Paper | ||||||||||||||||||||||||||||||||
| *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: Sun, 26 Dec 2010 09:33:15 +0000 | ||||||||||||||||||||||||||||||||
| Cite this page as follows: | ||||||||||||||||||||||||||||||||
| Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Dec/26/t12933559510mvc6r4tlwg65fw.htm/, Retrieved Sun, 26 Dec 2010 10:32:39 +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/2010/Dec/26/t12933559510mvc6r4tlwg65fw.htm/},
year = {2010},
}
@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 = {2010},
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: | ||||||||||||||||||||||||||||||||
| Regressierechte | ||||||||||||||||||||||||||||||||
| Dataseries X: | ||||||||||||||||||||||||||||||||
| » Textbox « » Textfile « » CSV « | ||||||||||||||||||||||||||||||||
| 268606 276444 289742 303725 298305 266795 259497 266148 271037 276239 279681 277509 271115 275902 287224 300713 293860 264221 256167 262572 263276 264291 263903 260376 255603 261076 270976 285257 280445 250741 243803 253158 255542 262522 268381 267153 266424 276427 286994 303598 296806 263290 264981 272566 276475 284678 291542 291413 295916 309119 327616 335083 329765 301631 298423 298989 302963 309664 313218 314485 313927 | ||||||||||||||||||||||||||||||||
| Dataseries Y: | ||||||||||||||||||||||||||||||||
| » Textbox « » Textfile « » CSV « | ||||||||||||||||||||||||||||||||
| 43237 47637 55718 53091 47034 26149 27356 35438 39086 41761 42622 44051 43565 47534 54807 52653 46562 25565 26450 34689 37310 37886 38124 38692 38444 42169 48621 47913 43528 22487 23558 30953 32986 36055 37676 38433 39215 45390 51579 51588 46390 23099 23988 33335 35907 39032 41248 40744 46211 53145 61271 58672 51349 24935 26599 35324 38546 42065 44148 54424 58397 | ||||||||||||||||||||||||||||||||
| Output produced by software: | ||||||||||||||||||||||||||||||||
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| Charts produced by software: | ||||||||||||||||||||||||||||||||
| ||||||||||||||||||||||||||||||||
| 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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