R2-24 综合作业

fenglashoubuli 2018-01-10 07:53:30 阅读: 1397

Task1

library(ggplot2)

df2 <- data.frame(supp=rep(c("VC", "OJ"), each=3),

                  D=rep(c("D0.5", "D1", "D2"),2),

                  L=c(6.8, 15, 33, 4.2, 10, 29.5))

head(df2)

p<-ggplot(df2, aes(x=D, y=L, group=supp)) +

  geom_line(aes(color=supp))+

  geom_point(aes(color=supp))+ggtitle("R2-24")

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="R2-24", 

       caption = "Source: midwest")

plot(gg)

setwd("D:/R-LMT/10/10")
library(reshape2)
library(ggplot2)
library(plyr)
library(scales)
data_heatmap<- read.csv("task3.csv")
data_m <- melt(data_heatmap, id.vars=c("Name"))
data_m <- ddply(data_m, .(variable), transform, label = rescale(value))
ggplot(data_m, aes(x=variable,y=Name)) + 
  geom_tile(aes(fill=label)) + 
  scale_fill_gradient(low = "yellow", high = "red") +
  xlab("Type") + theme_bw() + ggtitle("R2-24")