FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationWed, 15 Dec 2010 16:06:54 +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/Dec/15/t1292429185lkost9m36pd60dg.htm/, Retrieved Fri, 03 May 2024 10:05:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110517, Retrieved Fri, 03 May 2024 10:05:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact153

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Pearson Correlation] [Paper Pearson Cor...] [2010-12-15 15:20:07] [d59201e34006b7e3f71c33fa566f42b3]
-    D    [Pearson Correlation] [Paper Pearson Cor...] [2010-12-15 16:06:54] [f38914513f1f4d866974b642cdd0baea] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.397232704
0.382767296
0.396037736
0.441761006
0.445220126
0.438490566
0.467484277
0.465786164
0.402075472
0.376163522
0.37591195
0.392955975
0.34490566
0.368553459
0.390880503
0.424842767
0.426855346
0.442327044
0.474842767
0.447610063
0.480754717
0.516037736
0.580628931
0.573522013
0.578867925
0.593584906
0.645974843
0.690503145
0.782201258
0.839056604
0.847484277
0.726855346
0.635534591
0.470943396
0.346163522
0.272327044
0.286792453
0.27672956
0.297421384
0.321698113
0.365597484
0.435220126
0.412893082
0.458679245
0.428427673
0.463522013
0.487169811
0.473584906
0.491886792
0.474842767
0.502327044
0.539371069
0.484402516
0.474654088
0.473522013
0.48754717
0.493333333
0.525157233
0.542704403
Dataseries Y:
Download CSV
Histogram 
0,504208603
0,457969746
0,509923035
0,606622221
0,626210885
0,626631316
0,676731276
0,613117455
0,486215861
0,452529881
0,467150592
0,494624486
0,444567428
0,478862605
0,544458459
0,628201498
0,672578445
0,652706633
0,645430599
0,576334011
0,618334234
0,639896351
0,72850438
0,694655375
0,689773225
0,712244845
0,760337031
0,837816503
0,90688735
0,976018259
0,962066806
0,837593417
0,767638807
0,580006349
0,387740568
0,331274078
0,345251272
0,380172806
0,399838692
0,425742404
0,524183377
0,597115327
0,541489699
0,615039426
0,547924872
0,574540743
0,603438956
0,577492342
0,614198564
0,584776957
0,62752366
0,676859979
0,645996894
0,596059959
0,585961029
0,607617528
0,598462423
0,638703699
0,64923164

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'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=110517&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=110517&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110517&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'Gwilym Jenkins' @ 72.249.127.135






Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean0.4759428633050850.602601438322034
Biased Variance0.01519035994401390.0181516029899712
Biased Standard Deviation0.1232491782691220.134727884975499
Covariance0.0162423986434126
Correlation0.961578230829939
Determination0.924632694006035
T-Test26.4442074078648
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom57
Number of Observations59

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 0.475942863305085 & 0.602601438322034 \tabularnewline
Biased Variance & 0.0151903599440139 & 0.0181516029899712 \tabularnewline
Biased Standard Deviation & 0.123249178269122 & 0.134727884975499 \tabularnewline
Covariance & 0.0162423986434126 \tabularnewline
Correlation & 0.961578230829939 \tabularnewline
Determination & 0.924632694006035 \tabularnewline
T-Test & 26.4442074078648 \tabularnewline
p-value (2 sided) & 0 \tabularnewline
p-value (1 sided) & 0 \tabularnewline
Degrees of Freedom & 57 \tabularnewline
Number of Observations & 59 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110517&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]0.475942863305085[/C][C]0.602601438322034[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.0151903599440139[/C][C]0.0181516029899712[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.123249178269122[/C][C]0.134727884975499[/C][/ROW]
[ROW][C]Covariance[/C][C]0.0162423986434126[/C][/ROW]
[ROW][C]Correlation[/C][C]0.961578230829939[/C][/ROW]
[ROW][C]Determination[/C][C]0.924632694006035[/C][/ROW]
[ROW][C]T-Test[/C][C]26.4442074078648[/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]57[/C][/ROW]
[ROW][C]Number of Observations[/C][C]59[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110517&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110517&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
Mean0.4759428633050850.602601438322034
Biased Variance0.01519035994401390.0181516029899712
Biased Standard Deviation0.1232491782691220.134727884975499
Covariance0.0162423986434126
Correlation0.961578230829939
Determination0.924632694006035
T-Test26.4442074078648
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom57
Number of Observations59


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')