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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 computationThu, 05 Nov 2009 01:59:04 -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/2009/Nov/05/t1257411736lzrpamh5urj8o9x.htm/, Retrieved Thu, 02 May 2024 17:18:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53893, Retrieved Thu, 02 May 2024 17:18:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Partial Correlation] [WS5] [2009-11-04 17:31:42] [868ad9c0049635b9b2c3848f186e9622]
- RMPD  [Bivariate Explorative Data Analysis] [reeks X t.o.v Z] [2009-11-05 08:48:18] [cd6314e7e707a6546bd4604c9d1f2b69]
-    D    [Bivariate Explorative Data Analysis] [reeks Y t.o.v. Z] [2009-11-05 08:51:09] [cd6314e7e707a6546bd4604c9d1f2b69]
-    D      [Bivariate Explorative Data Analysis] [reeks e(t) t.o.v....] [2009-11-05 08:57:02] [cd6314e7e707a6546bd4604c9d1f2b69]
- RMPD          [Pearson Correlation] [check correlatie ...] [2009-11-05 08:59:04] [ea241b681aafed79da4b5b99fad98471] [Current]
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Dataseries X:
-0.015358691
-0.185358691
-0.202353256
-0.144101897
-0.174101897
0.051908975
0.048411693
0.028411693
0.058411693
0.048411693
0.068411693
0.058411693
0.058411693
-0.031588307
-0.051588307
-0.151588307
-0.041588307
-0.021588307
0.008411693
0.008411693
0.008411693
0.008411693
0.048411693
0.068411693
0.058411693
0.028411693
0.018411693
0.028411693
0.018411693
0.008411693
-0.001588307
0.008411693
0.018411693
0.038411693
0.128411693
0.103755986
0.097154898
0.137154898
-0.005850538
0.095898103
0.125898103
0.082794298
0.084641309
-0.055063584
-0.006615486
-0.074670107
-0.017872281
-0.080976087
-0.149129076
-0.079129076
-0.173883153
-0.220385871
-0.130385871
-0.205139948
-0.261642666
-0.071642666
0.168357334
0.228357334
0.168357334
0.308357334
0.138357334
-0.101642666
-0.041642666
0.208357334
0.308357334
0.278357334
0.298652441
0.057100539
0.077100539
0.510401082
-0.888440492
-0.817872281
Dataseries Y:
0.034947641
0.034947641
0.025154648
0.0227064
0.0227064
0.003120415
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
-0.001776081
0.008506561
0.01046516
0.01046516
0.020258152
0.0227064
0.0227064
0.029561495
0.034947641
0.043761334
0.047188881
0.055512925
0.059430122
0.066285216
0.071671362
0.071671362
0.079016106
0.083912603
0.083912603
0.091257347
0.096153843
0.096153843
0.096153843
0.096153843
0.096153843
0.096153843
0.096153843
0.096153843
0.096153843
0.096153843
0.096153843
0.096153843
0.104967536
0.108395084
0.108395084
-0.632584216
-0.907763354
-0.940569878




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53893&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53893&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53893&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean-9.72222230369046e-11-2.77777773430284e-11
Biased Variance0.03905409374030810.0321728548871913
Biased Standard Deviation0.1976210862744870.179367931602032
Covariance0.0187129010211602
Correlation0.520581691877441
Determination0.271005297917979
T-Test5.10123962450166
p-value (2 sided)2.7652770757669e-06
p-value (1 sided)1.38263853788345e-06
Degrees of Freedom70
Number of Observations72

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & -9.72222230369046e-11 & -2.77777773430284e-11 \tabularnewline
Biased Variance & 0.0390540937403081 & 0.0321728548871913 \tabularnewline
Biased Standard Deviation & 0.197621086274487 & 0.179367931602032 \tabularnewline
Covariance & 0.0187129010211602 \tabularnewline
Correlation & 0.520581691877441 \tabularnewline
Determination & 0.271005297917979 \tabularnewline
T-Test & 5.10123962450166 \tabularnewline
p-value (2 sided) & 2.7652770757669e-06 \tabularnewline
p-value (1 sided) & 1.38263853788345e-06 \tabularnewline
Degrees of Freedom & 70 \tabularnewline
Number of Observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53893&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]-9.72222230369046e-11[/C][C]-2.77777773430284e-11[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.0390540937403081[/C][C]0.0321728548871913[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.197621086274487[/C][C]0.179367931602032[/C][/ROW]
[ROW][C]Covariance[/C][C]0.0187129010211602[/C][/ROW]
[ROW][C]Correlation[/C][C]0.520581691877441[/C][/ROW]
[ROW][C]Determination[/C][C]0.271005297917979[/C][/ROW]
[ROW][C]T-Test[/C][C]5.10123962450166[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]2.7652770757669e-06[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]1.38263853788345e-06[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]70[/C][/ROW]
[ROW][C]Number of Observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53893&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53893&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
Mean-9.72222230369046e-11-2.77777773430284e-11
Biased Variance0.03905409374030810.0321728548871913
Biased Standard Deviation0.1976210862744870.179367931602032
Covariance0.0187129010211602
Correlation0.520581691877441
Determination0.271005297917979
T-Test5.10123962450166
p-value (2 sided)2.7652770757669e-06
p-value (1 sided)1.38263853788345e-06
Degrees of Freedom70
Number of Observations72



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')