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...
lty <- c("solid", "dashed", "dotted", "dotdash", "longdash", "twodash") linetypes <- data.frame( y = seq_along(lty), lty = lty ) ggplot(linetypes, aes(0, y)) +geom_segment(aes(xend = 5, yend = y, linetype = lty)) +scale_linetype_identity() + geom_text(aes(label...
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...
AI代码解释 ggplot(frame,aes(group,num,fill=group))+geom_col()+geom_errorbar(aes(group,ymin=mean-sd,ymax=mean+sd,color=group),width=0.6,size=1)+xlab("Group")+ylab("OR")+theme(legend.position="none",axis.title=element_text(size=15),axis.text=element_text(size=15))+annotate("text"...
ggplot(df,aes(group1,value))+ stat_boxplot(aes(color=group1),geom="errorbar",width=0.1,size=0.8,linetype=2)+ geom_boxplot(aes(fill=group1),outlier.color=NA,color=NA)+ stat_summary(fun=median,geom="point",size=3,shape=21,color="black",fill="white") ...
ggplot(data = mtcars, mapping = aes(x = wt, y = hp,group = factor(gear))) +geom_line() 分组也可以通过映射把视觉特征(shape、color、fill、size和linetype等)设置为变量来实现分组,分组通常使用因子来实现,这就要求在数据集中存在因子变量,用于对数据分类,实现图形的分组。
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. ...
stat_ellipse(aes(color = Group), level = 0.95, linetype = 1, show.legend = FALSE) #拼图: p3+ p4 + plot_layout(guides = 'collect')#拼图时合并图例 ##填充无描边型置信椭圆: p5<- p2 + stat_ellipse(aes(fill = Group), level = 0.95, show.legend = FALSE, ...
线(line,vline,abline,hline,stat_function等):一般是基于函数来处理位置 射(segment):特征是指定位置有xend和yend,表示射线方向 面(tile, rect):这类一般有xmax,xmin,ymax,ymin指定位置 棒(boxplot,bin,bar,histogram):往往是二维或一维变量,具有width属性 ...
#分组(group)也是ggplot2种映射关系的一种, 如果需要把观测点按额外的离散变量进行分组处理, 必须修改默认的分组设置。 p1 <- ggplot(data=diamond, mapping=aes(x=carat, y=price, group=factor(cut))) p1 + geom_boxplot() 1. 2. 3. 4.