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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 computationSun, 26 Dec 2010 15:14:28 +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/26/t1293376344yp7klnuf1oiw5ca.htm/, Retrieved Mon, 06 May 2024 22:20:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=115652, Retrieved Mon, 06 May 2024 22:20:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Paper_Correlation] [2010-12-26 15:14:28] [edf51d809b713abfc4095a7dca74558e] [Current]
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Dataseries X:
112.52
112.39
112.24
112.10
109.85
111.89
111.88
111.48
110.98
110.42
107.90
109.46
109.11
109.26
109.99
110.17
110.28
109.13
110.15
109.39
108.45
108.23
107.44
104.86
106.23
105.85
104.95
104.46
104.66
103.05
104.16
104.08
104.20
103.68
103.69
101.29
103.03
102.90
102.68
102.98
103.47
101.72
102.82
102.74
102.38
101.81
101.88
99.60
100.93
100.85
100.93
101.10
101.10
99.31
100.33
99.99
99.82
99.65
99.06
96.92
98.20
98.54
98.71
98.20
98.29
96.67
97.69
97.78
97.44
96.92
96.84
95.05
96.33
96.33
96.16
96.50
96.33
94.71
95.82
95.47
95.82
95.99
95.73
93.77
94.71
94.62
94.79
94.88
94.79
93.43
94.37
94.62
94.45
94.37
94.20
92.66
93.51
93.60
93.60
93.77
93.60
92.41
93.60
93.34
92.92
92.07
91.89
90.27
91.72
91.98
91.81
91.98
91.30
89.93
90.87
90.53
90.27
90.10
89.68
87.89
Dataseries Y:
108.06
108.22
107.96
107.16
107.01
107.64
108.35
108.45
108.08
106.51
105.52
105.82
105.07
105.88
106.32
106.49
105.96
105.82
105.94
106.25
105.81
105.44
104.20
103.32
103.35
103.92
103.76
103.60
102.89
102.77
103.55
104.09
104.05
103.47
102.16
101.50
101.75
102.10
102.12
102.30
101.81
101.32
101.68
102.02
102.06
101.58
100.78
100.28
100.06
100.46
100.78
100.78
99.90
99.58
99.90
100.22
100.30
100.14
99.34
98.53
98.05
98.85
99.26
99.10
98.29
98.13
98.45
99.18
99.01
98.69
97.89
97.33
96.84
97.41
97.81
97.97
97.16
96.92
97.00
97.49
97.57
97.49
96.60
95.88
95.31
95.48
95.96
96.04
95.07
94.91
94.99
95.31
95.48
94.83
93.87
93.38
92.34
92.50
92.74
92.66
91.70
91.45
91.53
91.86
91.61
90.89
89.85
89.04
87.83
88.24
88.32
88.00
87.19
86.87
87.11
87.11
86.87
86.55
85.58
85.10




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115652&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115652&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115652&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean99.764083333333398.7176666666667
Biased Variance43.040155826388936.2551678888889
Biased Standard Deviation6.56049966286026.02122644391397
Covariance38.0851793557423
Correlation0.956092348761586
Determination0.914112579360445
T-Test35.4385599722688
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom118
Number of Observations120

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 99.7640833333333 & 98.7176666666667 \tabularnewline
Biased Variance & 43.0401558263889 & 36.2551678888889 \tabularnewline
Biased Standard Deviation & 6.5604996628602 & 6.02122644391397 \tabularnewline
Covariance & 38.0851793557423 \tabularnewline
Correlation & 0.956092348761586 \tabularnewline
Determination & 0.914112579360445 \tabularnewline
T-Test & 35.4385599722688 \tabularnewline
p-value (2 sided) & 0 \tabularnewline
p-value (1 sided) & 0 \tabularnewline
Degrees of Freedom & 118 \tabularnewline
Number of Observations & 120 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115652&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]99.7640833333333[/C][C]98.7176666666667[/C][/ROW]
[ROW][C]Biased Variance[/C][C]43.0401558263889[/C][C]36.2551678888889[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]6.5604996628602[/C][C]6.02122644391397[/C][/ROW]
[ROW][C]Covariance[/C][C]38.0851793557423[/C][/ROW]
[ROW][C]Correlation[/C][C]0.956092348761586[/C][/ROW]
[ROW][C]Determination[/C][C]0.914112579360445[/C][/ROW]
[ROW][C]T-Test[/C][C]35.4385599722688[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]118[/C][/ROW]
[ROW][C]Number of Observations[/C][C]120[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115652&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115652&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
Mean99.764083333333398.7176666666667
Biased Variance43.040155826388936.2551678888889
Biased Standard Deviation6.56049966286026.02122644391397
Covariance38.0851793557423
Correlation0.956092348761586
Determination0.914112579360445
T-Test35.4385599722688
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom118
Number of Observations120



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')