Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationMon, 19 May 2014 18:51:25 -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/May/19/t14005400650qfii3uluixkhhe.htm/, Retrieved Wed, 15 May 2024 23:37:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=234971, Retrieved Wed, 15 May 2024 23:37:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Deficits and unem...] [2014-05-19 22:51:25] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
Dataseries X:
2.67
-0.32
0.26
1.97
1.82
1.04
0.4
3.15
3.93
2.57
2.51
1.55
2.58
2.46
3.83
5.71
4.59
4.88
4.82
3.07
2.95
2.7
3.7
4.36
4.44
3.71
2.78
2.14
1.33
0.25
-0.76
-1.3
-2.3
-1.21
1.44
3.28
3.36
2.43
1.79
1.11
3.12
9.8
8.65
8.37
6.69
4.05
3.74
Dataseries Y:
4.6
4.0
4.1
6.5
6.7
5.0
5.0
8.7
8.2
7.3
6.1
5.4
5.8
7.4
8.1
10.9
8.2
6.9
6.7
7.1
5.9
5.4
4.8
6.6
8.5
8.4
9.1
8.3
8.6
8.3
6.7
6.2
6.1
5.9
8.9
10.2
9.5
9.0
8.4
8.6
9.4
13.1
22.1
20.9
19.2
17.3
16.0




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=234971&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=234971&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234971&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
Mean2.853404255319158.59787234042553
Biased Variance5.890490538705316.8870167496605
Biased Standard Deviation2.427033279274374.1093815531854
Covariance6.99109435707678
Correlation0.686045530060188
Determination0.470658469315564
T-Test6.32544685840568
p-value (2 sided)1.02511083621692e-07
p-value (1 sided)5.12555418108462e-08
Degrees of Freedom45
Number of Observations47

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 2.85340425531915 & 8.59787234042553 \tabularnewline
Biased Variance & 5.8904905387053 & 16.8870167496605 \tabularnewline
Biased Standard Deviation & 2.42703327927437 & 4.1093815531854 \tabularnewline
Covariance & 6.99109435707678 \tabularnewline
Correlation & 0.686045530060188 \tabularnewline
Determination & 0.470658469315564 \tabularnewline
T-Test & 6.32544685840568 \tabularnewline
p-value (2 sided) & 1.02511083621692e-07 \tabularnewline
p-value (1 sided) & 5.12555418108462e-08 \tabularnewline
Degrees of Freedom & 45 \tabularnewline
Number of Observations & 47 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234971&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]2.85340425531915[/C][C]8.59787234042553[/C][/ROW]
[ROW][C]Biased Variance[/C][C]5.8904905387053[/C][C]16.8870167496605[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]2.42703327927437[/C][C]4.1093815531854[/C][/ROW]
[ROW][C]Covariance[/C][C]6.99109435707678[/C][/ROW]
[ROW][C]Correlation[/C][C]0.686045530060188[/C][/ROW]
[ROW][C]Determination[/C][C]0.470658469315564[/C][/ROW]
[ROW][C]T-Test[/C][C]6.32544685840568[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]1.02511083621692e-07[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]5.12555418108462e-08[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]45[/C][/ROW]
[ROW][C]Number of Observations[/C][C]47[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234971&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234971&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
Mean2.853404255319158.59787234042553
Biased Variance5.890490538705316.8870167496605
Biased Standard Deviation2.427033279274374.1093815531854
Covariance6.99109435707678
Correlation0.686045530060188
Determination0.470658469315564
T-Test6.32544685840568
p-value (2 sided)1.02511083621692e-07
p-value (1 sided)5.12555418108462e-08
Degrees of Freedom45
Number of Observations47



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')