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Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationMon, 14 Apr 2014 15:56:41 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Apr/14/t13975054608ns83bv4qatx587.htm/, Retrieved Fri, 17 May 2024 04:59:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=234448, Retrieved Fri, 17 May 2024 04:59:24 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact194
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataseries X:
41
44
44
33
33
33
33
36
36
44
44
38
38
42
42
41
41
40
40
38
38
40
40
53
53
52
52
51
51
51
51
53
53
53
53
46
46
41
41
56
56
54
54
Dataseries Y:
10.7
9.4
9.8
15.1
13.5
13.9
13.1
12.5
12.9
15.1
18.1
20.1
16.6
15.1
14.6
13.8
12.7
11.1
10.9
12.5
14.1
13.7
12.4
9.7
10.6
10.5
9.2
8.0
7.4
8.3
10.5
10.3
10.3
10.5
9.5
8.4
9.2
13.7
16.9
15.8
14.1
13.2
12.4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234448&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234448&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234448&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'Gertrude Mary Cox' @ cox.wessa.net







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean44.627906976744212.3302325581395
Biased Variance50.28015143320717.9681557598702
Biased Standard Deviation7.090849838574162.82279219211585
Covariance-9.22895902547065
Correlation-0.450356418418547
Determination0.202820903610781
T-Test-3.22976061247517
p-value (2 sided)0.00244244940636218
p-value (1 sided)0.00122122470318109
Degrees of Freedom41
Number of Observations43

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 44.6279069767442 & 12.3302325581395 \tabularnewline
Biased Variance & 50.2801514332071 & 7.9681557598702 \tabularnewline
Biased Standard Deviation & 7.09084983857416 & 2.82279219211585 \tabularnewline
Covariance & -9.22895902547065 \tabularnewline
Correlation & -0.450356418418547 \tabularnewline
Determination & 0.202820903610781 \tabularnewline
T-Test & -3.22976061247517 \tabularnewline
p-value (2 sided) & 0.00244244940636218 \tabularnewline
p-value (1 sided) & 0.00122122470318109 \tabularnewline
Degrees of Freedom & 41 \tabularnewline
Number of Observations & 43 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234448&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]44.6279069767442[/C][C]12.3302325581395[/C][/ROW]
[ROW][C]Biased Variance[/C][C]50.2801514332071[/C][C]7.9681557598702[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]7.09084983857416[/C][C]2.82279219211585[/C][/ROW]
[ROW][C]Covariance[/C][C]-9.22895902547065[/C][/ROW]
[ROW][C]Correlation[/C][C]-0.450356418418547[/C][/ROW]
[ROW][C]Determination[/C][C]0.202820903610781[/C][/ROW]
[ROW][C]T-Test[/C][C]-3.22976061247517[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.00244244940636218[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.00122122470318109[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]41[/C][/ROW]
[ROW][C]Number of Observations[/C][C]43[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234448&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234448&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
Mean44.627906976744212.3302325581395
Biased Variance50.28015143320717.9681557598702
Biased Standard Deviation7.090849838574162.82279219211585
Covariance-9.22895902547065
Correlation-0.450356418418547
Determination0.202820903610781
T-Test-3.22976061247517
p-value (2 sided)0.00244244940636218
p-value (1 sided)0.00122122470318109
Degrees of Freedom41
Number of Observations43



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
x <- x[!is.na(y)]
y <- y[!is.na(y)]
y <- y[!is.na(x)]
x <- x[!is.na(x)]
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', na.rm = T)
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')