| *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: Tue, 10 Nov 2009 10:32:41 -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/10/t1257874489hplzyfmva2l3fw4.htm/, Retrieved Tue, 10 Nov 2009 18:34:51 +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/10/t1257874489hplzyfmva2l3fw4.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 « | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 492865 480961 461935 456608 441977 439148 488180 520564 501492 485025 464196 460170 467037 460070 447988 442867 436087 431328 484015 509673 512927 502831 470984 471067 476049 474605 470439 461251 454724 455626 516847 525192 522975 518585 509239 512238 519164 517009 509933 509127 500857 506971 569323 579714 577992 565464 547344 554788 562325 560854 555332 543599 536662 542722 593530 610763 612613 611324 594167 595454 590865 589379 584428 573100 567456 569028 620735 628884 628232 612117 595404 597141 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Dataseries Y: | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| » Textbox « » Textfile « » CSV « | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 31899 31384 30650 30400 30003 29896 31557 31883 30830 30354 29756 29934 30599 30378 29925 29471 29567 29419 30796 31475 31708 31917 30871 31512 32362 31928 31699 30363 30386 30364 32806 33423 33071 33888 34805 35489 37259 37722 38764 39594 40004 40715 44028 45564 44277 44976 45406 47379 49200 50221 51573 53091 53337 54978 57885 67099 67169 69796 70600 71982 73957 75273 76322 77078 77954 79238 82179 83834 83744 84861 86478 88290 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Output produced by software: | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Charts produced by software: |
| Parameters (Session): | par1 = red ; par2 = blue ; par3 = TRUE ; par4 = iptot ; par5 = ipkl ; | | Parameters (R input): | par1 = 0 ; par2 = 36 ; par3 = TRUE ; par4 = iptot ; par5 = ipkl ; | | 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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