# LINE CHART
l Line Chart
> cars <- c(1,2,6,4,9) > plot(cars,type="o",col="blue",main="test")
> trucks <- c(2,5,4,5,12) > lines(trucks,type="o",pch=20,lty=2,col="red")
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> plot(sal,comm)
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> a <- at[at$Name=='박솔훈',c(2:41)] > a <- as.integer(a) > a [1] 8 8 8 8 0 0 0 8 7 8 8 8 7 8 8 8 8 8 7 7 7 8 8 8 8 8 8 8 8 8 8 0 8 8 8 8 8 8 0 8 > plot(a,type="o",col="blue",ann=F)
> a <- as.integer(at[at$Name=='이우람',c(2:41)]) > a [1] 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 > lines(a,type="o",lty=2,col="red")
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> install.packages("ggmap") > library(ggmap) > library(ggplot2)
> loc <- read.csv("서울지하철3호선역위경도정보.csv",header=T)
> kor <- get_map("seongbuk gu", zoom=11, maptype = "roadmap") - 구글맵의 함수를 불러온다 > kor.map <- ggmap(kor)+geom_point(data=loc, aes(x=LON, y=LAT),size=3,alpha=0.7,col="red") > kor.map
> kor.map + geom_path(data=loc,aes(x=LON,y=LAT),size=1,linetype=2,col="green")+ geom_text(data=loc, aes(x = LON, y = LAT+0.005, label=역명),size=2)
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> loc <- read.csv("서울지하철2호선위경도정보.csv",header=T) > kor.map + geom_path(data=loc,aes(x=LON,y=LAT),size=1,linetype=2,col="green")+ geom_text(data=loc, aes(x = LON, y = LAT+0.005, label=역명),size=2)
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n 그래프 겹쳐 그리기
plot(audio1) attach(mtcars) opar <- par(no.readonly = TRUE) par(mfrow = c(2, 2)) plot(wt, mpg, main = "Scatterplot of wt vs. mpg") plot(wt, disp, main = "Scatterplot of wt vs disp") hist(wt, main = "Histogram of wt") boxplot(wt, main = "Boxplot of wt") par(opar) detach(mtcars)
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audio_a <- readWave("a.wav") audio_b <- readWave("b.wav") audio_c <- readWave("c.wav") audio_d <- readWave("d.wav") audio_e <- readWave("e.wav") audio_f <- readWave("f.wav") audio_g <- readWave("g.wav") audio_h <- readWave("h.wav") audio_nor <- readWave("normal.wav") opar <- par(no.readonly = TRUE) par(mfrow = c(3, 3)) plot(audio_a) plot(audio_b) plot(audio_c) plot(audio_d) plot(audio_e) plot(audio_f) plot(audio_g) plot(audio_h) plot(audio_nor ) par(opar)
- 9번째 그래프가 심장박동 그래프인데 가장 비슷한 것이 8번째 그래프이기 떄문에 8번도 심장박동 그래프라고 할 수 있다 |
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