Home » date » 2009 » Oct » 27 »

workshop 4/part 2

*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 09:31:17 -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/t1256657797im6n8zb75mw215j.htm/, Retrieved Tue, 27 Oct 2009 16:36:46 +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/t1256657797im6n8zb75mw215j.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 «
27501 26577 25705 25147 24740 24281 23577 22598 21903 21360 24226 25468 26858 25684 24938 24347 25137 24479 23810 23301 23076 23049 25870 27291 28706 28220 26612 25453 26066 25696 23851 24203 22433 19195 21955 23326 24490 23996 22181 22550 23013 22826 20544 20814 18518 17964 21139 21818 23028 21890 21833 22289 22380 22316 22614 22775 21221 20915 23889 24703
 
Dataseries Y:
» Textbox « » Textfile « » CSV «
19139 18826 18660 18642 18738 18892 18800 18519 18219 17978 18647 18731 18919 18398 18261 18158 19344 19041 19092 18937 19049 19111 19942 20130 20346 19962 19649 19512 19987 19928 18893 19214 18623 16014 16698 17223 17058 17043 16458 16625 17247 17269 15895 16127 15247 15174 16309 16374 16255 16092 16395 16951 17202 17438 17594 17999 17375 17307 18496 18647
 
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]
c6403.51932747131
b0.493232821347709


Descriptive Statistics about e[t]
# observations60
minimum-1506.68473746636
Q1-536.501257870834
median-31.2283494141759
mean-4.49582500857323e-16
Q3569.604882578923
maximum1338.95737328534
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/13l701256657474.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/13l701256657474.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/2wep51256657474.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/2wep51256657474.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/38jz41256657474.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/38jz41256657474.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/43dwn1256657474.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/43dwn1256657474.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/5in6z1256657474.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/5in6z1256657474.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/60hck1256657474.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/60hck1256657474.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/7o06q1256657474.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/7o06q1256657474.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/8bl7h1256657474.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256657797im6n8zb75mw215j/8bl7h1256657474.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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