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Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationMon, 21 Jan 2008 09:12:58 -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/Jan/21/t1200931925zj05u33wnn8pl9v.htm/, Retrieved Wed, 15 May 2024 08:51:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8039, Retrieved Wed, 15 May 2024 08:51:00 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact261
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [] [2008-01-21 16:12:58] [80e26e27d8b229550cb490fed3b7813c] [Current]
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Dataseries X:
88
67
74
65
70
67
69
27
62
54
81
68
78
64
66
49
83
76
64
68
58
64
64
91
95
64
45
72
59
72
65
0
61
65
66
53
61
86
86
68
91
70
0
75
50
82
82
60
50
0
73
84
64
68
73
63
0
62
61
43
70
90
11
86
72
72
59
0
63
78
49
70
94
80
90
85
91
101
0
87
83
60
78
81
88
63
64
44
72
60
84
25
85
61
54
37
81
74
68
0
79
95
87
0
73
71
49
69
75
89
18
57
67
72
67
66
69
33
65
40
54
78
68
72
73
22
54
82
74
60
81
87
75
73
77
48
66
83
69
65
56
76
54
98
87
75
Dataseries Y:
2
4
2
6
6
6
2
6
2
6
6
1
2
2
1
2
1
3
6
6
2
2
2
3
3
4
6
4
5
2
6
2
1
6
1
6
6
6
6
4
2
1
2
6
6
2
3
6
6
1
3
2
2
5
3
5
3
2
4
2
6
2
2
4
1
3
1
4
3
1
3
2
1
1
3
3
6
6
2
6
5
3
2
4
1
2
4
1
2
2
4
4
6
1
1
4
1
2
1
3
1
3
6
6
4
1
5
6
6
2
2
6
4
1
6
1
1
1
3
1
5
2
2
6
4
1
2
1
2
1
2
1
2
4
4
4
4
1
2
4
3
3
3
1
4
3




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=8039&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=8039&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8039&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
Mean64.68493150684933.18493150684932
Biased Variance485.8185400638023.28771814599362
Biased Standard Deviation22.04129170588241.81320659219892
Covariance0.693150684931507
Correlation0.0172249698955197
Determination0.000296699587901559
T-Test0.206730309420205
p-value (2 sided)0.836512513023342
p-value (1 sided)0.418256256511671
Degrees of Freedom144
Number of Observations146

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 64.6849315068493 & 3.18493150684932 \tabularnewline
Biased Variance & 485.818540063802 & 3.28771814599362 \tabularnewline
Biased Standard Deviation & 22.0412917058824 & 1.81320659219892 \tabularnewline
Covariance & 0.693150684931507 \tabularnewline
Correlation & 0.0172249698955197 \tabularnewline
Determination & 0.000296699587901559 \tabularnewline
T-Test & 0.206730309420205 \tabularnewline
p-value (2 sided) & 0.836512513023342 \tabularnewline
p-value (1 sided) & 0.418256256511671 \tabularnewline
Degrees of Freedom & 144 \tabularnewline
Number of Observations & 146 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8039&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]64.6849315068493[/C][C]3.18493150684932[/C][/ROW]
[ROW][C]Biased Variance[/C][C]485.818540063802[/C][C]3.28771814599362[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]22.0412917058824[/C][C]1.81320659219892[/C][/ROW]
[ROW][C]Covariance[/C][C]0.693150684931507[/C][/ROW]
[ROW][C]Correlation[/C][C]0.0172249698955197[/C][/ROW]
[ROW][C]Determination[/C][C]0.000296699587901559[/C][/ROW]
[ROW][C]T-Test[/C][C]0.206730309420205[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.836512513023342[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.418256256511671[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]144[/C][/ROW]
[ROW][C]Number of Observations[/C][C]146[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8039&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8039&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
Mean64.68493150684933.18493150684932
Biased Variance485.8185400638023.28771814599362
Biased Standard Deviation22.04129170588241.81320659219892
Covariance0.693150684931507
Correlation0.0172249698955197
Determination0.000296699587901559
T-Test0.206730309420205
p-value (2 sided)0.836512513023342
p-value (1 sided)0.418256256511671
Degrees of Freedom144
Number of Observations146



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')