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Description of Statistical Computation

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 11:11:23 +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/t1292238561speq89u1rta8zoc.htm/, Retrieved Mon, 06 May 2024 16:44:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108844, Retrieved Mon, 06 May 2024 16:44:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [] [2010-12-13 11:11:23] [1638ccfec791c539017705f3e680eb33] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1 000
2 547 000
10 550
.023
160 000
3 300
52 160
.425
465 000
.550
.075
3 000
.785
.200
1 410
60 000
529 000
27 660
.120
85 000
.101
1 040
521 000
.005
.010
62 000
.122
1 350
.023
.048
1 700
3 500
250 000
.480
10 000
1 620
192 000
2 500
.280
4 235
6 800
.750
3 600
55 500
.060
.900
2 000
.104
4 190
3 500
Dataseries Y:
Download CSV
Histogram 
2.0
1.8
.7
3.9
1.0
3.6
1.4
1.5
.7
2.7
2.1
.0
4.1
1.2
1.3
6.1
.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
2.2
2.3
.5
2.6
.6
6.6

Tables (Output of Computation)





Summary of computational 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 computational 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=108844&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]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=108844&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108844&T=0

As an alternative you can also use a QR Code:  
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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean101432.401221.972
Biased Variance137737208615.3032.039616
Biased Standard Deviation371129.6385568021.42815125249394
Covariance-59191.5305222857
Correlation-0.109442448734108
Determination0.0119776495849179
T-Test-0.762821694559252
p-value (2 sided)0.449302502879201
p-value (1 sided)0.224651251439601
Degrees of Freedom48
Number of Observations50

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 101432.40122 & 1.972 \tabularnewline
Biased Variance & 137737208615.303 & 2.039616 \tabularnewline
Biased Standard Deviation & 371129.638556802 & 1.42815125249394 \tabularnewline
Covariance & -59191.5305222857 \tabularnewline
Correlation & -0.109442448734108 \tabularnewline
Determination & 0.0119776495849179 \tabularnewline
T-Test & -0.762821694559252 \tabularnewline
p-value (2 sided) & 0.449302502879201 \tabularnewline
p-value (1 sided) & 0.224651251439601 \tabularnewline
Degrees of Freedom & 48 \tabularnewline
Number of Observations & 50 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108844&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]101432.40122[/C][C]1.972[/C][/ROW]
[ROW][C]Biased Variance[/C][C]137737208615.303[/C][C]2.039616[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]371129.638556802[/C][C]1.42815125249394[/C][/ROW]
[ROW][C]Covariance[/C][C]-59191.5305222857[/C][/ROW]
[ROW][C]Correlation[/C][C]-0.109442448734108[/C][/ROW]
[ROW][C]Determination[/C][C]0.0119776495849179[/C][/ROW]
[ROW][C]T-Test[/C][C]-0.762821694559252[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.449302502879201[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.224651251439601[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]48[/C][/ROW]
[ROW][C]Number of Observations[/C][C]50[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108844&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108844&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean101432.401221.972
Biased Variance137737208615.3032.039616
Biased Standard Deviation371129.6385568021.42815125249394
Covariance-59191.5305222857
Correlation-0.109442448734108
Determination0.0119776495849179
T-Test-0.762821694559252
p-value (2 sided)0.449302502879201
p-value (1 sided)0.224651251439601
Degrees of Freedom48
Number of Observations50


Figures (Output of Computation)

Input Parameters & R Code

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')