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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 11:19:19 +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/t1292239048l7quru8mb1hjmmz.htm/, Retrieved Mon, 06 May 2024 14:25:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108852, Retrieved Mon, 06 May 2024 14:25:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Negatieve correla...] [2010-12-13 11:19:19] [1638ccfec791c539017705f3e680eb33] [Current]
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Dataseries X:
2.0
1.8
.7
3.9
1.0
3.6
1.4
1.5
.7
2.1
.0
4.1
1.2
.3
.5
3.4
1.5
3.4
.8
.8
1.4
2.0
1.9
2.4
2.8
1.3
2.0
5.6
3.1
1.0
1.8
.9
1.8
1.9
.9
2.6
2.4
1.2
.9
.5
.6
2.3
.5
2.6
.6
6.6
Dataseries Y:
42.0
624.0
180.0
35.0
392.0
63.0
230.0
112.0
281.0
42.0
28.0
42.0
120.0
400.0
148.0
16.0
310.0
28.0
68.0
336.0
21.5
50.0
267.0
30.0
45.0
19.0
30.0
12.0
120.0
440.0
140.0
170.0
17.0
115.0
31.0
21.0
52.0
164.0
225.0
225.0
151.0
60.0
200.0
46.0
210.0
14.0




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=108852&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=108852&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108852&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
Mean1.87608695652174138.532608695652
Biased Variance1.8148629489603018542.1782844991
Biased Standard Deviation1.34716849315900136.169667270281
Covariance-84.552536231884
Correlation-0.450898746314235
Determination0.203309679427749
T-Test-3.35089327326356
p-value (2 sided)0.00166189757755182
p-value (1 sided)0.000830948788775908
Degrees of Freedom44
Number of Observations46

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 1.87608695652174 & 138.532608695652 \tabularnewline
Biased Variance & 1.81486294896030 & 18542.1782844991 \tabularnewline
Biased Standard Deviation & 1.34716849315900 & 136.169667270281 \tabularnewline
Covariance & -84.552536231884 \tabularnewline
Correlation & -0.450898746314235 \tabularnewline
Determination & 0.203309679427749 \tabularnewline
T-Test & -3.35089327326356 \tabularnewline
p-value (2 sided) & 0.00166189757755182 \tabularnewline
p-value (1 sided) & 0.000830948788775908 \tabularnewline
Degrees of Freedom & 44 \tabularnewline
Number of Observations & 46 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108852&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]1.87608695652174[/C][C]138.532608695652[/C][/ROW]
[ROW][C]Biased Variance[/C][C]1.81486294896030[/C][C]18542.1782844991[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]1.34716849315900[/C][C]136.169667270281[/C][/ROW]
[ROW][C]Covariance[/C][C]-84.552536231884[/C][/ROW]
[ROW][C]Correlation[/C][C]-0.450898746314235[/C][/ROW]
[ROW][C]Determination[/C][C]0.203309679427749[/C][/ROW]
[ROW][C]T-Test[/C][C]-3.35089327326356[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.00166189757755182[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.000830948788775908[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]44[/C][/ROW]
[ROW][C]Number of Observations[/C][C]46[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108852&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108852&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
Mean1.87608695652174138.532608695652
Biased Variance1.8148629489603018542.1782844991
Biased Standard Deviation1.34716849315900136.169667270281
Covariance-84.552536231884
Correlation-0.450898746314235
Determination0.203309679427749
T-Test-3.35089327326356
p-value (2 sided)0.00166189757755182
p-value (1 sided)0.000830948788775908
Degrees of Freedom44
Number of Observations46



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')