Differences

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--- r:baseball_data [2017/06/05 08:23] – hkimscil
+++ r:baseball_data [2017/06/05 09:14] – hkimscil
@@ Line 4: / Line 4: @@
 setwd("c:\\r_temp")
+data <- read.csv("baseball_performance.csv", header=T)
-data <- read.csv("야구성적.csv", header=T)
 head(data,25)
-bp <- barplot(data$연봉대비출루율, main=paste("야구 선수별 연봉 대비 출루율 분석","\n",
+data$forward_rate <- (data$출루율/data$연봉)*100
-      "(밥값여부계산 ^^;;)"), col=rainbow(25) ,
-       cex.names=0.7, las=2, names.arg=data$선수명, ylim=c(0,50))
+bp <- barplot(data$forward_rate,
+      main=paste("연봉대비 출루율"),
+      col=rainbow(25),
+      cex.names=0.7, las=2,
+      names.arg=data$선수명,
+      ylim=c(0,50))
 title(ylab="연봉대비출루율", col.lab="red")
 aver <- 0
-for(i in 1:length(data$연봉대비출루율))
+for(i in 1:length(data$forward_rate))
-   {
+   { aver <- aver+data$forward_rate[i] }
-     aver <- aver+data$연봉대비출루율[i]
-   }
-aver
 aver <- aver/length(data$연봉대비출루율)
 aver
 abline(h=aver, col="blue")
@@ Line 27: / Line 27: @@
 text(x=bp*1.01, y=data$연봉대비출루율*1.05, col="black", cex=0.7,
    labels=paste(data$연봉대비출루율,'%'))
-savePlot("baseball_bar.png",type="png")
-# 나이팅게일 챠트로 표현하기
+dev.copy(png,filename="barplot.png")
+dev.off()
+</code>
+{{:r:out_rate.png}}
+나이팅게일 챠트
+<code>
 data <- read.csv("주요선수별성적-2013년.csv", header=T)
 data
@@ Line 37: / Line 44: @@
 stars(data2,flip.labels=FALSE, draw.segment=TRUE, frame.plot=TRUE, full=TRUE,
      main=" 야구 선수별 주요 성적 분석-2013년 ")
+dev.copy(png, filename="baseball_ny.png")
+dev.off()
-savePlot("baseball_ny.png",type="png")
 label <- names(data2)
@@ Line 44: / Line 52: @@
 color <- c("black","red","green","blue","cyan","violet","yellow","grey")
 pie(val,labels=label,col=color, radius=0.1, cex=0.6) # 범례용 그래프 만들기
-savePlot("baseball_regend.png",type="png")
+dev.copy(png, filename="baseball_regend.png")
+dev.off()
+</code>
+{{:r:baseball_ny.png}}
+{{:r:baseball_regend.png}}
+<code>
 #연봉대비 출루율과 연봉대비 타점율 표현하기
@@ Line 62: / Line 76: @@
 par(new=T)
-plot(line2,type="o",axes=F, ylab="",xlab="",ylim=c(0,50),lty=2,col="red")
+plot(line2,type="o",axes=F, ylab="",xlab="",ylim=c(0,50),lty=2,col="red",lwd=2)
 axis(4,las=1)
 mtext(side=4,line=2.5,"연봉대비 타점율")
@@ Line 71: / Line 85: @@
 legend(18,50,names(data[21:22]),cex=0.8,col=c("red","blue"),lty=1,lwd=2,bg="white")
-savePlot("baseball_4.png",type="png")
+</code>
+{{:r:baseball_4.png}}
-</code>