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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, 22 Dec 2010 19:14:03 +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/22/t1293045123uey46pv02ur0ln3.htm/, Retrieved Mon, 06 May 2024 06:30:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114511, Retrieved Mon, 06 May 2024 06:30:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 18:04:16] [b98453cac15ba1066b407e146608df68]
F RMPD    [Pearson Correlation] [Pearson correlati...] [2010-12-22 19:14:03] [03bcd8c83ef1a42b4029a16ba47a4880] [Current]
- RMPD      [Variance Reduction Matrix] [variantie reducti...] [2010-12-24 14:01:07] [96348ef82925ade81ab3c243141d80f1]
-   PD        [Variance Reduction Matrix] [variantie reducti...] [2010-12-24 14:27:16] [96348ef82925ade81ab3c243141d80f1]
-    D          [Variance Reduction Matrix] [VRM goudprijzen] [2010-12-24 16:59:39] [96348ef82925ade81ab3c243141d80f1]
-    D            [Variance Reduction Matrix] [VRM goudprijzen] [2010-12-28 19:00:31] [30b3e197115d238a51c18bcedc33a6a5]
-    D      [Pearson Correlation] [Pearson correlati...] [2010-12-28 18:43:17] [30b3e197115d238a51c18bcedc33a6a5]
-           [Pearson Correlation] [] [2010-12-30 00:36:48] [8580fcf1253f5e9fd0de57dd74c565ee]
Feedback Forum
2010-12-31 13:40:14 [] [reply] 
Doordat het histogram van het BBP absoluut niet normaal verdeeld is kan er geen goede uitspraak gedaan worden over dit verband.
moesten beide histogrammen wel normaal verdeeld zijn, is de uitkomst geloofwaardiger.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
47,91
51,56
56,06
60,36
64,19
67,31
68,18
69,24
70,05
72,22
74,72
77,08
78,81
80,78
82,71
83,76
85,26
86,53
87,32
88,31
90,67
92,88
94,33
95,75
97,53
100
102,33
104,19
108,87
108,86
Dataseries Y:
Download CSV
Histogram 
192,37
192,65
193,77
194,54
198,63
202,3
206,05
210,94
220,57
228,55
235,61
239,86
243,05
241,37
249,31
259,98
262,85
273,13
278,37
288,19
299,13
301,26
305,36
307,75
317,2
323,6
332,31
341,59
344,3
335,17

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114511&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]4 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=114511&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114511&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean81.5923333333333260.658666666667
Biased Variance266.3625778888892510.58495822222
Biased Standard Deviation16.320618183417250.1057377774464
Covariance823.493710114942
Correlation0.973448462676579
Determination0.947601909487395
T-Test22.5026802364439
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom28
Number of Observations30

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 81.5923333333333 & 260.658666666667 \tabularnewline
Biased Variance & 266.362577888889 & 2510.58495822222 \tabularnewline
Biased Standard Deviation & 16.3206181834172 & 50.1057377774464 \tabularnewline
Covariance & 823.493710114942 \tabularnewline
Correlation & 0.973448462676579 \tabularnewline
Determination & 0.947601909487395 \tabularnewline
T-Test & 22.5026802364439 \tabularnewline
p-value (2 sided) & 0 \tabularnewline
p-value (1 sided) & 0 \tabularnewline
Degrees of Freedom & 28 \tabularnewline
Number of Observations & 30 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114511&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]81.5923333333333[/C][C]260.658666666667[/C][/ROW]
[ROW][C]Biased Variance[/C][C]266.362577888889[/C][C]2510.58495822222[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]16.3206181834172[/C][C]50.1057377774464[/C][/ROW]
[ROW][C]Covariance[/C][C]823.493710114942[/C][/ROW]
[ROW][C]Correlation[/C][C]0.973448462676579[/C][/ROW]
[ROW][C]Determination[/C][C]0.947601909487395[/C][/ROW]
[ROW][C]T-Test[/C][C]22.5026802364439[/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]28[/C][/ROW]
[ROW][C]Number of Observations[/C][C]30[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114511&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114511&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
Mean81.5923333333333260.658666666667
Biased Variance266.3625778888892510.58495822222
Biased Standard Deviation16.320618183417250.1057377774464
Covariance823.493710114942
Correlation0.973448462676579
Determination0.947601909487395
T-Test22.5026802364439
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom28
Number of Observations30


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')