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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, 04 Nov 2009 04:18:46 -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/2009/Nov/04/t1257333566lcxnx9ndzl33fg2.htm/, Retrieved Mon, 29 Apr 2024 12:30:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53558, Retrieved Mon, 29 Apr 2024 12:30:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Partial Correlation] [workshop 5] [2009-11-03 18:55:39] [0a7d38ad9c7f1a2c46637c75a8a0e083]
- RMPD    [Bivariate Explorative Data Analysis] [workshop 5] [2009-11-04 11:18:46] [30a48cc4afddc7f052994dfe2358176d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3,8196874184
1,7176731695
0,8257301652
0,5297586631
-0,2722555858
-0,9762840837
-1,0762840837
-0,9762840837
-0,9702413369
-1,2702413369
3,1378156589
2,7297586631
2,7297586631
1,9277444142
0,7257301652
0,3257301652
-1,0782983326
-1,7823268305
-2,7843410795
-2,9843410795
-3,3843410795
-2,7782983326
2,2337871610
3,7418441568
4,0478869037
2,2458726547
0,3418441568
-0,9601700921
-1,3621843411
-1,7641985900
-1,3621843411
0,3418441568
-0,5601700921
-0,9561415942
2,5519154015
1,3458726547
0,1478869037
-0,4480845985
-1,3460703495
-1,0440561006
-1,3500988474
-2,5561415942
-4,0561415942
-4,2480845985
-4,5420418516
-2,0359991048
4,1579581484
3,5358014100
1,8337871610
-0,0581558432
-1,3420418516
-0,0359991048
1,6559438994
1,2378156589
0,3257301652
-0,9782983326
-2,0742698348
-0,9682270879
2,7297586631
2,2196874184
1,2176731695
Dataseries Y:
Download CSV
Histogram 
1,6387531550
1,3499707810
0,8051002773
0,1826650254
0,0938826513
0,2163179032
0,3163179032
0,2163179032
0,0826650254
-0,1173349746
0,3377945217
1,0826650254
1,2826650254
1,0938826513
0,4051002773
0,0051002773
-0,0724644709
-0,1500292190
-0,2388115931
-0,4388115931
-0,6388115931
-0,3724644709
0,1602297736
1,3153592699
1,7817063921
1,4929240181
0,8153592699
0,4265768958
0,3377945217
0,3490121477
0,4377945217
0,6153592699
0,6265768958
0,4041416440
0,2592711403
0,0929240181
-0,1182936079
-0,3407288597
-0,0519464856
0,0368358884
-0,1295112338
-0,4958583560
-0,7958583560
-0,9407288597
-0,9743817375
-1,0080346152
-0,8743817375
-0,5509878523
-0,1397702264
-0,1846407301
0,1256182625
-0,0080346152
-0,0631641116
-0,3622054783
-0,7948997227
-1,1724644709
-1,4948997227
-1,7285526005
-1,7173349746
-1,3612468450
-1,0500292190

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53558&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53558&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53558&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Model: Y[t] = c + b X[t] + e[t]
c5.09960322201057e-13
b0.1555385824191

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 5.09960322201057e-13 \tabularnewline
b & 0.1555385824191 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53558&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]5.09960322201057e-13[/C][/ROW]
[ROW][C]b[/C][C]0.1555385824191[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53558&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53558&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]
c5.09960322201057e-13
b0.1555385824191






Descriptive Statistics about e[t]
# observations61
minimum-2.14191776740534
Q1-0.267918986614422
median0.0804812270497468
mean-1.51326185189206e-17
Q30.552858552153296
maximum1.15210380130515

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 61 \tabularnewline
minimum & -2.14191776740534 \tabularnewline
Q1 & -0.267918986614422 \tabularnewline
median & 0.0804812270497468 \tabularnewline
mean & -1.51326185189206e-17 \tabularnewline
Q3 & 0.552858552153296 \tabularnewline
maximum & 1.15210380130515 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53558&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]-2.14191776740534[/C][/ROW]
[ROW][C]Q1[/C][C]-0.267918986614422[/C][/ROW]
[ROW][C]median[/C][C]0.0804812270497468[/C][/ROW]
[ROW][C]mean[/C][C]-1.51326185189206e-17[/C][/ROW]
[ROW][C]Q3[/C][C]0.552858552153296[/C][/ROW]
[ROW][C]maximum[/C][C]1.15210380130515[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53558&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53558&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-2.14191776740534
Q1-0.267918986614422
median0.0804812270497468
mean-1.51326185189206e-17
Q30.552858552153296
maximum1.15210380130515


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')