Home » date » 2009 » Oct » 27 »

*The author of this computation has been verified*
R Software Module: rwasp_edabi.wasp (opens new window with default values)
Title produced by software: Bivariate Explorative Data Analysis
Date of computation: Tue, 27 Oct 2009 15:54:31 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099.htm/, Retrieved Tue, 27 Oct 2009 22:55:08 +0100
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099.htm/},
    year = {2009},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2009},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
12,24603827 12,23081404 12,2075216 12,19646666 12,18170823 12,16209463 12,27264659 12,32731635 12,34834882 12,34261637 12,28408869 12,28632918 12,30231875 12,30190542 12,29428497 12,27798392 12,25821433 12,25330445 12,3759884 12,39702766 12,39618875 12,39925583 12,38231325 12,38979738 12,40800073 12,40728138 12,39492284 12,39064583 12,37196413 12,37580276 12,48589516 12,507469 12,50486156 12,4951425 12,46115275 12,47919803 12,49654956 12,49637379 12,48664324 12,46405424 12,44840687 12,44850104 12,53273622 12,56147528 12,56584977 12,55335058 12,53064218 12,53507059 12,53223477 12,53214456 12,52466091 12,50673264 12,49552814 12,48745869 12,56813953 12,58171752 12,58553595 12,57136138 12,54780602 12,55198589 12,54322322 12,54400096 12,53118055 12,52531152 12,52216723 12,51102104 12,57695321 12,58013652 12,58553595 12,53719488 12,50553259 12,49072889 12,50259304 12,48437083 12,44979499 12,44253905 12,4133185 12,36892252 12,46286758 12, etc...
 
Dataseries Y:
» Textbox « » Textfile « » CSV «
12,46412764 12,44925409 12,41996554 12,40811104 12,39214134 12,388115 12,50709163 12,55635269 12,55089563 12,51931281 12,4480615 12,44648228 12,45231925 12,44701682 12,43716453 12,41446392 12,40500137 12,41289574 12,54185178 12,55359433 12,54645508 12,5280257 12,50874431 12,51319331 12,52238591 12,51514799 12,50008837 12,50092644 12,48660925 12,50608094 12,62722736 12,64227709 12,63898105 12,60628063 12,57498096 12,58442346 12,59443229 12,58959203 12,57954817 12,55931771 12,54901675 12,57020869 12,66432942 12,69284735 12,6946864 12,70162827 12,6681701 12,66835592 12,65631033 12,65164269 12,64236113 12,62132305 12,61259053 12,62489811 12,71732618 12,72990728 12,72466404 12,68828581 12,65691575 12,65869166 12,65465471 12,64324312 12,62136596 12,60816206 12,60626722 12,61695969 12,70613556 12,72213354 12,69959747 12,6414816 12,59783091 12,58249678 12,58293936 12,559114 12,52987568 12,51563607 12,4874134 12,48101137 12,60083401 12,6234 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'George Udny Yule' @ 72.249.76.132


Model: Y[t] = c + b X[t] + e[t]
c3.3662805914397
b0.73851187660556


Descriptive Statistics about e[t]
# observations103
minimum-0.141592955289681
Q1-0.0184264736210185
median0.00474741703457031
mean4.32128249378264e-18
Q30.0361188689008246
maximum0.086202567411398
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/197s51256680467.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/197s51256680467.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/2u54u1256680467.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/2u54u1256680467.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/3kyon1256680467.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/3kyon1256680467.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/4ip641256680467.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/4ip641256680467.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/50zc21256680467.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/50zc21256680467.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/6t4ra1256680467.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/6t4ra1256680467.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/703so1256680467.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/703so1256680467.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/836uz1256680467.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t12566805003sdnjm1jtpfm099/836uz1256680467.ps (open in new window)


 
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')
 





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