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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 computationMon, 20 Oct 2008 10:54:01 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/20/t1224521673k4brcjynm4m2rke.htm/, Retrieved Fri, 17 May 2024 04:25:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17649, Retrieved Fri, 17 May 2024 04:25:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [invoer vanuit vs] [2008-10-13 19:11:39] [57ce5bd741080980f0f51979adb31ad8]
-   PD  [Univariate Data Series] [Productie voedsel...] [2008-10-19 13:35:18] [ed2ba3b6182103c15c0ab511ae4e6284]
-   PD    [Univariate Data Series] [Productie Voedsel...] [2008-10-19 14:08:24] [ed2ba3b6182103c15c0ab511ae4e6284]
F RMPD      [Pearson Correlation] [Correl voedsel en...] [2008-10-20 16:30:30] [ed2ba3b6182103c15c0ab511ae4e6284]
F    D        [Pearson Correlation] [correl consumpt v...] [2008-10-20 16:37:08] [ed2ba3b6182103c15c0ab511ae4e6284]
F    D          [Pearson Correlation] [correl tot pro en...] [2008-10-20 16:45:16] [ed2ba3b6182103c15c0ab511ae4e6284]
F    D            [Pearson Correlation] [correl tot en tab] [2008-10-20 16:49:04] [ed2ba3b6182103c15c0ab511ae4e6284]
F    D                [Pearson Correlation] [correl consu en t...] [2008-10-20 16:54:01] [a8228479d4547a92e2d3f176a5299609] [Current]
Feedback Forum
2008-10-24 11:34:35 [2df1bcd103d52957f4a39bd4617794c8] [reply] 
Grafisch kunnen we vaststellen dat de waarden niet echt aan elkaar geralateerd zijn. De lagere correlatie geeft verklaring aan deze vaststelling.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41.1
58
63
53.8
54.7
55.5
56.1
69.6
69.4
57.2
68
53.3
47.9
60.8
61.7
57.8
51.4
50.5
48.1
58.7
54
56.1
60.4
51.2
50.7
56.4
53.3
52.6
47.7
49.5
48.5
55.3
49.8
57.4
64.6
53
41.5
55.9
58.4
53.5
50.6
58.5
49.1
61.1
52.3
58.4
65.5
61.7
45.1
52.1
59.3
57.9
45
64.9
63.8
69.4
71.1
62.9
73.5
62.6
Dataseries Y:
Download CSV
Histogram 
102,2
123,9
124,9
112,7
121,9
100,6
104,3
120,4
107,5
102,9
125,6
107,5
108,8
128,4
121,1
119,5
128,7
108,7
105,5
119,8
111,3
110,6
120,1
97,5
107,7
127,3
117,2
119,8
116,2
111
112,4
130,6
109,1
118,8
123,9
101,6
112,8
128
129,6
125,8
119,5
115,7
113,6
129,7
112
116,8
127
112,1
114,2
121,1
131,6
125
120,4
117,7
117,5
120,6
127,5
112,3
124,5
112,4

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'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17649&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17649&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17649&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean56.52116.956666666667
Biased Variance51.685266666666772.1851222222222
Biased Standard Deviation7.18924659937798.4961828030135
Covariance25.6037627118644
Correlation0.412189881217166
Determination0.169900498177822
T-Test3.44545233606390
p-value (2 sided)0.00106621021889963
p-value (1 sided)0.000533105109449816
Degrees of Freedom58
Number of Observations60

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 56.52 & 116.956666666667 \tabularnewline
Biased Variance & 51.6852666666667 & 72.1851222222222 \tabularnewline
Biased Standard Deviation & 7.1892465993779 & 8.4961828030135 \tabularnewline
Covariance & 25.6037627118644 \tabularnewline
Correlation & 0.412189881217166 \tabularnewline
Determination & 0.169900498177822 \tabularnewline
T-Test & 3.44545233606390 \tabularnewline
p-value (2 sided) & 0.00106621021889963 \tabularnewline
p-value (1 sided) & 0.000533105109449816 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17649&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]56.52[/C][C]116.956666666667[/C][/ROW]
[ROW][C]Biased Variance[/C][C]51.6852666666667[/C][C]72.1851222222222[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]7.1892465993779[/C][C]8.4961828030135[/C][/ROW]
[ROW][C]Covariance[/C][C]25.6037627118644[/C][/ROW]
[ROW][C]Correlation[/C][C]0.412189881217166[/C][/ROW]
[ROW][C]Determination[/C][C]0.169900498177822[/C][/ROW]
[ROW][C]T-Test[/C][C]3.44545233606390[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.00106621021889963[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.000533105109449816[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]58[/C][/ROW]
[ROW][C]Number of Observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17649&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17649&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
Mean56.52116.956666666667
Biased Variance51.685266666666772.1851222222222
Biased Standard Deviation7.18924659937798.4961828030135
Covariance25.6037627118644
Correlation0.412189881217166
Determination0.169900498177822
T-Test3.44545233606390
p-value (2 sided)0.00106621021889963
p-value (1 sided)0.000533105109449816
Degrees of Freedom58
Number of Observations60


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')