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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 computationTue, 27 Oct 2009 17:25:04 -0600
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/Oct/28/t1256685933o6mvwx8d3bvxjir.htm/, Retrieved Sun, 05 May 2024 23:07:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51309, Retrieved Sun, 05 May 2024 23:07:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact147
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
-   PD  [Bivariate Data Series] [Reproduce: part 1] [2009-10-27 19:04:39] [f924a0adda9c1905a1ba8f1c751261ff]
- RMP     [Bivariate Explorative Data Analysis] [Bivariate EDA: Pa...] [2009-10-27 21:03:03] [f924a0adda9c1905a1ba8f1c751261ff]
-    D      [Bivariate Explorative Data Analysis] [Bivariate EDA: Pa...] [2009-10-27 22:45:19] [f924a0adda9c1905a1ba8f1c751261ff]
- RMPD          [Pearson Correlation] [Pearson Correlati...] [2009-10-27 23:25:04] [ac86848d66148c9c4c9404e0c9a511eb] [Current]
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Dataseries X:
4.699297849
4.561636184
4.812672041
4.815350071
4.789822358
4.747797584
4.704110134
4.740487483
4.883029169
4.813484323
4.777609743
4.854527144
4.720639436
4.649474112
4.887110808
4.808274282
4.881285622
4.824707242
4.795459912
4.808927024
4.980313534
4.775503503
4.899703733
4.917788744
4.798843731
4.715189831
4.900969227
4.924714232
4.926238677
4.785573237
4.872828107
4.854215375
4.993489135
4.855306142
4.919250732
4.969466017
4.910004317
4.807947751
4.918739279
5.030699325
4.960814599
4.815917217
4.972379449
4.984633492
4.994573661
5.065817683
4.99314998
5.106248458
5.041099835
4.83786795
5.058536174
5.037926154
4.813890217
4.728007096
4.70456293
4.732419387
4.807621114
4.744323247
4.717158688
4.836599317
Dataseries Y:
4.379523504
4.423648309
4.732683506
4.726502471
4.644390899
4.699570861
4.59511985
4.666265285
4.85903691
4.710430697
4.633757643
4.86753445
4.465908119
4.471638793
4.767289035
4.638604962
4.707726774
4.723841716
4.629862799
4.722063937
4.909709376
4.654912278
4.849683763
4.919980926
4.510859507
4.505349851
4.80729437
4.81462041
4.822697999
4.787491743
4.771531723
4.779123493
4.960744524
4.817050545
4.864452784
5.021245473
4.704110134
4.597138014
4.871373227
4.914124394
4.865224091
4.852030264
4.80073697
4.911183215
4.968423445
4.993828176
4.914124394
5.053694784
4.81462041
4.649187071
4.94021283
4.916324615
4.71939133
4.774912961
4.547541073
4.627909673
4.713127327
4.597138014
4.475061501
4.751864565




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=51309&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=51309&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51309&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
Mean4.854767229966674.74725719605
Biased Variance0.01295949976995480.0240225738777185
Biased Standard Deviation0.1138397987083380.154992173601503
Covariance0.0157851232637179
Correlation0.879720780475258
Determination0.773908651599997
T-Test14.0901908510061
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom58
Number of Observations60

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 4.85476722996667 & 4.74725719605 \tabularnewline
Biased Variance & 0.0129594997699548 & 0.0240225738777185 \tabularnewline
Biased Standard Deviation & 0.113839798708338 & 0.154992173601503 \tabularnewline
Covariance & 0.0157851232637179 \tabularnewline
Correlation & 0.879720780475258 \tabularnewline
Determination & 0.773908651599997 \tabularnewline
T-Test & 14.0901908510061 \tabularnewline
p-value (2 sided) & 0 \tabularnewline
p-value (1 sided) & 0 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51309&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]4.85476722996667[/C][C]4.74725719605[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.0129594997699548[/C][C]0.0240225738777185[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.113839798708338[/C][C]0.154992173601503[/C][/ROW]
[ROW][C]Covariance[/C][C]0.0157851232637179[/C][/ROW]
[ROW][C]Correlation[/C][C]0.879720780475258[/C][/ROW]
[ROW][C]Determination[/C][C]0.773908651599997[/C][/ROW]
[ROW][C]T-Test[/C][C]14.0901908510061[/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]58[/C][/ROW]
[ROW][C]Number of Observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51309&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51309&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
Mean4.854767229966674.74725719605
Biased Variance0.01295949976995480.0240225738777185
Biased Standard Deviation0.1138397987083380.154992173601503
Covariance0.0157851232637179
Correlation0.879720780475258
Determination0.773908651599997
T-Test14.0901908510061
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom58
Number of Observations60



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')