| | | *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, 28 Oct 2009 10:36:22 -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/28/t1256748025py3sb2e53hifsow.htm/, Retrieved Wed, 28 Oct 2009 17:40:34 +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/Oct/28/t1256748025py3sb2e53hifsow.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 « | | 11,02388
10,96971
10,90821
10,88734
10,85561
10,83008
10,8006
10,76026
10,72027
10,70003
10,91258
10,96597
10,98648
10,93797
10,87497
10,85325
10,80866
10,79886
10,75624
10,74195
10,71885
10,70259
10,88029
10,91538
10,94449
10,85605
10,77875
10,73082
10,74484
10,70237
10,63542
10,61676
10,54786
10,47619
10,70043
10,74192
10,72788
10,67764
10,6008
10,61221
10,61128
10,58337
10,51149
10,50873
10,39837
10,40144
10,62318
10,65145
10,67394
10,62415
10,60592
10,64604
10,68513
10,69435
10,70773
10,70338
10,63535
10,65655
10,83281
10,87535
| | | | Dataseries Y: | | » Textbox « » Textfile « » CSV « | | 12,56585
12,55335
12,53064
12,53507
12,53223
12,53214
12,52466
12,50673
12,49553
12,48746
12,56814
12,58172
12,58554
12,57136
12,54781
12,55199
12,54322
12,544
12,53118
12,52531
12,52217
12,51102
12,57695
12,58014
12,58554
12,53719
12,50553
12,49073
12,50259
12,48437
12,44979
12,44254
12,41332
12,36892
12,46287
12,47225
12,4477
12,43178
12,40255
12,41757
12,42336
12,40917
12,37615
12,37617
12,32631
12,332
12,42092
12,42253
12,41702
12,40941
12,41416
12,45201
12,48491
12,50004
12,5174
12,52075
12,49661
12,51353
12,58694
12,59771
| | | | Output produced by software: |
| Model: Y[t] = c + b X[t] + e[t] | | c | 7.73154568041087 | | b | 0.443336222633158 |
| Descriptive Statistics about e[t] | | # observations | 60 | | minimum | -0.0529809983720555 | | Q1 | -0.0158175193542130 | | median | -0.00106005760939843 | | mean | -3.45024753848252e-19 | | Q3 | 0.0132173647569706 | | maximum | 0.0575496962877511 |
| | | Charts produced by software: |  | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/133ni1256747774.png (open in new window) | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/133ni1256747774.ps (open in new window) |
 | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/2fkw41256747774.png (open in new window) | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/2fkw41256747774.ps (open in new window) |
 | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/3opvh1256747774.png (open in new window) | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/3opvh1256747774.ps (open in new window) |
 | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/45gm71256747774.png (open in new window) | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/45gm71256747774.ps (open in new window) |
 | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/51dzf1256747774.png (open in new window) | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/51dzf1256747774.ps (open in new window) |
 | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/65nlp1256747774.png (open in new window) | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/65nlp1256747774.ps (open in new window) |
 | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/7vr3z1256747774.png (open in new window) | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/7vr3z1256747774.ps (open in new window) |
 | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/8401j1256747775.png (open in new window) | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256748025py3sb2e53hifsow/8401j1256747775.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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