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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 11:03:02 -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/t1257357821nev0ud91wqk2zdi.htm/, Retrieved Mon, 29 Apr 2024 16:21:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53769, Retrieved Mon, 29 Apr 2024 16:21:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact208

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] [SHW_WS5_volledigm...] [2009-10-29 19:10:17] [8b1aef4e7013bd33fbc2a5833375c5f5]
-  M D    [Bivariate Explorative Data Analysis] [WS5(3)] [2009-11-04 18:03:02] [5edea6bc5a9a9483633d9320282a2734] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,918019272
0,523156338
0,318019272
0,418019272
0,602608074
0,597471008
0,612882206
0,343704602
0,343704602
-0,056295398
0,338567536
0,359115801
0,428293404
0,53343047
0,512882206
0,692333942
0,897471008
1,012882206
1,00774514
1,018019272
0,697471008
0,097471008
-0,302528992
-0,602528992
-0,523077256
-0,31794019
-0,171706596
-0,107666058
-0,01794019
-0,107666058
-0,323077256
-0,223077256
-0,41794019
-0,807666058
-0,502528992
-0,602528992
-0,807666058
-0,871706596
-0,99225486
-0,681980728
-0,397391926
-0,397391926
-0,776843662
-1,06656953
-1,356295398
-1,046021265
0,043704602
0,13343047
-0,225473001
-0,999787671
-1,284376473
-0,910061803
0,010486461
0,610486461
0,800212329
0,584801131
0,279664065
0,374526999
0,843704602
0,943704602
Dataseries Y:
Download CSV
Histogram 
2,110170676
1,263534631
0,410170676
0,410170676
0,550078811
0,596714856
0,656806721
0,576990451
0,376990451
0,476990451
1,523626496
1,937082315
1,516898586
0,970262541
0,356806721
0,243350901
0,396714856
0,556806721
0,303442766
0,210170676
-0,003285144
-0,003285144
0,796714856
0,996714856
0,583259036
0,136622991
0,316898586
-0,056649099
-0,063377009
0,043350901
-0,116740964
-0,016740964
-0,363377009
-0,756649099
-0,603285144
-0,903285144
-1,356649099
-0,783101414
-0,996557234
-0,789829324
-1,049921189
-1,349921189
-1,636465369
-1,829737459
-2,023009549
-1,516281639
-0,323009549
0,070262541
0,09717418
-0,036006045
-0,27591418
-0,242733955
0,470721865
0,570721865
0,263993955
-0,39609791
-0,949461865
-0,90282582
-0,423009549
-0,023009549

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 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 & 7 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53769&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]7 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=53769&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53769&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 time7 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Model: Y[t] = c + b X[t] + e[t]
c9.34941437960408e-11
b0.804824576672156

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 9.34941437960408e-11 \tabularnewline
b & 0.804824576672156 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53769&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]9.34941437960408e-11[/C][/ROW]
[ROW][C]b[/C][C]0.804824576672156[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53769&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53769&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]
c9.34941437960408e-11
b0.804824576672156






Descriptive Statistics about e[t]
# observations60
minimum-1.20425435351596
Q1-0.440670074827649
median-0.0320670266144373
mean-3.33491553238437e-17
Q30.408154870883746
maximum1.6480570923904

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -1.20425435351596 \tabularnewline
Q1 & -0.440670074827649 \tabularnewline
median & -0.0320670266144373 \tabularnewline
mean & -3.33491553238437e-17 \tabularnewline
Q3 & 0.408154870883746 \tabularnewline
maximum & 1.6480570923904 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53769&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]-1.20425435351596[/C][/ROW]
[ROW][C]Q1[/C][C]-0.440670074827649[/C][/ROW]
[ROW][C]median[/C][C]-0.0320670266144373[/C][/ROW]
[ROW][C]mean[/C][C]-3.33491553238437e-17[/C][/ROW]
[ROW][C]Q3[/C][C]0.408154870883746[/C][/ROW]
[ROW][C]maximum[/C][C]1.6480570923904[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53769&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53769&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-1.20425435351596
Q1-0.440670074827649
median-0.0320670266144373
mean-3.33491553238437e-17
Q30.408154870883746
maximum1.6480570923904


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')