Home » date » 2009 » Oct » 27 »

ws4 kwadraat

*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 13:24:27 -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/t1256671555x8gwfk7wizpygio.htm/, Retrieved Tue, 27 Oct 2009 20:25:55 +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/t1256671555x8gwfk7wizpygio.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 «
81425193201 82140706404 80112773764 76555695969 77236747225 76799928384 76786072609 75645351369 72981022500 71363779600 70221290049 82517733081 84789286596 85439290000 83051170596 79229301529 79894414336 78506436100 78628646464 76638170896 75743846656 75269019904 73609658721 83985199204 84521607076 85439290000 77565592036 72806070276 70682071321 72379293156 69788958976 65126019204 64187742609 60544047249 55399978384 66851205136 68117346049 64853243569 62821913449 59254270084 61060881025 61772628681 60044111521 56206926400 56209297225 50874606916 51455931921 61471268356 61669278889 60993686961 60073029604 60645465169 65415735225 69864533761 72010112409 74554118116 75055725369 71518804900 73980192049 85679144100 87545566161 86024303401
 
Dataseries Y:
» Textbox « » Textfile « » CSV «
325412 326011 328282 317480 317539 313737 312276 309391 302950 300316 304035 333476 337698 335932 323931 313927 314485 313218 309664 302963 298989 298423 310631 329765 335083 327616 309119 295916 291413 291542 284678 276475 272566 264981 263290 296806 303598 286994 276427 266424 267153 268381 262522 255542 253158 243803 250741 280445 285257 270976 261076 255603 260376 263903 264291 263276 262572 256167 264221 293860 300713 287224
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Model: Y[t] = c + b X[t] + e[t]
c132098.693409757
b2.2292420848085e-06


Descriptive Statistics about e[t]
# observations62
minimum-36844.0751081612
Q1-2488.29080241263
median3421.09517402707
mean-2.27373675443232e-13
Q310440.3930493331
maximum19649.2520723478
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/1brz11256671456.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/1brz11256671456.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/2kxrt1256671456.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/2kxrt1256671456.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/33vgx1256671456.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/33vgx1256671456.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/4n3dp1256671456.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/4n3dp1256671456.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/5x4su1256671456.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/5x4su1256671456.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/64btz1256671456.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/64btz1256671456.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/7pbww1256671456.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/7pbww1256671456.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/8kpav1256671456.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/27/t1256671555x8gwfk7wizpygio/8kpav1256671456.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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