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Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationSun, 21 Oct 2007 13:06:29 -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/2007/Oct/21/pmlkv5ybpmx5niz1192996921.htm/, Retrieved Thu, 09 May 2024 07:21:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1283, Retrieved Thu, 09 May 2024 07:21:16 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Investigating Ass...] [2007-10-21 20:06:29] [640491d00f3c9cca22cbf779aa38ac16] [Current]
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Dataseries X:
99,00
115,40
106,90
107,10
99,30
99,20
108,30
105,60
99,50
107,40
93,10
88,10
110,70
113,10
99,60
93,60
98,60
99,60
114,30
107,80
101,20
112,50
100,50
93,90
116,20
112,00
106,40
95,70
96,00
95,80
103,00
102,20
98,40
111,40
86,60
91,30
107,90
101,80
104,40
93,40
100,10
98,50
112,90
101,40
107,10
110,80
90,30
95,50
111,40
113,00
107,50
95,90
106,30
105,20
117,20
106,90
108,20
110,00
96,10
100,60
Dataseries Y:
101,50
126,60
93,90
89,80
93,40
101,50
110,40
105,90
108,40
113,90
86,10
69,40
101,20
100,50
98,00
106,60
90,10
96,90
125,90
112,00
100,00
123,90
79,80
83,40
113,60
112,90
104,00
109,90
99,00
106,30
128,90
111,10
102,90
130,00
87,00
87,50
117,60
103,40
110,80
112,60
102,50
112,40
135,60
105,10
127,70
137,00
91,00
90,50
122,40
123,30
124,30
120,00
118,10
119,00
142,70
123,60
129,60
146,90
108,70
99,40




Summary of compuational 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 compuational 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=1283&T=0

[TABLE]
[ROW][C]Summary of compuational 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=1283&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1283&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 compuational 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
Mean103.195108.94
Biased Variance55.0978083333333252.931066666667
Biased Standard Deviation7.422789794515.9038066721985
Covariance83.1405423728814
Correlation0.69254080087678
Determination0.479612760879053
T-Test7.31132420987442
p-value (2 sided)8.78705996854023e-10
p-value (1 sided)4.39352998427012e-10
Degrees of Freedom58
Number of Observations60

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 103.195 & 108.94 \tabularnewline
Biased Variance & 55.0978083333333 & 252.931066666667 \tabularnewline
Biased Standard Deviation & 7.4227897945 & 15.9038066721985 \tabularnewline
Covariance & 83.1405423728814 \tabularnewline
Correlation & 0.69254080087678 \tabularnewline
Determination & 0.479612760879053 \tabularnewline
T-Test & 7.31132420987442 \tabularnewline
p-value (2 sided) & 8.78705996854023e-10 \tabularnewline
p-value (1 sided) & 4.39352998427012e-10 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1283&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]103.195[/C][C]108.94[/C][/ROW]
[ROW][C]Biased Variance[/C][C]55.0978083333333[/C][C]252.931066666667[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]7.4227897945[/C][C]15.9038066721985[/C][/ROW]
[ROW][C]Covariance[/C][C]83.1405423728814[/C][/ROW]
[ROW][C]Correlation[/C][C]0.69254080087678[/C][/ROW]
[ROW][C]Determination[/C][C]0.479612760879053[/C][/ROW]
[ROW][C]T-Test[/C][C]7.31132420987442[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]8.78705996854023e-10[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]4.39352998427012e-10[/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=1283&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1283&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
Mean103.195108.94
Biased Variance55.0978083333333252.931066666667
Biased Standard Deviation7.422789794515.9038066721985
Covariance83.1405423728814
Correlation0.69254080087678
Determination0.479612760879053
T-Test7.31132420987442
p-value (2 sided)8.78705996854023e-10
p-value (1 sided)4.39352998427012e-10
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')