Home » date » 2009 » Nov » 04 »

Yt gezuiverd van Zt WS5 Bivariate EDA

*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, 04 Nov 2009 08:49:53 -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/Nov/04/t1257349892efzjcipuip5tast.htm/, Retrieved Wed, 04 Nov 2009 16:51:34 +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/Nov/04/t1257349892efzjcipuip5tast.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:
populatieaangroei gezuiverd met het sterftecijfer in bivariate EDA
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
29211 29870 32045 32209 32062 31623 32652 30030 29220 29894 28375 29082 29699 27736 28417 28412 29158 29099 29981 30560 31645 31761 32543 33313 34318 36850 35171 35317 36010 36216 37668 38994 38723 38981 39375 39958 39464 40061 40216 39824 40682 41632 41340 41893 41454 42224 42581 44372 43560 44959 45354 45173 46021 44923 44731 46597 44071 45190 43860 44595 44112 45170 44002 43981 44465 42478 41200 41232
 
Dataseries Y:
» Textbox « » Textfile « » CSV «
18234 18989 18315 16020 21277 25816 29747 32185 39228 37028 34974 31455 30342 31150 32564 33756 32960 34947 30217 32096 30015 29706 27064 30058 28177 27062 28541 29117 30572 32482 31412 31029 25084 29468 30462 24755 24535 19576 18101 16006 14926 12766 13440 14723 15448 11842 11492 13342 16334 22768 22397 12430 16714 23804 25533 25648 23595 21547 22757 24885 27730 33168 24939 20630 28186 25205 28906 33856
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk


Model: Y[t] = c + b X[t] + e[t]
c47794.5860953127
b-0.600759250186705


Descriptive Statistics about e[t]
# observations68
minimum-12424.7314060492
Q1-4436.55561948232
median1358.55344597175
mean8.54741114487885e-14
Q33967.44390725629
maximum12509.7092356207
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/1dlrg1257349785.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/1dlrg1257349785.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/2su221257349785.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/2su221257349785.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/3h33x1257349785.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/3h33x1257349785.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/4dks21257349785.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/4dks21257349785.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/5iu141257349785.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/5iu141257349785.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/6h97p1257349785.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/6h97p1257349785.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/7giew1257349785.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/7giew1257349785.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/818sf1257349785.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/04/t1257349892efzjcipuip5tast/818sf1257349785.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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