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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, 17 Dec 2010 11:31:48 +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/17/t1292585394lzo12lgpqxpgsul.htm/, Retrieved Tue, 07 May 2024 03:29:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=111392, Retrieved Tue, 07 May 2024 03:29:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Paired and Unpaired Two Samples Tests about the Mean] [Dagelijkse omzet ...] [2010-10-25 11:22:12] [b98453cac15ba1066b407e146608df68]
-   PD  [Paired and Unpaired Two Samples Tests about the Mean] [ws 5 - question 1] [2010-10-29 11:09:06] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
- RMPD    [Histogram] [paper - histogram] [2010-12-15 15:48:33] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
- RMPD        [Pearson Correlation] [paper - correlatie] [2010-12-17 11:31:48] [6ea41cf020a5319fc3c331a4158019e5] [Current]
- RMPD          [Kendall tau Correlation Matrix] [paper - pearson c...] [2010-12-17 11:58:58] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
- RMPD          [Kendall tau Correlation Matrix] [paper - kendall c...] [2010-12-17 12:01:23] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
- RMPD          [Kendall tau Correlation Matrix] [paper - spearman ...] [2010-12-17 12:02:48] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
-    D          [Pearson Correlation] [paper - correlatie] [2010-12-17 12:06:04] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
- RMPD          [Bivariate Kernel Density Estimation] [paper - bivariate...] [2010-12-17 12:13:42] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
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Dataseries X:
296,95
296,84
287,54
287,81
283,99
275,79
269,52
278,35
283,43
289,46
282,30
293,55
304,78
300,99
315,29
316,21
331,79
329,38
317,27
317,98
340,28
339,21
336,71
340,11
347,72
328,68
303,05
299,83
320,04
317,94
303,31
308,85
319,19
314,52
312,39
315,77
320,23
309,45
296,54
297,28
301,39
306,68
305,91
314,76
323,34
341,58
330,12
318,16
317,84
325,39
327,56
329,77
333,29
346,10
358,00
344,82
313,30
301,26
306,38
319,31
Dataseries Y:
17,20
17,20
17,20
17,20
20,63
20,63
20,63
20,63
19,32
19,32
19,32
19,32
12,99
12,99
12,99
12,99
18,13
18,13
18,13
18,13
28,37
28,37
28,37
28,37
24,35
24,35
24,35
24,35
24,99
24,99
24,99
24,99
28,84
28,84
28,84
28,84
37,88
37,88
37,88
37,88
54,04
54,04
54,04
54,04
64,93
64,93
64,93
64,93
71,81
71,81
71,81
71,81
99,75
99,75
99,75
99,75
61,25
61,25
61,25
61,25




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=111392&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=111392&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111392&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean313.25466666666738.9653333333333
Biased Variance382.213361555556606.741691555556
Biased Standard Deviation19.550277787171124.6321272235176
Covariance252.122325536723
Correlation0.514822138164715
Determination0.265041833944489
T-Test4.57340751361637
p-value (2 sided)2.57099771261426e-05
p-value (1 sided)1.28549885630713e-05
Degrees of Freedom58
Number of Observations60

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 313.254666666667 & 38.9653333333333 \tabularnewline
Biased Variance & 382.213361555556 & 606.741691555556 \tabularnewline
Biased Standard Deviation & 19.5502777871711 & 24.6321272235176 \tabularnewline
Covariance & 252.122325536723 \tabularnewline
Correlation & 0.514822138164715 \tabularnewline
Determination & 0.265041833944489 \tabularnewline
T-Test & 4.57340751361637 \tabularnewline
p-value (2 sided) & 2.57099771261426e-05 \tabularnewline
p-value (1 sided) & 1.28549885630713e-05 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=111392&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]313.254666666667[/C][C]38.9653333333333[/C][/ROW]
[ROW][C]Biased Variance[/C][C]382.213361555556[/C][C]606.741691555556[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]19.5502777871711[/C][C]24.6321272235176[/C][/ROW]
[ROW][C]Covariance[/C][C]252.122325536723[/C][/ROW]
[ROW][C]Correlation[/C][C]0.514822138164715[/C][/ROW]
[ROW][C]Determination[/C][C]0.265041833944489[/C][/ROW]
[ROW][C]T-Test[/C][C]4.57340751361637[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]2.57099771261426e-05[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]1.28549885630713e-05[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]58[/C][/ROW]
[ROW][C]Number of Observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=111392&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111392&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
Mean313.25466666666738.9653333333333
Biased Variance382.213361555556606.741691555556
Biased Standard Deviation19.550277787171124.6321272235176
Covariance252.122325536723
Correlation0.514822138164715
Determination0.265041833944489
T-Test4.57340751361637
p-value (2 sided)2.57099771261426e-05
p-value (1 sided)1.28549885630713e-05
Degrees of Freedom58
Number of Observations60



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')