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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 computationThu, 29 Oct 2009 08:53:44 -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/29/t1256828080cv4hqp496zxqwts.htm/, Retrieved Mon, 29 Apr 2024 01:03:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52005, Retrieved Mon, 29 Apr 2024 01:03:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsJSSHWWS5
Estimated Impact135

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bivariate Explorative Data Analysis] [Besluit] [2009-10-29 14:53:44] [c8fd62404619100d8e91184019148412] [Current]
-  M D    [Bivariate Explorative Data Analysis] [Bivariate EDA res...] [2009-12-05 14:12:28] [214e6e00abbde49700521a7ef1d30da2]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,660209233
0,566270709
0,342024802
0,029901849
0,035963326
0,048086279
0,148086279
0,048086279
0,029901849
-0,070098151
0,105655942
0,429901849
0,529901849
0,435963326
0,142024802
0,042024802
-0,045852244
-0,033729291
-0,127667814
-0,227667814
-0,327667814
-0,245852244
0,017778895
0,593532988
0,775348558
0,681410035
0,393532988
0,199594465
0,105655942
0,111717418
0,205655942
0,293532988
0,299594465
0,187471511
0,063225604
0,081410035
-0,024651442
-0,136774396
-0,042835873
0,051102651
-0,030712919
-0,212528489
-0,412528489
-0,336774396
-0,454958826
-0,473143256
-0,354958826
-0,188282582
-0,082221105
-0,106467012
0,045041174
0,026856744
-0,048897349
-0,094344058
-0,357975198
-0,545852244
-0,657975198
-0,776159628
-0,770098151
-0,539790767
Dataseries Y:
Download CSV
Histogram 
1,589615427
1,297013668
0,767420705
0,152624224
0,060022464
0,174818946
0,274818946
0,174818946
0,052624224
-0,147375776
0,323031261
1,052624224
1,252624224
1,060022464
0,367420705
-0,032579295
-0,117782813
-0,202986332
-0,295588091
-0,495588091
-0,695588091
-0,417782813
0,137827742
1,308234779
1,786040057
1,493438298
0,808234779
0,41563302
0,323031261
0,330429502
0,423031261
0,608234779
0,61563302
0,400836539
0,271243576
0,093438298
-0,113959943
-0,328756424
-0,036154665
0,056447094
-0,121358184
-0,499163461
-0,799163461
-0,928756424
-0,950951146
-0,973145869
-0,850951146
-0,569570498
-0,162172258
-0,191765221
0,149048854
0,026854131
-0,043552906
-0,376968739
-0,832579295
-1,217782813
-1,532579295
-1,754774017
-1,747375776
-1,410384573

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52005&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52005&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52005&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Model: Y[t] = c + b X[t] + e[t]
c-4.27196562062722e-11
b2.28159020295106

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -4.27196562062722e-11 \tabularnewline
b & 2.28159020295106 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52005&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-4.27196562062722e-11[/C][/ROW]
[ROW][C]b[/C][C]2.28159020295106[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52005&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52005&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]
c-4.27196562062722e-11
b2.28159020295106






Descriptive Statistics about e[t]
# observations60
minimum-0.178803247326640
Q1-0.0474644632680772
median0.00035675443373295
mean-1.36157722827971e-18
Q30.0651057629799481
maximum0.143151258326654

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -0.178803247326640 \tabularnewline
Q1 & -0.0474644632680772 \tabularnewline
median & 0.00035675443373295 \tabularnewline
mean & -1.36157722827971e-18 \tabularnewline
Q3 & 0.0651057629799481 \tabularnewline
maximum & 0.143151258326654 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52005&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]-0.178803247326640[/C][/ROW]
[ROW][C]Q1[/C][C]-0.0474644632680772[/C][/ROW]
[ROW][C]median[/C][C]0.00035675443373295[/C][/ROW]
[ROW][C]mean[/C][C]-1.36157722827971e-18[/C][/ROW]
[ROW][C]Q3[/C][C]0.0651057629799481[/C][/ROW]
[ROW][C]maximum[/C][C]0.143151258326654[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52005&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52005&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]
# observations60
minimum-0.178803247326640
Q1-0.0474644632680772
median0.00035675443373295
mean-1.36157722827971e-18
Q30.0651057629799481
maximum0.143151258326654


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')