(x = x)) + geom_line(aes(y = y1), color = "blue") + geom_line(aes(y = y2, color = "red")) + scale_y_continuous( sec.axis = sec_axis(~ . * 10, name = "Secondary Y Axis") ) + scale_color_manual(values = c("blue", "red")) + labs(y = "Primary Y ...
在ggplot中添加sec.axis 是指在绘制的图表中添加第二个坐标轴(secondary axis),用于显示不同的数据范围或不同的数据类型。这种功能通常在需要同时显示两个不同单位或不同尺度的数据时使用。 添加sec.axis的步骤如下: 首先,需要安装并加载ggplot2包,该包是R语言中用于数据可视化的重要工具。 创建一个基本的ggplot对...
可以参考下这个例子ggplot2: Secondary Y axis
geom_point( mapping = aes(x = x, y = y1), color ="black") + geom_line( mapping = aes(x = x, y = y2), color ="red") + geom_point( mapping = aes(x = x, y = y2), color ="red") + scale_y_continuous("Primary", sec.axis = sec_axis(~ .,name ="Secondary") ) ...
Plotting with different scales using secondary Y axis 通过颜色说明线是什么,y2标签对应grid df <- ggplot2::economics y1 <- df$psavert y2 <- df$unemploy target.range <- range(y1) origin.range <- range(y2) a <- (target.range[2] - target.range[1]) / (origin.range[2] - origin.ra...
This function is used in conjunction with a position scale to create a secondary axis, positioned opposite of the primary axis. All secondary axes must be based on a one-to-one transformation of the primary axes. 这个函数需要与一个位置刻度一起使用,以创建一个与主轴相反的中轴。所有次级轴都必须...
1、线图线条上插入注释 简单用法: 2、副轴添加注释标签 -- sec.axis 代码参考:How to Add Labels Directly in ggplot2. Hi...
Furthermore, note that the y-axis is not representing the values shown on the line properly. Let’s fix this! Example 2: Add Secondary Y-Axis to ggplot2 Plot This example shows how toadd a second y-axisto our plot, which represents the values of the line that we have annotated in ...
frame(year, course, penroll) # Plotting Charts and adding a secondary axis library(ggplot2) ggp <- ggplot(perf) + geom_bar(aes(x=year, y=course),stat="identity", fill="cyan",colour="#006000")+ geom_line(aes(x=year, y=100*penroll),stat="identity",color="red",size=2)+ labs(...
sec.axis:指定辅助坐标轴(secondary axis); 例如,x轴是以日期(date)为值的坐标轴,而y轴按照pretty_breaks()函数进行间断,标签按照特定的格式显示: library("scales")ggplot(data=mtcars, aes(x=wt,y=mpg))+ geom_point(color="red",size=1,shape=0)+ scale_x_date(date_labels="%Y-%m",date_breaks=...