二、使用【成组数字】分别指定线的「实心」和「留白」长度 ggplot2提供了多种linetype类型,下面简单介绍一下指定线型的不同方式 一、使用数字或名称直接指定 ggplot2使用数字及字符串预定义好了几种线型,可以直接使用。 0 = "blank" 1 = "solid" 2 = "dashed" 3 = "dotted" 4 = "dotdas
linetype = "B"), size = 1 ) +scale_color_manual(name = "group",
ggplot(data=df, aes(x=dose, y=len, group=1)) +geom_line() 1.2 添加点,并更改线型 和颜色 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ggplot(data=df, aes(x=dose, y=len, group=1)) +geom_line(linetype = "dashed",color="red")+ geom_point() 1.3 添加箭头 代码语言:javascript...
group: 分组变量,用于区分不同的箱线图。 pattern.type: 指定图案的类型,可以是 "lattice"(格子)或其他。 pattern.line.size: 图案线条的粗细。 label.size: x 轴上分组标签的字体大小。 pattern.color: 图案的颜色。 background.color: 图表背景颜色。 frame.color: 图表框架的颜色。 density: 密度参数,可能...
p <- ggplot(df2, aes(x = dose, y = len, group = supp))# Change line types and point shapes by groupsp + geom_line(aes(linetype = supp)) + geom_point(aes(shape = supp))# Change line types, point shapes and colors# Change color manually: custom colorp + geom_line(aes(linety...
Create a single line plot. Change the linetype option to “dashed”. library(ggplot2) ggplot(data = df, aes(x = dose, y = len.mean, group =1)) + geom_line(linetype ="dashed")+ geom_point() Create a line plot for multiple groups. Change line types by groups. ...
ggplot(df3, aes(x=dose, y=len, group = supp, color=supp))+geom_errorbar(aes(ymin=len-sd, ymax=len+sd), width=.1,position=position_dodge(0.05)) +geom_line(aes(linetype=supp)) +geom_point(aes(shape=supp))+labs(title="Plot of lengthby dose",x="Dose (mg)", y = "Length"...
ggplot(data = df, mapping = aes(x = year, y = value, colour = type)) + geom_line() 基于形状的多条折线图 ggplot(data = df, mapping = aes(x = year, y = value, linetype= type)) + geom_line() 同样需要注意的是,在绘制多条折线图时,如果横坐标为因子,必须还得加上‘group=分组变...
ggplot(data,# Change colors of lines by groupaes(x=x, y=y,group=group))+geom_line(aes(col=group))+geom_point() Figure 2 shows the output of the previous syntax: We have adjusted the line colors. However, the color of the points has been kept the same. ...
ggboxplot(myeloma, x="molecular_group", y="DEPDC1", color="molecular_group", add="jitter", legend="none") + rotate_x_text(angle = 45) + geom_hline(yintercept = mean(myeloma$DEPDC1), linetype=2) + # 添加base mean的水平线 ...