私はsapplyを使用してプロットを描いています。しかし、sapply を使用して描いている線ごとに異なる色を付けることができませんでした。sapply が呼び出されるたびに変数をインクリメントし、plot_colors[VARIABLE] を使用して色を変更するためにその変数 (VARIABLE) を使用する方法はありますか?
plot_colors <- c("blue","red","forestgreen","black")
sapply(unique(ab$region[ab$region]), FUN=graphplot, REG=ab, tl=z, num=num+1)
graphplot <- function(l, REG, tl, num) {
dl <- REG[REG$region == l, tl]
datel <- REG[REG$region == l, "date"]
dl <- cbind(as.numeric(rownames(REG[REG$region == l, ])), REG[REG$region == l, tl])
lines(dl, type="l", pch=2, col=plot_colors[num])
num <- num + 1
}
これが完全なコードです。
avg_data <- read.table("qes.tbl", header=T, sep=",")
avg_data
# dl <- avg_data[avg_data$region == "prod", "AveElapsedTime"]
#datel <- avg_data[avg_data$region == "prod", "date"]
#Creating the graph pdf in the below path to give as a link in the mail
FL <- 20120631
file <- paste("graph", FL, "pdf", sep=".")
plot_colors <- c("blue","red","forestgreen","black")
pdf(file, height=4.5, width=9.5, onefile=TRUE)
graphplot <- function(l, REG, tl, num) {
dl <- REG[REG$region == l, tl]
datel <- REG[REG$region == l, "date"]
dl <- cbind(as.numeric(rownames(REG[REG$region == l, ])), REG[REG$region == l, tl])
lines(dl, type="l", pch=2, col=plot_colors[num])
num <- num + 1
}
drawGraph <- function(ab, y, z, s) {
#Creating X axis
x <- ab[ab$region == "Beta", z]
y <- ab[,1]
g_range <- range(0,x[!is.na(x)])
plot(NA, type="l", col="orange", xlim= c(1, length(y)), ylim=g_range,axes=FALSE, ann=FALSE)
num=1
sapply(unique(ab$region[ab$region]), FUN=graphplot, REG=ab, tl=z, num)
box()
axis(1, at=1:length(y), lab=FALSE)
text(1:length(y), par("usr")[3] - 2, srt=45, adj=1.2, labels=y, xpd=T, cex=0.3)
scale <- s
axis(2, las=1, at=scale*0:g_range[2], cex.axis=0.3)
main_title<-as.expression(z)
#Caculationg Mean, Upper limit and lower limit using the below commands
MEANLIMIT <- seq(length=length(y), from=mean(x), by=0)
ULIMIT <- seq(length=length(y), from=mean(x) + 2.66*sum(abs(diff(x)))/length(x), by=0)
LLIMIT <- seq(length=length(y), from=mean(x) - 2.66*sum(abs(diff(x)))/length(x), by=0)
lines(MEANLIMIT, type="l", col="black")
lines(ULIMIT, type="l", pch=2, lty=2, col="grey")
lines(LLIMIT, type="l", pch=2, lty=2, col="black")
title(main=main_title, col.main="red", font.main=4)
title(xlab="Test Execution Date", col.lab=rgb(0,0.5,0))
title(ylab="Millisecond", col.lab=rgb(0,0.5,0))
legend("topright", g_range[2], main_title, cex=0.4, col=c("blue"), lty=1);
}
lab<-as.character(avg_data$date)
AET <- avg_data$AveElapsedTime
MTitle <- "AveElapsedTime"
#Creating graph for Average Elapsed time
drawGraph(avg_data, lab, MTitle, 5)
これが qes.tbl です。
date,region,AveElapsedTime
5/1/2012,preprod,23
5/2/2012,prod,76
5/3/2012,Beta,34
5/4/2012,prod,30
5/5/2012,Beta,22
5/6/2012,preprod,32
5/7/2012,Beta,21
5/8/2012,prod,44
5/9/2012,preprod,45
5/10/2012,Beta,23
5/11/2012,prod,50
5/13/2012,Beta,26
5/14/2012,preprod,33
5/15/2012,Beta,75
5/16/2012,preprod,56
5/17/2012,Beta,32
5/18/2012,preprod,67
5/19/2012,prod,40
structure(list(date = structure(c(3, 11, 12, 13, 14, 15, 16, 17, 18, 1, 2, 4, 5, 6, 7, 8, 9, 10), .Label = c("5/10/2012", "5/11/2012", "5/1/2012", "5/13/2012", "5/14/2012", "5/15/2012", "5/16/2012", "5/17/2012", "5/18/2012", "5/19/2012", "5/2/2012", "5/3/2012", "5/4/2012", "5/5/2012", "5/6/2012", "5/7/2012", "5/8/2012", "5/9/2012"), class = "factor"), region = structure(c(2, 3, 1, 3, 1, 2, 1, 3, 2, 1, 3, 1, 2, 1, 2, 1, 2, 3), .Label = c("Beta", "preprod", "prod"), class = "factor"), AveElapsedTime = c(23, 76, 34, 30, 22, 32, 21, 44, 45, 23, 50, 26, 33, 75, 56, 32, 67, 40)), .Names = c("date", "region", "AveElapsedTime"), class = "data.frame", row.names = c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18"))