| WS4-V2 | *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 13:37:27 -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/t1256672412anxu0bdcu8m0jyx.htm/, Retrieved Tue, 27 Oct 2009 20:40:22 +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/t1256672412anxu0bdcu8m0jyx.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 « | 12,6946864
12,70162827
12,6681701
12,66835592
12,65631033
12,65164269
12,64236113
12,62132305
12,61259053
12,62489811
12,71732618
12,72990728
12,72466404
12,68828581
12,65691575
12,65869166
12,65465471
12,64324312
12,62136596
12,60816206
12,60626722
12,61695969
12,70613556
12,72213354
12,69959747
12,6414816
12,59783091
12,58249678
12,58293936
12,559114
12,52987568
12,51563607
12,4874134
12,48101137
12,60083401
12,62345974
12,56721659
12,52970205
12,4928443
12,49557681
12,50016289
12,47809017
12,45114206
12,44176908
12,4041158
12,43217581
12,54413291
12,56114581
12,50978554
12,47256683
12,45138074
12,46988202
12,48333689
12,48480605
12,48095819
12,47828061
12,45358485
12,48454115
12,59085874
12,6139116
12,56801768 | | Dataseries Y: | » Textbox « » Textfile « » CSV « | 286602
283042
276687
277915
277128
277103
275037
270150
267140
264993
287259
291186
292300
288186
281477
282656
280190
280408
276836
275216
274352
271311
289802
290726
292300
278506
269826
265861
269034
264176
255198
253353
246057
235372
258556
260993
254663
250643
243422
247105
248541
245039
237080
237085
225554
226839
247934
248333
246969
245098
246263
255765
264319
268347
273046
273963
267430
271993
292710
295881
293299 | | Output produced by software: |
Model: Y[t] = c + b X[t] + e[t] | c | -1812607.94333369 | b | 165324.554972114 |
Descriptive Statistics about e[t] | # observations | 61 | minimum | -15896.9897896470 | Q1 | -5811.11977412898 | median | -1916.25405676522 | mean | 6.79616654392181e-13 | Q3 | 2777.40111544189 | maximum | 28105.0135060232 |
| Charts produced by software: | | http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/1svla1256672244.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/1svla1256672244.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/28huo1256672244.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/28huo1256672244.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/34e8y1256672244.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/34e8y1256672244.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/4elta1256672244.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/4elta1256672244.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/5xmjb1256672244.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/5xmjb1256672244.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/6fefu1256672244.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/6fefu1256672244.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/79oul1256672244.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/79oul1256672244.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/87qe81256672244.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/27/t1256672412anxu0bdcu8m0jyx/87qe81256672244.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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