Home » date » 2009 » Nov » 03 »

WS 4 Review 1.1

*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, 03 Nov 2009 13:21:59 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8.htm/, Retrieved Tue, 03 Nov 2009 21:23:36 +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/Nov/03/t12572798141x7ptohf1hyz7j8.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 «
2252451600 2510410816 3777946225 2886483076 1558433529 1926771025 991053361 893770816 1145280964 1530374400 1135824804 629708836 2646279364 2078812836 2758140324 2358462096 1742645025 2458672225 1072366009 1114157641 1270566025 1371517156 1273133761 439824784 3428336704 3020052025 4295491600 2659464900 2615811025 2175382881 1274775616 1105762009 1238547249 1736222224 1215568225 449864100 3150127876 2423691361 3566836729 2313898609 2253590784 2549947009 1604723481 1166154201 1358659600 2148878736 1337876929 569872384 3280540176 3179719321 3324329649 3881290000 2394047041 2618164224 1571012496 1103103369 1453668129 1874110681 936360000 482065936
 
Dataseries Y:
» Textbox « » Textfile « » CSV «
315844 314721 308025 295936 288369 294849 352836 373321 375769 373321 352836 354025 349281 346921 341056 328329 321489 323761 385641 395641 394384 374544 354025 356409 351649 348100 336400 329476 328329 328329 384400 391876 384400 345744 320356 310249 314721 301401 283024 276676 261121 249001 308025 319225 293764 277729 260100 264196 267289 258064 243049 240100 219961 228484 278784 285156 268324 256036 252004 266256
 
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'RServer@AstonUniversity' @ vre.aston.ac.uk


Model: Y[t] = c + b X[t] + e[t]
c345322.056187317
b-1.54463037941502e-05


Descriptive Statistics about e[t]
# observations60
minimum-88381.8782945449
Q1-35336.4032044594
median6744.75371632064
mean1.02318153949454e-12
Q334865.9430975589
maximum68687.4926253585
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/1a8ei1257279712.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/1a8ei1257279712.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/2fnox1257279712.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/2fnox1257279712.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/3knar1257279712.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/3knar1257279712.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/4mb4g1257279712.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/4mb4g1257279712.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/5zelw1257279712.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/5zelw1257279712.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/6b0u21257279712.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/6b0u21257279712.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/74nhk1257279712.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/74nhk1257279712.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/8dryt1257279712.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/03/t12572798141x7ptohf1hyz7j8/8dryt1257279712.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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