| *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, 11 Nov 2009 05:49:51 -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/Nov/11/t1257943856iaqtfiqf9ch0hxp.htm/, Retrieved Wed, 11 Nov 2009 13:51:04 +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/Nov/11/t1257943856iaqtfiqf9ch0hxp.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 « | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| -20,286 -19,188 -12,489 12,524 -17,320 -18,183 -26,199 -7,417 -6,292 -6,022 -1,695 -0,368 -28,388 -18,524 -12,536 -11,631 -12,291 -8,682 -14,691 -17,360 -21,873 -14,531 -8,445 -1,836 10,500 17,897 18,312 44,853 82,821 57,647 44,737 44,705 64,243 39,752 46,444 67,940 51,209 57,739 74,377 56,231 48,788 42,781 28,965 41,528 27,437 47,397 54,387 56,079 75,792 127,288 184,410 127,691 116,945 118,555 149,008 150,618 80,590 77,625 70,009 79,853 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Dataseries Y: | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| » Textbox « » Textfile « » CSV « | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| -3,309 -7,848 -7,623 -0,690 -9,257 -7,994 -8,821 -9,128 -5,279 -2,897 -0,449 4,715 -1,789 -3,053 -0,316 -1,543 -1,068 -4,514 -0,368 -1,128 0,954 7,215 5,900 15,042 22,324 31,118 30,150 35,339 53,021 44,876 44,384 47,714 43,508 38,197 40,919 48,959 46,581 51,247 54,084 50,990 53,913 51,607 49,107 52,365 53,633 69,907 81,149 80,530 95,690 113,137 131,453 107,299 98,210 106,509 119,869 113,953 92,043 107,453 73,727 86,374 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Output produced by software: | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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') | Copyright
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