R2-31-第10期-综合作业

小伊伊 2018-01-09 17:22:07 阅读: 1199

task1:

df2 <- data.frame(supp=rep(c("VC", "OJ"), each=3),
                  
                  dose=rep(c("D0.5", "D1", "D2"),2),
                  
                  len=c(6.8, 15, 33, 4.2, 10, 29.5))

head(df2)

p<-ggplot(df2, aes(x=dose, y=len, group=supp)) +
  
  geom_line(aes(color=supp))+
  
  geom_point(aes(color=supp))+ggtitle("R2-31")

p+scale_color_grey()+theme_classic()

task2:
  
  options(scipen=999)

library(ggplot2)

theme_set(theme_bw())

data("midwest", package = "ggplot2")

gg <- ggplot(midwest, aes(x=area, y=poptotal)) + 
  
  geom_point(aes(col=state, size=popdensity)) + 
  
  geom_smooth(method="loess", se=F) + 
  
  xlim(c(0, 0.1)) + 
  
  ylim(c(0, 500000)) + 
  
  labs(subtitle="Area Vs Population", 
       
       y="Population", 
       
       x="Area", 
       
       title="R2-31", 
       
       caption = "Source: midwest")

plot(gg)

task3:

install.packages("RColorBrewer")

library(RColorBrewer)

nba <- read.csv(file.choose())

nba <- nba[order(nba$PTS),]

row.names(nba) <- nba$Name

nba <- nba[,2:20]

nba_matrix <- data.matrix(nba)

nba_heatmap <- heatmap(nba_matrix, Rowv=NA, Colv=NA, col = brewer.pal(9, "Blues"),
                       scale="column", margins=c(5,10), main="R2-31")