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Shwws4v2

*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 15:25:39 -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/t1256765355kdddm5frrrwzk00.htm/, Retrieved Wed, 28 Oct 2009 22:29:24 +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/t1256765355kdddm5frrrwzk00.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 «
10070,1225 10070,1225 10072,1296 10078,1521 10068,1156 10068,1156 10070,1225 10086,1849 10094,2209 10134,4489 10150,5625 10156,6084 10158,6241 10134,4489 10128,4096 10128,4096 10152,5776 10158,6241 10158,6241 10180,81 10196,9604 10223,2321 10237,3924 10245,4884 10247,5129 10219,1881 10253,5876 10257,6384 10288,0449 10308,3409 10310,3716 10310,3716 10361,2041 10440,7524 10479,6169 10498,0516 10498,0516 10410,1209 10457,1076 10471,4289 10493,9536 10506,25 10510,3504 10539,0756 10551,3984
 
Dataseries Y:
» Textbox « » Textfile « » CSV «
102,1 102,86 102,99 103,73 105,02 104,43 104,63 104,93 105,87 105,66 106,76 106 107,22 107,33 107,11 108,86 107,72 107,88 108,38 107,72 108,41 109,9 111,45 112,18 113,34 113,46 114,06 115,54 116,39 115,94 116,97 115,94 115,91 116,43 116,26 116,35 117,9 117,7 117,53 117,86 117,65 116,51 115,93 115,31 115
 
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'Gwilym Jenkins' @ 72.249.127.135


Model: Y[t] = c + b X[t] + e[t]
c-191.666162650508
b0.0295083767988749


Descriptive Statistics about e[t]
# observations45
minimum-4.68847709173756
Q1-1.31032154254915
median-0.218345050423265
mean5.27163189644063e-17
Q31.51843045480626
maximum4.51990367669994
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/1mfuk1256765137.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/1mfuk1256765137.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/2rt9z1256765137.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/2rt9z1256765137.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/3rwaj1256765137.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/3rwaj1256765137.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/4wvxj1256765137.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/4wvxj1256765137.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/5z5eh1256765137.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/5z5eh1256765137.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/69t061256765137.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/69t061256765137.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/7mp1r1256765137.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/7mp1r1256765137.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/8cgkj1256765137.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/28/t1256765355kdddm5frrrwzk00/8cgkj1256765137.ps (open in new window)


 
Parameters (Session):
par1 = 0 ; par2 = 10 ;
 
Parameters (R input):
par1 = 0 ; par2 = 10 ;
 
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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