| *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, 15 Dec 2010 21:04:56 +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/15/t12924471822wkt45q5wt3pqay.htm/, Retrieved Wed, 15 Dec 2010 22:06:24 +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/15/t12924471822wkt45q5wt3pqay.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 « | ||||||||||||||||||||||||||
| 160984 147727 165384 151202 135237 143684 150327 164909 154582 162221 165019 169673 150297 146944 156522 148536 126854 99485 135265 157406 153170 147381 136753 158421 173332 121795 123438 103478 115420 120867 120728 155286 172705 156418 148870 171422 173574 134051 123753 117862 94628 133387 147477 165077 150981 167026 169155 160271 170293 151312 160860 137556 106249 108464 121223 169114 155352 159722 166638 165920 212488 161262 168545 150959 114509 128341 180244 159268 149027 173723 166053 162952 151625 126219 152071 171245 144467 137722 198451 203411 174618 192387 171786 167966 181481 141108 164991 122032 144562 163153 183695 201470 166062 203959 194742 165450 190427 147520 166109 164804 176121 149173 170451 175412 166340 209292 176079 165432 193754 139788 158378 157995 165045 113321 162527 168683 164104 177656 150257 177723 185473 142068 130617 161522 195235 151377 177385 172286 15 etc... | ||||||||||||||||||||||||||
| Output produced by software: | ||||||||||||||||||||||||||
| ||||||||||||||||||||||||||
| Charts produced by software: | ||||||||||||||||||||||||||
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| 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) 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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