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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 computationSat, 06 Dec 2008 05:56:28 -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/06/t1228568254bl5lcyqilxrbcxv.htm/, Retrieved Fri, 17 May 2024 05:13:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29562, Retrieved Fri, 17 May 2024 05:13:47 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Correlation Energ...] [2008-12-06 12:56:28] [6912578025c824de531bc660dd61b996] [Current]
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Dataseries X:
109
109
109,2
113,3
112,3
112,3
116,3
118,3
119,4
119,4
119,4
120,1
121,7
123,7
123,7
128,5
127,1
122,6
119,8
122,7
123,4
123,8
121,8
121,2
121,2
121,2
121,2
129,6
131
131
129,8
129,8
134,9
131,2
127,1
130,5
130,5
131,7
131,7
131,7
131,7
128,7
125
124,5
123
122,8
123,1
124,8
126,9
131,7
136,8
143,7
150,1
152,7
152,6
150,5
154,9
158
158,1
160,6
160,6
Dataseries Y:
99,2
99,5
99,3
99,9
100
100,3
100,5
100,7
100,9
100,8
100,9
101
100,3
100,1
99,8
99,9
99,9
100,2
99,7
100,4
100,9
101,3
101,4
101,3
100,9
100,9
100,9
101,1
101,1
101,3
101,8
102,9
103,2
103,3
104,5
105
104,9
104,9
105,4
106
105,7
105,9
106,2
106,4
106,9
107,3
107,9
109,2
110,2
110,2
110,5
110,6
110,8
111,3
111,1
111,2
111,2
111,1
111,5
112,1
111,4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29562&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29562&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29562&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean128.9104.180327868852
Biased Variance166.87967213114818.3514162859446
Biased Standard Deviation12.91819151937104.28385530637353
Covariance46.0663333333333
Correlation0.818782494290757
Determination0.670404772956994
T-Test10.9547910334382
p-value (2 sided)6.66133814775094e-16
p-value (1 sided)3.33066907387547e-16
Degrees of Freedom59
Number of Observations61

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 128.9 & 104.180327868852 \tabularnewline
Biased Variance & 166.879672131148 & 18.3514162859446 \tabularnewline
Biased Standard Deviation & 12.9181915193710 & 4.28385530637353 \tabularnewline
Covariance & 46.0663333333333 \tabularnewline
Correlation & 0.818782494290757 \tabularnewline
Determination & 0.670404772956994 \tabularnewline
T-Test & 10.9547910334382 \tabularnewline
p-value (2 sided) & 6.66133814775094e-16 \tabularnewline
p-value (1 sided) & 3.33066907387547e-16 \tabularnewline
Degrees of Freedom & 59 \tabularnewline
Number of Observations & 61 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29562&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]128.9[/C][C]104.180327868852[/C][/ROW]
[ROW][C]Biased Variance[/C][C]166.879672131148[/C][C]18.3514162859446[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]12.9181915193710[/C][C]4.28385530637353[/C][/ROW]
[ROW][C]Covariance[/C][C]46.0663333333333[/C][/ROW]
[ROW][C]Correlation[/C][C]0.818782494290757[/C][/ROW]
[ROW][C]Determination[/C][C]0.670404772956994[/C][/ROW]
[ROW][C]T-Test[/C][C]10.9547910334382[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]6.66133814775094e-16[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]3.33066907387547e-16[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]59[/C][/ROW]
[ROW][C]Number of Observations[/C][C]61[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29562&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29562&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
Mean128.9104.180327868852
Biased Variance166.87967213114818.3514162859446
Biased Standard Deviation12.91819151937104.28385530637353
Covariance46.0663333333333
Correlation0.818782494290757
Determination0.670404772956994
T-Test10.9547910334382
p-value (2 sided)6.66133814775094e-16
p-value (1 sided)3.33066907387547e-16
Degrees of Freedom59
Number of Observations61



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')