ggplot(data=df)+geom_line(aes(x=x,y=y1,color="Line 1"))+geom_line(aes(x=x,y=y2,color="Line 2"))+labs(title="Multiple Line Plots",x="X",y="Y")+scale_color_manual(values=c("Line 1"="red","Line 2"="blue"))
(title = "Multiple Line Plots", x = "X Axis", y = "Y Axis") + scale_color_manual(values = c("Group 1" = "red", "Group 2" = "blue")) # 显示图表 print(p) # 或者保存图表为文件 # ggsave(filename = "multiple_line_plots.png", plot = p, width = 8, height = 6, dpi ...
四、多重图形的绘制(Multiple Plots) 多重图形的绘制依旧使用图层的叠加来实现,不过后绘制的图层将位于图形的上方 1. 折线图(line)与面积图(area)的组合 > p <- ggplot(economics,aes(x=date,y=unemploy)) # 指定面积透明度为0.2 > p + geom_line(color='green') + geom_area(color='green',alpha=0.2...
g + facet_wrap( ~ class, nrow=3) + labs(title="hwy vs displ", caption = "Source: mpg", subtitle="Ggplot2 - Faceting - Multiple plots in one figure") # Shared scales # Facet wrap with free scales g + facet_wrap( ~ class, scales = "free") + labs(title="hwy vs displ", cap...
(iin1:numPlots){# Get i,j matrix positions of the regions containing this subplotmatchidx=as.data.frame(which(layout==i,arr.ind=TRUE))print(plots[[i]],vp=viewport(layout.pos.row=matchidx$row,layout.pos.col=matchidx$col))}}}library(ggplot2)p1<-ggplot(iris,aes(x=Sepal.Length))+...
(iin1:numPlots){# Get i,j matrix positions of the regions containing this subplotmatchidx=as.data.frame(which(layout==i,arr.ind=TRUE))print(plots[[i]],vp=viewport(layout.pos.row=matchidx$row,layout.pos.col=matchidx$col))}}}library(ggplot2)p1<-ggplot(iris,aes(x=Sepal.Length))+...
Example 1: Change Size of Plots in Base R Grid Layout In Example 1, I’ll explain how to create a grid of plots with different sizes using the basic installation of the R programming language. We can specify a grid of multiple graphics with the same size side-by-side using thepar func...
library(ggplot2) # 准备数据 data <- list(data1, data2, data3) # 多个饼图数据集 labels <- list(labels1, labels2, labels3) # 饼图标签数据集 # 使用循环生成多个饼图 plots <- list() for (i in 1:length(data)) { plot <- ggplot(data[[i]], aes(x="", y=data[[i]])) ...
(i in 1:numPlots) { # Get the i,j matrix positions of the regions that contain this subplot matchidx <- as.data.frame(which(layout == i, arr.ind = TRUE)) print(plots[[i]], vp = viewport(layout.pos.row = matchidx$row, layout.pos.col = matchidx$col)) } } } 以上内容转自...
Can arrange multiple ggplots over multiple pages, compared to the standard plot_grid(). Can also create a common unique legend for multiple plots.ggarrange( ..., plotlist = NULL, ncol = NULL, nrow = NULL, labels = NULL, label.x = 0, label.y = 1, hjust = -0.5, vjust = 1.5, ...