EDA | ||||||||||||||||||||||||||
| *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: Wed, 22 Dec 2010 14:07:20 +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/22/t1293026730a2cs04sqel36sii.htm/, Retrieved Wed, 22 Dec 2010 15:05:38 +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/22/t1293026730a2cs04sqel36sii.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 « | ||||||||||||||||||||||||||
| 143827 145191 146832 148577 149873 151847 153252 154292 155657 156523 156416 156693 160312 160438 160882 161668 164391 168556 169738 170387 171294 172202 172651 172770 178366 180014 181067 182586 184957 186417 188599 189490 190264 191221 191110 190674 195438 196393 197172 198760 200945 203845 204613 205487 206100 206315 206291 207801 211653 211325 211893 212056 214696 217455 218884 219816 219984 219062 218550 218179 222218 222196 223393 223292 226236 228831 228745 229140 229270 229359 230006 228810 232677 232961 234629 235660 240024 243554 244368 244356 245126 246321 246797 246735 251083 251786 252732 255051 259022 261698 263891 265247 262228 263429 264305 266371 273248 275472 278146 279506 283991 286794 288703 289285 288869 286942 285833 284095 289229 289389 290793 291454 294733 293853 294056 293982 293075 292391 | ||||||||||||||||||||||||||
| Output produced by software: | ||||||||||||||||||||||||||
| ||||||||||||||||||||||||||
| Charts produced by software: | ||||||||||||||||||||||||||
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| Parameters (Session): | ||||||||||||||||||||||||||
| par1 = 0 ; par2 = 0 ; | ||||||||||||||||||||||||||
| Parameters (R input): | ||||||||||||||||||||||||||
| par1 = 0 ; par2 = 0 ; | ||||||||||||||||||||||||||
| 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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