在ggplot中使用aes有两种方法:隐式映射和显式映射。 1. 隐式映射:在隐式映射中,可以直接在绘图函数中使用aes函数来映射数据变量到可视化属性。例如,在ggplot函数中使用aes函数来映射...
library(ggplot2) # 导入数据集 data <- read.csv("data.csv") # 创建基础图层 p <- ggplot(data, aes(x = variable1, y = variable2)) # 添加几何对象 p <- p + geom_point() # 设置图形属性 p <- p + aes(color = variable3) # 添加标签和标题 p <- p + labs(x = "Variable 1"...
p<-ggplot(data_lm,aes(x=variable,y=ID))+xlab("samples")+ylab(NULL)+theme_bw()+theme(panel.grid.major=element_blank())+theme(legend.key=element_blank())+theme(legend.position="top")+theme(axis.text.x=element_text(angle=45,hjust=1,vjust=1))+geom_tile(aes(fill=value))+scale_fill...
p <- ggplot(data_s_m,aes(x=variable,y=ID)) + xlab("samples") + ylab(NULL) +theme_bw() + theme(panel.grid.major = element_blank()) + theme(axis.text.x = element_text(angle=45,hjust = 1,vjust=1)) + geom_tile(aes(fill=value)) +scale_fill_gradient(low="pink",high="blue...
例如,正确的语法是ggplot(data = your_data, aes(x = variable1, y = variable2))。ggplot2版本问题:请确保您的ggplot2包是最新版本。可以使用install.packages("ggplot2")命令来更新ggplot2包。然后尝试重新加载包并运行代码。其他包冲突:可能是由于其他加载的包与ggplot2发生冲突,导致aes函数无法...
geom_errorbar(data=df2,aes(x=variable, ymin=mean_value-sd_value, ymax=mean_value+sd_value), width=0.1)+ geom_jitter(data=df1,aes(x=variable,y=value), width = 0.2,color="grey")+ #scale_y_continuous(expand = c(0,0))+ theme_bw()+ ...
library(aplot)library(ggplot2)df<-read.csv("example_data/ggplot2_heatmap.csv",header=T)df1<-reshape2::melt(df)df1$value1<-ifelse(is.na(df1$value),0,df1$value)df1$value1<-as.factor(df1$value1)df1$A<-factor(df1$A,levels =rev(df$A))p1<-ggplot(df1,aes(x=variable,y=A))+geom...
p2<-ggplot()+geom_col(data=df2,aes(x=variable,y=mean_value),fill="#ffc080",color="black",width=0.2)+geom_errorbar(data=df2,aes(x=variable,ymin=mean_value-sd_value,ymax=mean_value+sd_value),width=0.1)+geom_jitter(data=df1,aes(x=variable,y=value),width=0.2,color="grey")+scale...
p1<-ggplot(df1,aes(x=variable,y=A))+ geom_tile(aes(fill=value1),color="black")+ scale_fill_manual(values = c("white","orangered","red2","red4"))+ scale_x_discrete(position = "top")+ theme(panel.background = element_blank(), ...
ggplot(chic, aes(x = date, y = temp)) + geom_point(color = "orangered", alpha = .3)...