| Workshop 4, part 2,3 | *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 13:40:04 -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/t1256758882l3o2rqtcilhml34.htm/, Retrieved Wed, 28 Oct 2009 20:41:24 +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/t1256758882l3o2rqtcilhml34.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 « | 474,552
512
531,441
551,368
571,787
551,368
512
493,039
438,976
438,976
571,787
592,704
592,704
592,704
592,704
636,056
704,969
681,472
571,787
421,875
373,248
405,224
681,472
804,357
804,357
658,503
551,368
571,787
614,125
636,056
614,125
551,368
531,441
493,039
636,056
658,503
658,503
614,125
592,704
614,125
658,503
658,503
636,056
614,125
571,787
512
551,368
531,441
531,441
512
493,039
493,039
512
512
493,039
512
456,533
373,248
421,875
389,017
343
343
343
373,248
389,017
357,911
314,432
262,144
226,981
274,625
456,533
493,039
421,875
328,509
287,496
328,509
456,533
512
| | Dataseries Y: | » Textbox « » Textfile « » CSV « | 1865409,391
2548895,896
1408694,561
860085,351
893056,347
1180932,193
1552836,312
1180932,193
1180932,193
1371330,631
559476,224
216000
1235376,017
979146,657
1462135,375
1291467,969
1006012,008
1121622,319
2668267,603
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2936493,568
356400,829
618470,208
2352637
2548895,896
1638858,339
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3268147,904
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517781,627
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2755776,808
1006012,008
1986121,593
1710777,536
2444008,923
1295029
1573037,747
3170044,709
924010,424
714516,984
2305199,161
2732256,792
2146689
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1811386,459
1802485,313
1865409,391
2279122,496
1697936,057
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616295,051
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| | Output produced by software: |
Model: Y[t] = c + b X[t] + e[t] | c | 2068834.49919048 | b | -879.269630482645 |
Descriptive Statistics about e[t] | # observations | 78 | minimum | -1340336.12797734 | Q1 | -625357.861759494 | median | -129648.079173832 | mean | -2.84887555141886e-11 | Q3 | 528175.120819009 | maximum | 1771809.48089579 |
| Charts produced by software: | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/17ram1256758797.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/17ram1256758797.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/2r13i1256758797.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/2r13i1256758797.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/3w5331256758797.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/3w5331256758797.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/4o31u1256758797.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/4o31u1256758797.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/5i3ay1256758797.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/5i3ay1256758797.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/6ekdn1256758797.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/6ekdn1256758797.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/7680v1256758797.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/7680v1256758797.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/8aca51256758797.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256758882l3o2rqtcilhml34/8aca51256758797.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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