代码语言:javascript 复制 p1<-dt%>%ggplot(aes(x=carat,y=cut,color=cut))+geom_point()+labs(title="修改前")p2<-dt%>%ggplot(aes(x=carat,y=cut,color=cut))+geom_point()+guides(color=guide_legend(override.aes=list(size=3)))+labs(title="修改后")p1+p2...
ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point(shape = 18, color = "steelblue", size = 4)fill可改变填充色，只适用于形状是21-25 ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point(shape = 23, fill = "blue", color = "darkred", size = 3)添加分组元素（默认 gg...
shape=21,size=20,stroke=0,fill="orange") + geom_point(data=data.frame(x=0.7,y=c(1,1.025)),mapping=aes(x=x,y=y), shape=21,size=0,stroke=20,color="green") + geom_point(data=data.frame(x=0.8,y=c(1,1.025)),mapping=aes(x=x,y=y), shape=21,size=10,stroke=10*0.75,fill=...
# 代码来自 http://sape.inf.usi.ch/quick-reference/ggplot2/shaped=data.frame(p=c(0:25,32:127))ggplot() +scale_y_continuous(name="") +scale_x_continuous(name="") +scale_shape_identity() +geom_point(data=d, mapping=aes(x=p%%16, y=p%/%16, shape=p), size=5, fill="red") ...
ggplot(data = data, aes(x = x, y = y, size = y)) + geom_point() 绘制折线图,并将线条类型映射到 group 值 ggplot(data = data, aes(x = x, y = y, linetype = group)) + geom_line( 3、geom geom_blank:在图形中插入空白元素。
Term,size=Count, colour=qvalue))+#横坐标、纵坐标、颜色代表p-value geom_point()+#圆点的大小代表组内基因数 scale_color_gradientn(colours=c("red","blue"))+#可以自己改颜色 #圆点的大小代表Number of significant genes #scale_size_continuous(range = c(4,7))+#圆点的大小范围 scale_x_...
ggplot(mtcars, aes(x = wt, y = mpg)) +geom_point(shape =18, color = "steelblue", size =4) fill可改变填充色,只适用于形状是21-25 ggplot(mtcars, aes(x = wt, y = mpg)) +geom_point(shape =23, fill = "blue",color = "darkred", size =3) ...
geom_point(size = 7,aes(color = gender)) + geom_text(aes(label = name)) 乍一看,对于ggplot2的初学者来说,这似乎简直是胡言乱语。你可能猜测到ggplot是一个函数,并且此代码生成的可视化结果可能表示点和文本。但到底aes是什么或者geom_text或者size是什么意思?
library(scales) p <- ggplot(data,aes(displ,hwy))+ geom_smooth(method='lm', se=F, colour=alpha('steelblue',0.5), size=2)+ geom_point() print(p) 3.2.2 数据 ggplot2只接受数据框输入,而且,对于一个已经创建好的基于数据框1的绘图对象p,可以用p %+% 数据框2 的形式直接替代原来的数据集:...
geom_point(data=d, mapping=aes(x=p%%16, y=p%/%16, shape=p), size=5, fill="red") + geom_text(data=d, mapping=aes(x=p%%16, y=p%/%16+0.25, label=p), size=3) 1. 2. 3. 4. 5. 6. 7. 8. 那怎么利用起来呢?需要转换计算下能用的符号编号,这里选取0:14, 33-127(15-25...