legend.title=element_blank(), plot.margin = unit(c(2, 2, 2, 2), "cm"), panel.border = element_rect(color = "black", size = 0), axis.line.x = element_line(color = "gray21", size = 0.3), # 控制坐标轴 X 轴方向的边框 axis.line.y = element_line(color = "gray21", size...
library(ggplot2)# Base Plot 基础绘图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(title="Area Vs Population",y="Population",x="Area",caption="Source: midwest")library...
# Remove grid;Remove Top and right border around the plot ggplot2.stripchart(data=df,xName='dose',yName='len',groupName='dose',groupColors=c('#999999','#E69F00','#56B4E9'),showLegend=FALSE,backgroundColor="white",xtitle="Dose (mg)",ytitle="length",mainTitle="Plot of length \...
(5, "pt"), panel.border = element_blank(), axis.ticks.x = element_blank(), axis.ticks.y = element_blank(), text = element_text(face='bold'), axis.text.x = element_text(angle=45,vjust=1, hjust=1)) ggplot(data,aes(x=Index, y=tax)) + geom_tile(aes(fill=r), alpha = ...
theme(panel.border = element_blank(), axis.ticks = element_blank(), legend.position=c(0.9, 0.65), legend.text=element_text(size=11), legend.title=element_text(size=11.5), panel.grid.major.x = element_blank() , plot.title = element_text(size=11, face = "bold"), axis.title=element...
theme(panel.border = element_rect(colour = "black", fill=NA), panel.background = element_blank(), panel.grid.major = element_blank(), panel.grid.minor = element_blank(), plot.margin = margin(20, 40, 10, 10)) + scale_x_continuous(labels = label_number(accuracy = 1)) + ...
aes(x=x,y=y2,color='Expected'))+labs(x="X",y="Y")+theme_new()# Convert the plot to...
Example: Draw Panel Border to ggplot2 Plot Using theme() Function & panel.border Argument This example illustrates how to show a panel box around our ggplot2 plot. For this, we can use the theme function and the panel.border argument as shown below: ...
color,size,linetype: Border line color, size and type fill: box plot areas fill color outlier.colour,outlier.shape,outlier.size: The color, the shape and the size for outlying points. Data preparation Demo dataset:ToothGrowth Continuous variable:len(tooth length). Used on y-axis ...
Remove Top and right border around the plot; # different colors per group ggplot2.lineplot(data=df1, xName="time", yName='total_bill', groupName="sex",size=2, addPoint=TRUE, pointSize=4, backgroundColor="white", groupColors=c('#999999','#E69F00'), xtitle="Time of day", ytitl...