| 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: |
Model: Y[t] = c + b X[t] + e[t] | c | -4.847062876889 | b | 0.0932541431397675 |
Descriptive Statistics about e[t] | # observations | 60 | minimum | -5.74856758350717 | Q1 | -2.00531222103000 | median | 0.0762987028149353 | mean | 6.6967554187188e-18 | Q3 | 1.80980263682098 | maximum | 7.52874840005224 |
| 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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