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Bivariate EDA residu's

*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: Sat, 05 Dec 2009 07:12:28 -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/Dec/05/t1260022703kyiayjwzcwyvjig.htm/, Retrieved Sat, 05 Dec 2009 15:18:33 +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/Dec/05/t1260022703kyiayjwzcwyvjig.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:
JSSHWPAP11
 
Dataseries X:
» Textbox « » Textfile « » CSV «
64,42592896 47,69064634 61,95277662 69,48479846 66,46888521 72,11049407 75,08901594 51,9287114 74,0142332 70,04903748 61,37521144 54,3296681 52,12640731 44,72803771 43,39112469 55,16936356 56,31634195 60,38853759 46,72545061 53,26821152 60,80579823 51,78432011 41,53551598 37,18268971 43,88575516 44,40186375 50,43666803 42,19860296 52,12382022 60,64808078 42,37779853 39,76284198 67,37262435 52,22823305 46,60512454 54,40742862 37,18527681 42,77616814 56,51960273 52,31634195 40,54625504 48,2149069 52,60771163 42,56773317 44,51960273 39,83503763 64,54366795 55,07568979 35,35373332 45,55440701 41,06495073 41,3296681 59,84060251 47,51960273 52,35373332 52,12382022 39,80838532 48,20158074 43,60512454 40,0168203
 
Dataseries Y:
» Textbox « » Textfile « » CSV «
0,169087676 -0,973912324 -0,195912324 3,597087676 1,985087676 -1,740912324 2,351087676 -5,182912324 4,311087676 -0,247912324 4,116087676 3,221087676 -3,128912324 -2,453912324 6,728087676 1,687087676 0,688087676 -2,350912324 -0,532912324 2,714087676 1,803087676 -5,104912324 0,650087676 -4,779912324 1,001087676 0,182087676 2,623087676 -3,167912324 3,792087676 7,348087676 -1,804912324 -2,012912324 3,037087676 -4,884912324 -1,467912324 -5,521912324 -0,700912324 5,520087676 1,038087676 -3,311912324 -4,895912324 -1,417912324 -0,388912324 -0,987912324 2,038087676 0,948087676 1,025087676 -2,181912324 0,208087676 -3,520912324 -0,635912324 -0,778912324 4,244087676 -2,961912324 2,208087676 -2,207912324 -2,117912324 0,049087676 -2,467912324 2,390087676
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Model: Y[t] = c + b X[t] + e[t]
c-4.847062876889
b0.0932541431397675


Descriptive Statistics about e[t]
# observations60
minimum-5.74856758350717
Q1-2.00531222103000
median0.0762987028149353
mean6.6967554187188e-18
Q31.80980263682098
maximum7.52874840005224
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/16s1y1260022345.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/16s1y1260022345.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/2okkc1260022345.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/2okkc1260022345.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/3d0fx1260022345.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/3d0fx1260022345.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/462b71260022345.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/462b71260022345.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/50t3q1260022345.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/50t3q1260022345.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/64xzb1260022345.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/64xzb1260022345.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/70yqd1260022345.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/70yqd1260022345.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/8kaxd1260022345.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/05/t1260022703kyiayjwzcwyvjig/8kaxd1260022345.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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Software written by Ed van Stee & Patrick Wessa


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