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Now after Reporting Good Enough to Share, let’s use ggplot2 and PerformanceAnalytics to turn this
into this
From TimelyPortfolio |
I have been notified that the colors aren’t great. How does everyone like this?
require(quantmod) require(ggplot2) require(PerformanceAnalytics) clientPerf <- read.csv("clientperf.csv",stringsAsFactors=FALSE) clientPerf[,2:NCOL(clientPerf)] <- lapply(clientPerf[,2:NCOL(clientPerf)],as.numeric) clientPerf <- as.xts(clientPerf[,2:NCOL(clientPerf)]/100, order.by = as.Date(clientPerf[,1],format="%m-%d-%y")) colnames(clientPerf) <- c("Client","BarclaysAgg","SP500") returns.cumul <- xts(apply((1+clientPerf),MARGIN=2,FUN=cumprod),order.by=index(clientPerf)) returns.cumul.Melt <- melt(as.data.frame(cbind(index(returns.cumul), coredata(returns.cumul))),id.vars=1) colnames(returns.cumul.Melt) <- c("Date","Portfolio","Growth") a<-ggplot(returns.cumul.Melt,stat="identity", aes(x=Date,y=Growth,colour=Portfolio)) + geom_line(lwd=1) + scale_x_date() + scale_colour_manual(values=c("cadetblue","darkolivegreen3","gray70","bisque3","purple")) + theme_bw() + labs(x = "", y = "") + opts(title = "Cumulative Returns",plot.title = theme_text(size = 20, hjust = 0)) returnTable <- table.TrailingPeriods(clientPerf, periods=c(12,24,36,NROW(clientPerf)), FUNCS="Return.annualized") rownames(returnTable) <- c(paste(c(1:3)," Year",sep=""),"Since Inception") returnMelt <- melt(cbind(rownames(returnTable),returnTable*100)) colnames(returnMelt)<-c("Period","Portfolio","Value") b<-ggplot(returnMelt, stat="identity", aes(x=Period,y=Value,fill=Portfolio)) + geom_bar(position="dodge") + scale_fill_manual(values=c("cadetblue","darkolivegreen3","gray70")) + theme_bw() + labs(x = "", y = "") + opts(title = "Returns (annualized)",plot.title = theme_text(size = 20, hjust = 0)) downsideTable<-table.DownsideRisk(clientPerf)[c(1,3,5,7,8),] downsideMelt<-melt(cbind(rownames(downsideTable), downsideTable)) colnames(downsideMelt)<-c("Statistic","Portfolio","Value") c<-ggplot(downsideMelt, stat="identity", aes(x=Statistic,y=Value,fill=Portfolio)) + geom_bar(position="dodge") + coord_flip() + scale_fill_manual(values=c("cadetblue","darkolivegreen3","gray70")) + theme_bw() + labs(x = "", y = "") + opts(title = "Risk Measures",plot.title = theme_text(size = 20, hjust = 0)) #geom_hline(aes(y = 0)) #opts(axis.line = theme_segment(colour = "red")) #opts(panel.grid.major = theme_line(linetype = "dotted")) #jpeg(filename="performance ggplot.jpg",quality=100,width=6.5, height = 8, units="in",res=96) #pdf("perf ggplot.pdf", width = 8.5, height = 11) grid.newpage() pushViewport(viewport(layout = grid.layout(3, 1))) vplayout <- function(x, y) viewport(layout.pos.row = x, layout.pos.col = y) print(a, vp = vplayout(1, 1)) print(b, vp = vplayout(2, 1)) print(c, vp = vplayout(3, 1)) #dev.off()
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