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shw-ws4p2

*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: Wed, 28 Oct 2009 11:59:00 -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/28/t1256752786izlte0fn7eiywhv.htm/, Retrieved Wed, 28 Oct 2009 18:59:54 +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/28/t1256752786izlte0fn7eiywhv.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:
Workshop 4 Part 2.3
 
Dataseries X:
» Textbox « » Textfile « » CSV «
6395841 4822416 10252804 7387524 7441984 5541316 7273809 7027801 4272489 6974881 6446521 5262436 7354944 5354596 9560464 7166329 7912969 7118224 8637721 6848689 4977361 6155361 5861241 5798464 6553600 4410000 10989225 7845601 5774409 9144576 6285049 8880400 4888521 6105841 6728836 6012304 4981824 5631129 9778129 7851204 6974881 7767369 6859161 7873636 4809249 5396329 6395841 5817744 5116644 4639716 10432900 5267025 7371225 7469289 5368489 7452900 3659569 5712100 6170256 3841600
 
Dataseries Y:
» Textbox « » Textfile « » CSV «
226622650401 225249906025 221312852721 212752485001 206773916176 207595051876 267130821409 275826636864 273502850625 268930402225 259324359121 262387768644 269531258896 267298306081 260031664489 259210302129 250857734449 257019594841 324128678329 336068321796 334074752064 319749535296 299585454336 307789724944 316209405625 314557209316 308393630224 295499872801 288006102244 294547169284 352277860900 373031442169 375294687769 373717032976 353034423889 354565466116 349121448225 347367605641 341556087184 328443610000 322006311936 323792864784 385311940225 395495085456 394675445824 374687221689 354505923216 356577373881 352133054464 348184965184 336166880401 329711382025 328071200625 328262535364 383863267489 391636904481 384295847056 345303140625 320064010564 310554311076
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132


Model: Y[t] = c + b X[t] + e[t]
c351005341553.397
b-5618.25486015437


Descriptive Statistics about e[t]
# observations60
minimum-112277764128.746
Q1-40836169650.213
median10610561299.7231
mean9.5367431640625e-06
Q337568485756.1802
maximum88725837626.689
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/145ej1256752738.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/145ej1256752738.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/2hy4j1256752738.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/2hy4j1256752738.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/3zgi71256752738.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/3zgi71256752738.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/4uth91256752738.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/4uth91256752738.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/5uq841256752738.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/5uq841256752738.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/6yqlw1256752738.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/6yqlw1256752738.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/7z1601256752738.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/7z1601256752738.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/8l4yj1256752738.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752786izlte0fn7eiywhv/8l4yj1256752738.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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