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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 10:48:40 -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/t1257356979ew3ykm9005terby.htm/, Retrieved Mon, 29 Apr 2024 09:43:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53762, Retrieved Mon, 29 Apr 2024 09:43:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Bivariate Explorative Data Analysis] [WS5] [2009-11-03 17:19:04] [eea7474c6df699240a34279975905c82]
-    D  [Bivariate Explorative Data Analysis] [reeks X t.o.v Z] [2009-11-04 17:42:17] [cd6314e7e707a6546bd4604c9d1f2b69]
-    D    [Bivariate Explorative Data Analysis] [reeks Y t.o.v. Z] [2009-11-04 17:45:28] [cd6314e7e707a6546bd4604c9d1f2b69]
-    D        [Bivariate Explorative Data Analysis] [e(t) t.o.v. e'(t)] [2009-11-04 17:48:40] [ea241b681aafed79da4b5b99fad98471] [Current]
- RMPD          [Pearson Correlation] [correlatie e(t) e...] [2009-11-04 17:50:43] [cd6314e7e707a6546bd4604c9d1f2b69]
-   PD          [Bivariate Explorative Data Analysis] [e(t) t.o.v. e'(t)] [2009-11-04 18:01:26] [cd6314e7e707a6546bd4604c9d1f2b69]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,328553678
0,428553678
0,397030204
0,197030204
0,297030204
0,673258107
0,673258107
0,673258107
0,245092359
0,245092359
-0,154907641
0,164988767
0,164988767
0,264988767
0,156719426
0,156719426
0,356719426
0,861113078
0,961113078
0,961113078
1,297548166
0,997548166
0,397548166
0,125713914
-0,174286086
-0,074286086
-0,018472552
0,081527448
0,181527448
0,47377607
0,37377607
0,17377607
0,450003973
0,250003973
-0,149996027
-0,218472552
-0,318472552
-0,518472552
-0,266016745
-0,366016745
-0,066016745
0,153879662
0,153879662
-0,246120338
-0,225705968
-0,525705968
-0,225705968
-0,183073389
-0,083073389
-0,483073389
-0,433975308
-0,733975308
-0,333975308
0,005299544
0,605299544
0,805299544
0,717444574
0,417444574
0,517444574
1,017444574
1,117444574
Dataseries Y:
Download CSV
Histogram 
0,788105644
0,788105644
0,677096311
0,177096311
0,277096311
0,710961413
0,810961413
0,710961413
0,240877703
0,140877703
-0,059122297
0,534575384
0,634575384
0,634575384
0,158189355
0,058189355
0,158189355
0,762138167
0,762138167
0,662138167
1,008607906
0,808607906
0,508607906
0,878691617
0,778691617
0,778691617
0,487347443
0,387347443
0,387347443
0,742473008
0,742473008
0,642473008
0,97633811
0,67633811
0,17633811
-0,012652557
-0,212652557
-0,512652557
-0,044922354
-0,044922354
0,155077646
0,148775327
-0,051224673
-0,351224673
-0,326015397
-0,626015397
-0,226015397
-0,429206007
-0,229206007
-0,629206007
-0,102401426
-0,402401426
-0,102401426
-0,046517659
0,253482341
0,253482341
0,102305587
-0,297694413
-0,197694413
0,502305587
0,702305587

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53762&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53762&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53762&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 time3 seconds
R Server'George Udny Yule' @ 72.249.76.132






Model: Y[t] = c + b X[t] + e[t]
c0.135901706843465
b0.675353765308922

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 0.135901706843465 \tabularnewline
b & 0.675353765308922 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53762&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]0.135901706843465[/C][/ROW]
[ROW][C]b[/C][C]0.675353765308922[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53762&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53762&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]
c0.135901706843465
b0.675353765308922






Descriptive Statistics about e[t]
# observations61
minimum-0.715518884702144
Q1-0.209485728501970
median-0.012751651065458
mean3.06811441007291e-17
Q30.220372308569328
maximum0.76049467457759

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 61 \tabularnewline
minimum & -0.715518884702144 \tabularnewline
Q1 & -0.209485728501970 \tabularnewline
median & -0.012751651065458 \tabularnewline
mean & 3.06811441007291e-17 \tabularnewline
Q3 & 0.220372308569328 \tabularnewline
maximum & 0.76049467457759 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53762&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]-0.715518884702144[/C][/ROW]
[ROW][C]Q1[/C][C]-0.209485728501970[/C][/ROW]
[ROW][C]median[/C][C]-0.012751651065458[/C][/ROW]
[ROW][C]mean[/C][C]3.06811441007291e-17[/C][/ROW]
[ROW][C]Q3[/C][C]0.220372308569328[/C][/ROW]
[ROW][C]maximum[/C][C]0.76049467457759[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53762&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53762&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-0.715518884702144
Q1-0.209485728501970
median-0.012751651065458
mean3.06811441007291e-17
Q30.220372308569328
maximum0.76049467457759


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')