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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationFri, 05 Mar 2010 14:33:37 -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/2010/Mar/05/t12678249095tvl920uwnefd2c.htm/, Retrieved Sat, 22 Jan 2022 16:59:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74012, Retrieved Sat, 22 Jan 2022 16:59:41 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsTo complete Topic 8 assignment for CIMT 610, ISU
Estimated Impact145
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Feminist Opinion ...] [2010-03-05 21:33:37] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
20
18
18
7
Dataseries Y:
24
16
10
21




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=74012&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=74012&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74012&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'Gwilym Jenkins' @ 72.249.127.135







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean15.7517.75
Biased Variance26.187528.1875
Biased Standard Deviation5.117372372614685.30919014539883
Covariance-7.75
Correlation-0.213937869284808
Determination0.0457694119141235
T-Test-0.30972481130839
p-value (2 sided)0.786062130715192
p-value (1 sided)0.393031065357596
Degrees of Freedom2
Number of Observations4

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 15.75 & 17.75 \tabularnewline
Biased Variance & 26.1875 & 28.1875 \tabularnewline
Biased Standard Deviation & 5.11737237261468 & 5.30919014539883 \tabularnewline
Covariance & -7.75 \tabularnewline
Correlation & -0.213937869284808 \tabularnewline
Determination & 0.0457694119141235 \tabularnewline
T-Test & -0.30972481130839 \tabularnewline
p-value (2 sided) & 0.786062130715192 \tabularnewline
p-value (1 sided) & 0.393031065357596 \tabularnewline
Degrees of Freedom & 2 \tabularnewline
Number of Observations & 4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74012&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]15.75[/C][C]17.75[/C][/ROW]
[ROW][C]Biased Variance[/C][C]26.1875[/C][C]28.1875[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]5.11737237261468[/C][C]5.30919014539883[/C][/ROW]
[ROW][C]Covariance[/C][C]-7.75[/C][/ROW]
[ROW][C]Correlation[/C][C]-0.213937869284808[/C][/ROW]
[ROW][C]Determination[/C][C]0.0457694119141235[/C][/ROW]
[ROW][C]T-Test[/C][C]-0.30972481130839[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.786062130715192[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.393031065357596[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]2[/C][/ROW]
[ROW][C]Number of Observations[/C][C]4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74012&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74012&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
Mean15.7517.75
Biased Variance26.187528.1875
Biased Standard Deviation5.117372372614685.30919014539883
Covariance-7.75
Correlation-0.213937869284808
Determination0.0457694119141235
T-Test-0.30972481130839
p-value (2 sided)0.786062130715192
p-value (1 sided)0.393031065357596
Degrees of Freedom2
Number of Observations4



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')