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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationFri, 30 Nov 2007 07:35:16 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/30/t1196432715s42vhzgvrob12d6.htm/, Retrieved Sat, 27 Apr 2024 23:43:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7709, Retrieved Sat, 27 Apr 2024 23:43:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaper G29
Estimated Impact164

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [paper pearson cor...] [2007-11-30 14:35:16] [8e05505c645e933583b5ad9ab4281af9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
174.1
180.4
182.6
207.1
213.7
186.5
179.1
168.3
156.5
144.3
138.9
137.8
136.3
140.3
149.1
149.2
140.4
129
124.7
130.8
130.1
133.2
130.1
126.6
124.8
125.3
126.9
120.1
118.7
117.7
113.4
107.5
107.6
114.3
114.9
111.2
109.9
108.6
109.2
106.4
103.7
103
96.9
104.7
102.2
99
95.8
94.5
102.7
103.2
105.6
103.9
107.2
100.7
92.1
90.3
93.4
98.5
100.8
102.3
104.7
101.1
101.4
99.5
98.4
96.3
100.7
101.2
100.3
97.8
97.4
98.6
99.7
99
98.1
97
98.5
103.8
114.4
124.5
134.2
131.8
125.6
119.9
114.9
115.5
112.5
111.4
115.3
110.8
103.7
111.1
113
111.2
117.6
121.7
127.3
129.8
137.1
141.4
137.4
130.7
117.2
110.8
111.4
108.2
108.8
110.2
109.5
109.5
116
111.2
112.1
114
119.1
114.1
115.1
115.4
110.8
116
119.2
126.5
127.8
131.3
140.3
137.3
143
134.5
139.9
159.3
170.4
175
175.8
180.9
180.3
169.6
172.3
184.8
177.7
184.6
211.4
Dataseries Y:
Download CSV
Histogram 
145.9
158.5
152.2
153.7
157.9
154.4
150.7
151.2
147.3
146.6
145.2
139.3
145.7
163.3
181.8
188.1
222.9
206.3
184.9
183.6
186.6
176.5
173.9
184.9
182.5
183.6
172.4
168.9
163.3
152.4
145.8
148.6
143.4
141.2
144.6
144.5
140.8
133.3
127.3
119.6
120.2
121.9
112.4
111
107.8
110.5
118.3
123
112.1
104.2
102.4
100.3
102.6
101.5
103.4
99.4
97.9
98
90.2
87.1
91.8
94.8
91.8
89.3
91.7
86.2
82.8
82.3
79.8
79.4
85.3
87.5
88.3
88.6
94.9
94.7
92.6
91.8
96.4
96.4
107.1
111.9
107.8
109.2
115.3
119.2
107.8
106.8
104.2
94.8
97.5
98.3
100.6
94.9
93.6
98
104.3
103.9
105.3
102.6
103.3
107.9
107.8
109.8
110.6
110.8
119.3
128.1
127.6
137.9
151.4
143.6
143.4
141.9
135.2
133.1
129.6
134.1
136.8
143.5
162.5
163.1
157.2
158.8
155.4
148.5
154.2
153.3
149.4
147.9
156
163
159.1
159.5
157.3
156.4
156.6
162.4
166.8
162.6
168.1

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7709&T=0

[TABLE]
[ROW][C]Summary of compuational 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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7709&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7709&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean124.848936170213129.653191489362
Biased Variance747.771009506564977.906177757658
Biased Standard Deviation27.345401981074731.271491454001
Covariance517.49423556231
Correlation0.600871399382028
Determination0.361046438595316
T-Test8.862459943201
p-value (2 sided)3.33066907387547e-15
p-value (1 sided)1.66533453693773e-15
Degrees of Freedom139
Number of Observations141

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 124.848936170213 & 129.653191489362 \tabularnewline
Biased Variance & 747.771009506564 & 977.906177757658 \tabularnewline
Biased Standard Deviation & 27.3454019810747 & 31.271491454001 \tabularnewline
Covariance & 517.49423556231 \tabularnewline
Correlation & 0.600871399382028 \tabularnewline
Determination & 0.361046438595316 \tabularnewline
T-Test & 8.862459943201 \tabularnewline
p-value (2 sided) & 3.33066907387547e-15 \tabularnewline
p-value (1 sided) & 1.66533453693773e-15 \tabularnewline
Degrees of Freedom & 139 \tabularnewline
Number of Observations & 141 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7709&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]124.848936170213[/C][C]129.653191489362[/C][/ROW]
[ROW][C]Biased Variance[/C][C]747.771009506564[/C][C]977.906177757658[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]27.3454019810747[/C][C]31.271491454001[/C][/ROW]
[ROW][C]Covariance[/C][C]517.49423556231[/C][/ROW]
[ROW][C]Correlation[/C][C]0.600871399382028[/C][/ROW]
[ROW][C]Determination[/C][C]0.361046438595316[/C][/ROW]
[ROW][C]T-Test[/C][C]8.862459943201[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]3.33066907387547e-15[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]1.66533453693773e-15[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]139[/C][/ROW]
[ROW][C]Number of Observations[/C][C]141[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7709&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7709&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
Mean124.848936170213129.653191489362
Biased Variance747.771009506564977.906177757658
Biased Standard Deviation27.345401981074731.271491454001
Covariance517.49423556231
Correlation0.600871399382028
Determination0.361046438595316
T-Test8.862459943201
p-value (2 sided)3.33066907387547e-15
p-value (1 sided)1.66533453693773e-15
Degrees of Freedom139
Number of Observations141


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')