Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationWed, 20 Nov 2013 02:28:30 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/20/t13849340185wpc5i1ii0xx4qm.htm/, Retrieved Wed, 01 May 2024 23:03:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=226578, Retrieved Wed, 01 May 2024 23:03:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [] [2013-11-20 07:28:30] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
162.2
119.7
98.5
105.8
219.3
154.1
175.7
160.2
182.2
186.9
140.5
185.7
170.3
142.5
149.4
166
187.6
203.1
158.7
203.9
196.1
176.4
134
144.4
117
238.2
123.9
141.3
141.7
172.2
152.9
151.4
176.1
239.4
223.2
230.5
215.4
259.1
252.9
165.3
163.3
135.1
171
142.1
211.2
218.5
182.6
133.6
181.9
240.2
182
Dataseries Y:
21
20
20
23
16
16
17
20
20
15
19
15
14
17
20
9
12
16
16
18
18
15
15
20
23
25
17
24
28
28
27
26
18
26
12
20
18
17
15
11
21
11
5
13
8
13
9
17
12
10
2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226578&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226578&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226578&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' @ jenkins.wessa.net







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean174.21960784313717.0196078431373
Biased Variance1464.9690272971931.9800076893502
Biased Standard Deviation38.2749138117545.65508688610089
Covariance-45.8723921568627
Correlation-0.20777711570864
Determination0.0431713298122018
T-Test-1.48688939281625
p-value (2 sided)0.143450919111229
p-value (1 sided)0.0717254595556147
Degrees of Freedom49
Number of Observations51

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 174.219607843137 & 17.0196078431373 \tabularnewline
Biased Variance & 1464.96902729719 & 31.9800076893502 \tabularnewline
Biased Standard Deviation & 38.274913811754 & 5.65508688610089 \tabularnewline
Covariance & -45.8723921568627 \tabularnewline
Correlation & -0.20777711570864 \tabularnewline
Determination & 0.0431713298122018 \tabularnewline
T-Test & -1.48688939281625 \tabularnewline
p-value (2 sided) & 0.143450919111229 \tabularnewline
p-value (1 sided) & 0.0717254595556147 \tabularnewline
Degrees of Freedom & 49 \tabularnewline
Number of Observations & 51 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226578&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]174.219607843137[/C][C]17.0196078431373[/C][/ROW]
[ROW][C]Biased Variance[/C][C]1464.96902729719[/C][C]31.9800076893502[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]38.274913811754[/C][C]5.65508688610089[/C][/ROW]
[ROW][C]Covariance[/C][C]-45.8723921568627[/C][/ROW]
[ROW][C]Correlation[/C][C]-0.20777711570864[/C][/ROW]
[ROW][C]Determination[/C][C]0.0431713298122018[/C][/ROW]
[ROW][C]T-Test[/C][C]-1.48688939281625[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.143450919111229[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.0717254595556147[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]49[/C][/ROW]
[ROW][C]Number of Observations[/C][C]51[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226578&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226578&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
Mean174.21960784313717.0196078431373
Biased Variance1464.9690272971931.9800076893502
Biased Standard Deviation38.2749138117545.65508688610089
Covariance-45.8723921568627
Correlation-0.20777711570864
Determination0.0431713298122018
T-Test-1.48688939281625
p-value (2 sided)0.143450919111229
p-value (1 sided)0.0717254595556147
Degrees of Freedom49
Number of Observations51



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')