minitut w6 - xt2 | ||||||||||||||||||||||||||
| *The author of this computation has been verified* | ||||||||||||||||||||||||||
| R Software Module: /rwasp_edauni.wasp (opens new window with default values) | ||||||||||||||||||||||||||
| Title produced by software: Univariate Explorative Data Analysis | ||||||||||||||||||||||||||
| Date of computation: Sat, 27 Nov 2010 00:12:29 +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/Nov/27/t1290816664eygvoypprndzh03.htm/, Retrieved Sat, 27 Nov 2010 01:11:11 +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/Nov/27/t1290816664eygvoypprndzh03.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: | ||||||||||||||||||||||||||
| Dataseries X: | ||||||||||||||||||||||||||
| » Textbox « » Textfile « » CSV « | ||||||||||||||||||||||||||
| 681 608 678 739 707 684 596 729 732 386 331 703 739 651 653 628 658 724 674 631 686 392 348 784 875 659 629 679 615 716 723 641 754 729 535 922 828 710 858 775 785 1006 789 734 906 536 394 991 841 892 782 813 793 978 775 797 946 594 438 1022 868 | ||||||||||||||||||||||||||
| Output produced by software: | ||||||||||||||||||||||||||
| ||||||||||||||||||||||||||
| Charts produced by software: | ||||||||||||||||||||||||||
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| Parameters (Session): | ||||||||||||||||||||||||||
| par1 = 0 ; par2 = 1 ; | ||||||||||||||||||||||||||
| Parameters (R input): | ||||||||||||||||||||||||||
| par1 = 0 ; par2 = 1 ; | ||||||||||||||||||||||||||
| R code (references can be found in the software module): | ||||||||||||||||||||||||||
| par1 <- as.numeric(par1)
par2 <- as.numeric(par2) x <- as.ts(x) library(lattice) bitmap(file='pic1.png') plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value') grid() dev.off() bitmap(file='pic2.png') hist(x) grid() dev.off() bitmap(file='pic3.png') if (par1 > 0) { densityplot(~x,col='black',main=paste('Density Plot bw = ',par1),bw=par1) } else { densityplot(~x,col='black',main='Density Plot') } dev.off() bitmap(file='pic4.png') qqnorm(x) qqline(x) grid() dev.off() if (par2 > 0) { bitmap(file='lagplot1.png') dum <- cbind(lag(x,k=1),x) dum dum1 <- dum[2:length(x),] dum1 z <- as.data.frame(dum1) z plot(z,main='Lag plot (k=1), lowess, and regression line') lines(lowess(z)) abline(lm(z)) dev.off() if (par2 > 1) { bitmap(file='lagplotpar2.png') dum <- cbind(lag(x,k=par2),x) dum dum1 <- dum[(par2+1):length(x),] dum1 z <- as.data.frame(dum1) z mylagtitle <- 'Lag plot (k=' mylagtitle <- paste(mylagtitle,par2,sep='') mylagtitle <- paste(mylagtitle,'), and lowess',sep='') plot(z,main=mylagtitle) lines(lowess(z)) dev.off() } bitmap(file='pic5.png') acf(x,lag.max=par2,main='Autocorrelation Function') grid() dev.off() } summary(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Descriptive Statistics',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'# observations',header=TRUE) a<-table.element(a,length(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'minimum',header=TRUE) a<-table.element(a,min(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Q1',header=TRUE) a<-table.element(a,quantile(x,0.25)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'median',header=TRUE) a<-table.element(a,median(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,mean(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Q3',header=TRUE) a<-table.element(a,quantile(x,0.75)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'maximum',header=TRUE) a<-table.element(a,max(x)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab') | ||||||||||||||||||||||||||
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