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844 ... $ Price: num 46.5 43.5 45.5 46.5 53.8 ... # 5 number summary of price summary(p$ Price) Min. 1st Qu. Median Mean 3rd Qu. Max. 0.6819 38.0900 62.0500 71.7400 91.6000 2911.0000 # convert p$ Price into time series pts<-ts(p$ Price, frequency = 365, start = c(2009, 201)) # examine time series object str(pts) Time-Series from 2010 to 2013: 46.5 43.5 45.5 46.5 53.8 ... # load SVG device library("RSVGTipsDevice") # define name and size of SVG graphic to be created by SVG device devSVGTips(file="ws-el-price-2009-2012red.svg",toolTipMode=0,width=8,height=6) # plot commands plot(pts,ylim=c(0,200),axes="FALSE",type="l",col="darkgrey",cex.main=1.6, main="New
Zealand wholesale electricity prices 2009 - 2012",las=1,xlab="Date",ylab="$ NZ/MWh") axis(side=1, las=1,line =0 ,at=c(2009.5,2010.0,2010.5,2011.0,2011.5,2012.0,2012.5), labels=c("June 2009","Jan 2010","June 2010","Jan 2011","June 2011","Jan 2012","June 2012")) axis(side=2, las=2) grid() lines(lowess(pts,f = 14/1152),type="l",col=2,lty=1,lwd=3) legend("top",bty='n',bg="white", c("price demand weighted daily average","", "price lowess smoothed f = 14 days"), lty = c(1,NA,1),lwd=c(1,NA,2), pch=c(NA,NA,NA),col = c(1,NA,2)) box(lwd=2) # turn off plotting device (SVG) dev.off()
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p <- read.csv("demandweighteddailyaverageprice2012.csv", skip = 0,header=TRUE, sep=",", na.strings="na", dec=".", strip.white=TRUE) #examine data str(p) 'data.frame': 1152 obs. of 2 variables: $ Date : Factor w/ 1152 levels "10/01/2010","10/01/2011",..: 501 545 583 621 659 697 735 773 809
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