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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 computationTue, 23 Nov 2010 16:28:25 +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/Nov/23/t1290529654z4xods4kwlsddni.htm/, Retrieved Fri, 19 Apr 2024 14:59:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=99391, Retrieved Fri, 19 Apr 2024 14:59:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Competence to learn] [2010-11-17 07:43:53] [b98453cac15ba1066b407e146608df68]
- RMPD  [Pearson Correlation] [Correlatie belong...] [2010-11-19 18:01:17] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-    D    [Pearson Correlation] [] [2010-11-23 16:23:05] [ed939ef6f97e5f2afb6796311d9e7a5f]
-    D        [Pearson Correlation] [] [2010-11-23 16:28:25] [f9aa24c2294a5d3925c7278aa2e9a372] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11
7
17
10
12
12
11
11
12
13
14
16
11
10
11
15
9
11
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9
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12
15
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10
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17
12
6
12
11
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13
12
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11
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8
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9
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15
11
11
16
8
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7
12
14
17
10
13
9
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12
11
Dataseries Y:
Download CSV
Histogram 
12
8
8
8
9
7
4
11
7
7
12
10
10
8
8
4
9
8
7
11
9
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12
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4
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9
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10
10
5
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9
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9
9

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'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=99391&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=99391&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99391&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'George Udny Yule' @ 72.249.76.132






Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean12.2757.8125
Biased Variance7.6243754.92734375
Biased Standard Deviation2.761227082295122.21976209310818
Covariance2.46993670886076
Correlation0.397937048154633
Determination0.158353894294023
T-Test3.83086560514719
p-value (2 sided)0.000256749809347756
p-value (1 sided)0.000128374904673878
Degrees of Freedom78
Number of Observations80

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 12.275 & 7.8125 \tabularnewline
Biased Variance & 7.624375 & 4.92734375 \tabularnewline
Biased Standard Deviation & 2.76122708229512 & 2.21976209310818 \tabularnewline
Covariance & 2.46993670886076 \tabularnewline
Correlation & 0.397937048154633 \tabularnewline
Determination & 0.158353894294023 \tabularnewline
T-Test & 3.83086560514719 \tabularnewline
p-value (2 sided) & 0.000256749809347756 \tabularnewline
p-value (1 sided) & 0.000128374904673878 \tabularnewline
Degrees of Freedom & 78 \tabularnewline
Number of Observations & 80 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=99391&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]12.275[/C][C]7.8125[/C][/ROW]
[ROW][C]Biased Variance[/C][C]7.624375[/C][C]4.92734375[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]2.76122708229512[/C][C]2.21976209310818[/C][/ROW]
[ROW][C]Covariance[/C][C]2.46993670886076[/C][/ROW]
[ROW][C]Correlation[/C][C]0.397937048154633[/C][/ROW]
[ROW][C]Determination[/C][C]0.158353894294023[/C][/ROW]
[ROW][C]T-Test[/C][C]3.83086560514719[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.000256749809347756[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.000128374904673878[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]78[/C][/ROW]
[ROW][C]Number of Observations[/C][C]80[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=99391&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99391&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
Mean12.2757.8125
Biased Variance7.6243754.92734375
Biased Standard Deviation2.761227082295122.21976209310818
Covariance2.46993670886076
Correlation0.397937048154633
Determination0.158353894294023
T-Test3.83086560514719
p-value (2 sided)0.000256749809347756
p-value (1 sided)0.000128374904673878
Degrees of Freedom78
Number of Observations80


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')