ggplot2折线图组合可视化

设置路径和数据读取

setwd("C:\Users\Administrator\Desktop\R_visualization")
library(ggplot2)
df<-read.csv("MappingAnalysis_Data.csv", header = TRUE)

数据和路径脚本资料百度云的链接为：
链接：https://pan.baidu.com/s/1Dr0YweHG_zbxL8mPStTwSg
提取码：ww18

数据描述如下：

绘制形状

ggplot(data=df, aes(x=Time,y=value,group=variable)) + 
  geom_line()+
  geom_point(shape=21,size=4,colour="black",fill="white") +
  theme_classic()+
  theme(
    text=element_text(size=14,color="black"),
    plot.title=element_text(size=14,family="myfont",face="bold.italic",hjust=.5,color="black"),
    legend.background = element_blank(),
    legend.position=c(0.2,0.8)
  )

改变颜色

ggplot(data=df, aes(x=Time,y=value,fill=variable)) + 
  geom_line()+
  geom_point(shape=21,size=4,colour="black") +
  scale_fill_manual(values=c("grey60","grey30","black","white"))+
  theme_classic()+
  theme(
    text=element_text(size=14,color="black"),
    plot.title=element_text(size=14,family="myfont",face="bold.italic",hjust=.5,color="black"),
    legend.background = element_blank(),
    legend.position=c(0.2,0.8)
  )

改变形状

ggplot(data=df, aes(x=Time,y=value,shape=variable)) + 
  geom_line()+
  geom_point(size=4,colour="black",fill="grey60") +
  scale_shape_manual(values=c(21,22,23,24))+
  theme_classic()+
  theme(
    text=element_text(size=14,color="black"),
    plot.title=element_text(size=14,family="myfont",face="bold.italic",hjust=.5,color="black"),
    legend.background = element_blank(),
    legend.position=c(0.2,0.8)
  )

再改变颜色

ggplot(data=df, aes(x=Time,y=value,fill=variable)) + 
  geom_line()+
  geom_point(shape=21,size=4,colour="black") +
  scale_fill_manual(values=c("#FF9641","#FF5B4E","#B887C3","#38C25D"))+
  theme_classic()+
  theme(
    text=element_text(size=14,color="black"),
    plot.title=element_text(size=14,family="myfont",face="bold.italic",hjust=.5,color="black"),
    legend.background = element_blank(),
    legend.position=c(0.2,0.8)
  )

改变颜色和形状

ggplot(data=df, aes(x=Time,y=value,fill=variable,shape=variable)) + 
  geom_line()+
  geom_point(size=4,colour="black") +
  scale_fill_manual(values=c("grey60","grey30","black","white"))+
  scale_shape_manual(values=c(21,22,23,24))+
  theme_classic()+
  theme(
    text=element_text(size=14,color="black"),
    plot.title=element_text(size=14,family="myfont",face="bold.italic",hjust=.5,color="black"),
    legend.background = element_blank(),
    legend.position=c(0.2,0.8)
  )

改变颜色和形状

ggplot(data=df, aes(x=Time,y=value,fill=variable,shape=variable)) + 
  geom_line()+
  geom_point(size=4,colour="black") +
  scale_fill_manual(values=c("#FF9641","#FF5B4E","#B887C3","#38C25D"))+
  scale_shape_manual(values=c(21,22,23,24))+
  theme_classic()+
  theme(
    text=element_text(size=14,color="black"),
    plot.title=element_text(size=14,family="myfont",face="bold.italic",hjust=.5,color="black"),
    legend.background = element_blank(),
    legend.position=c(0.2,0.8)
  )

参考资料1：https://github.com/EasyChart/Beautiful-Visualization-with-R/

参考资料2：https://blog.csdn.net/tandelin/article/details/87719623

最后

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