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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_edabi.wasp
Title produced by softwareBivariate Explorative Data Analysis
Date of computationWed, 21 Oct 2009 09:12:14 -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/2009/Oct/21/t1256137999jbj1pwhfcb4jzr5.htm/, Retrieved Sat, 27 Apr 2024 05:41:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49404, Retrieved Sat, 27 Apr 2024 05:41:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact187

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
- RMPD    [Bivariate Explorative Data Analysis] [Bivariate EDA par...] [2009-10-21 15:12:14] [eeda0e496238f8886c14dbbeff6ff613] [Current]
-    D      [Bivariate Explorative Data Analysis] [Ln] [2009-10-27 16:19:13] [2f74b736c031245eb7b9a6567f4b8492]
- RMP         [Kendall tau Rank Correlation] [Kendall tau Rank ...] [2009-10-28 15:55:47] [2f74b736c031245eb7b9a6567f4b8492]
- RMPD        [Trivariate Scatterplots] [Trivariate Scatte...] [2009-10-28 16:11:45] [2f74b736c031245eb7b9a6567f4b8492]
- RMPD        [Partial Correlation] [Partial Correlati...] [2009-10-28 16:14:27] [2f74b736c031245eb7b9a6567f4b8492]
- RMP           [Trivariate Scatterplots] [WS 5 Review ] [2009-11-07 10:22:32] [83058a88a37d754675a5cd22dab372fc]
-    D        [Bivariate Explorative Data Analysis] [Bivariate EDA WS5] [2009-10-28 16:21:27] [2f74b736c031245eb7b9a6567f4b8492]
-    D        [Bivariate Explorative Data Analysis] [Bivariate EDA WS5] [2009-10-28 16:26:59] [2f74b736c031245eb7b9a6567f4b8492]
-    D        [Bivariate Explorative Data Analysis] [Bivariate EDA WS5 ] [2009-10-28 16:30:59] [2f74b736c031245eb7b9a6567f4b8492]
-  M D      [Bivariate Explorative Data Analysis] [Bivariate EDA ] [2009-11-09 08:25:54] [2f74b736c031245eb7b9a6567f4b8492]
- RMPD      [Mean Plot] [Mean plot] [2009-11-09 08:33:49] [2f74b736c031245eb7b9a6567f4b8492]
- RMPD      [Standard Deviation Plot] [Standard Deviatio...] [2009-11-09 08:38:22] [2f74b736c031245eb7b9a6567f4b8492]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7,5
6,8
6,5
6,6
7,6
8
8,1
7,7
7,5
7,6
7,8
7,8
7,8
7,5
7,5
7,1
7,5
7,5
7,6
7,7
7,7
7,9
8,1
8,2
8,2
8,2
7,9
7,3
6,9
6,6
6,7
6,9
7
7,1
7,2
7,1
6,9
7
6,8
6,4
6,7
6,6
6,4
6,3
6,2
6,5
6,8
6,8
6,4
6,1
5,8
6,1
7,2
7,3
6,9
6,1
5,8
6,2
7,1
7,7
7,9
Dataseries Y:
Download CSV
Histogram 
9,3
8,3
8
8,5
10,4
11,1
10,9
10
9,2
9,2
9,5
9,6
9,5
9,1
8,9
9
10,1
10,3
10,2
9,6
9,2
9,3
9,4
9,4
9,2
9
9
9
9,8
10
9,8
9,3
9
9
9,1
9,1
9,1
9,2
8,8
8,3
8,4
8,1
7,7
7,9
7,9
8
7,9
7,6
7,1
6,8
6,5
6,9
8,2
8,7
8,3
7,9
7,5
7,8
8,3
8,4
8,2

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'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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49404&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49404&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49404&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'Gwilym Jenkins' @ 72.249.127.135






Model: Y[t] = c + b X[t] + e[t]
c1.14449606218150
b1.07887218819169

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 1.14449606218150 \tabularnewline
b & 1.07887218819169 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49404&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]1.14449606218150[/C][/ROW]
[ROW][C]b[/C][C]1.07887218819169[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49404&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49404&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:

Model: Y[t] = c + b X[t] + e[t]
c1.14449606218150
b1.07887218819169






Descriptive Statistics about e[t]
# observations61
minimum-1.46758634889587
Q1-0.367586348895866
median-0.0360374736191903
mean8.03553774066716e-17
Q30.295511401657487
maximum1.73494749575333

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 61 \tabularnewline
minimum & -1.46758634889587 \tabularnewline
Q1 & -0.367586348895866 \tabularnewline
median & -0.0360374736191903 \tabularnewline
mean & 8.03553774066716e-17 \tabularnewline
Q3 & 0.295511401657487 \tabularnewline
maximum & 1.73494749575333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49404&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]-1.46758634889587[/C][/ROW]
[ROW][C]Q1[/C][C]-0.367586348895866[/C][/ROW]
[ROW][C]median[/C][C]-0.0360374736191903[/C][/ROW]
[ROW][C]mean[/C][C]8.03553774066716e-17[/C][/ROW]
[ROW][C]Q3[/C][C]0.295511401657487[/C][/ROW]
[ROW][C]maximum[/C][C]1.73494749575333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49404&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49404&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Descriptive Statistics about e[t]
# observations61
minimum-1.46758634889587
Q1-0.367586348895866
median-0.0360374736191903
mean8.03553774066716e-17
Q30.295511401657487
maximum1.73494749575333


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 36 ;
Parameters (R input):
par1 = 0 ; par2 = 36 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
x <- as.ts(x)
y <- as.ts(y)
mylm <- lm(y~x)
cbind(mylm$resid)
library(lattice)
bitmap(file='pic1.png')
plot(y,type='l',main='Run Sequence Plot of Y[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic1a.png')
plot(x,type='l',main='Run Sequence Plot of X[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic1b.png')
plot(x,y,main='Scatter Plot',xlab='X[t]',ylab='Y[t]')
grid()
dev.off()
bitmap(file='pic1c.png')
plot(mylm$resid,type='l',main='Run Sequence Plot of e[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic2.png')
hist(mylm$resid,main='Histogram of e[t]')
dev.off()
bitmap(file='pic3.png')
if (par1 > 0)
{
densityplot(~mylm$resid,col='black',main=paste('Density Plot of e[t]   bw = ',par1),bw=par1)
} else {
densityplot(~mylm$resid,col='black',main='Density Plot of e[t]')
}
dev.off()
bitmap(file='pic4.png')
qqnorm(mylm$resid,main='QQ plot of e[t]')
qqline(mylm$resid)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='pic5.png')
acf(mylm$resid,lag.max=par2,main='Residual Autocorrelation Function')
grid()
dev.off()
}
summary(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Model: Y[t] = c + b X[t] + e[t]',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'c',1,TRUE)
a<-table.element(a,mylm$coeff[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'b',1,TRUE)
a<-table.element(a,mylm$coeff[[2]])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Descriptive Statistics about e[t]',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'# observations',header=TRUE)
a<-table.element(a,length(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'minimum',header=TRUE)
a<-table.element(a,min(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q1',header=TRUE)
a<-table.element(a,quantile(mylm$resid,0.25))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
a<-table.element(a,median(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,mean(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q3',header=TRUE)
a<-table.element(a,quantile(mylm$resid,0.75))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'maximum',header=TRUE)
a<-table.element(a,max(mylm$resid))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')