularnewline
Degrees of Freedom & 46 \tabularnewline
Number of Observations & 48 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34585&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]88.0678081597222[/C][C]19.6271831597222[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]9.38444501074636[/C][C]4.43025768547635[/C][/ROW]
[ROW][C]Covariance[/C][C]11.1775842198582[/C][/ROW]
[ROW][C]Correlation[/C][C]0.263249157463429[/C][/ROW]
[ROW][C]Determination[/C][C]0.0693001189052054[/C][/ROW]
[ROW][C]T-Test[/C][C]1.85072152677490[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.0706372395614552[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.0353186197807276[/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=34585&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34585&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 Variance88.067808159722219.6271831597222
Biased Standard Deviation9.384445010746364.43025768547635
Covariance11.1775842198582
Correlation0.263249157463429
Determination0.0693001189052054
T-Test1.85072152677490
p-value (2 sided)0.0706372395614552
p-value (1 sided)0.0353186197807276
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')