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 14:39:38 +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/t1292423975fk80hcps5emvp5q.htm/, Retrieved Fri, 03 May 2024 13:29:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110428, Retrieved Fri, 03 May 2024 13:29:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [pearson SWS - bod...] [2010-12-15 14:39:38] [6a374a3321fe5d3cfaebff7ea97302d4] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6,3
2,1
9,1
15,8
5,2
10,9
8,3
11
3,2
6,3
8,6
6,6
9,5
3,3
11
4,7
10,4
7,4
2,1
7,7
17,9
6,1
11,9
10,8
13,8
14,3
15,2
10
11,9
6,5
7,5
10,6
7,4
8,4
5,7
4,9
3,2
11
4,9
13,2
9,7
12,8
Dataseries Y:
Download CSV
Histogram 
1
2547
10,55
0,023
160
3,3
52,16
0,425
465
0,075
3
0,785
0,2
27,66
0,12
85
0,101
1,04
521
0,005
0,01
62
0,023
0,048
1,7
3,5
0,48
10
1,62
192
2,5
0,28
4,235
6,8
0,75
3,6
55,5
0,9
2
0,104
4,19
3,5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 & 5 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110428&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]5 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=110428&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110428&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 time5 seconds
R Server'George Udny Yule' @ 72.249.76.132






Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean8.74285714285714100.813904761905
Biased Variance14.3753061224490157820.956218658
Biased Standard Deviation3.79147809204392397.266857689712
Covariance-607.368905574913
Correlation-0.393637291197007
Determination0.154950317020917
T-Test-2.70822728134579
p-value (2 sided)0.00990486405183053
p-value (1 sided)0.00495243202591526
Degrees of Freedom40
Number of Observations42

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 8.74285714285714 & 100.813904761905 \tabularnewline
Biased Variance & 14.3753061224490 & 157820.956218658 \tabularnewline
Biased Standard Deviation & 3.79147809204392 & 397.266857689712 \tabularnewline
Covariance & -607.368905574913 \tabularnewline
Correlation & -0.393637291197007 \tabularnewline
Determination & 0.154950317020917 \tabularnewline
T-Test & -2.70822728134579 \tabularnewline
p-value (2 sided) & 0.00990486405183053 \tabularnewline
p-value (1 sided) & 0.00495243202591526 \tabularnewline
Degrees of Freedom & 40 \tabularnewline
Number of Observations & 42 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110428&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]8.74285714285714[/C][C]100.813904761905[/C][/ROW]
[ROW][C]Biased Variance[/C][C]14.3753061224490[/C][C]157820.956218658[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]3.79147809204392[/C][C]397.266857689712[/C][/ROW]
[ROW][C]Covariance[/C][C]-607.368905574913[/C][/ROW]
[ROW][C]Correlation[/C][C]-0.393637291197007[/C][/ROW]
[ROW][C]Determination[/C][C]0.154950317020917[/C][/ROW]
[ROW][C]T-Test[/C][C]-2.70822728134579[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.00990486405183053[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.00495243202591526[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]40[/C][/ROW]
[ROW][C]Number of Observations[/C][C]42[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110428&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110428&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
Mean8.74285714285714100.813904761905
Biased Variance14.3753061224490157820.956218658
Biased Standard Deviation3.79147809204392397.266857689712
Covariance-607.368905574913
Correlation-0.393637291197007
Determination0.154950317020917
T-Test-2.70822728134579
p-value (2 sided)0.00990486405183053
p-value (1 sided)0.00495243202591526
Degrees of Freedom40
Number of Observations42


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')