进行绘图将shape列数据映射到aes(shape) library(ggplot2) p=ggplot(dat,aes(x=X,y=Y,shape=shape))+ geom_point(size=20)print(p) AI代码助手复制代码 将直接报错,注意先转化因子: dat$shape=factor(dat$shape) p=ggplot(dat,aes(x=X,y=Y,shape=shape))+ geom_point(size=10)print(p) AI代码助手...
("A", "A", "B", "B", "C")) # 绘制散点图,并设置不同的符号表示不同的类别 ggplot(data, aes(x = x, y = y, shape = category)) + geom_point(size = 3) + scale_shape_manual(values = c(16, 17, 18)) + labs(title = "Scatter plot with different symbols", x = "X-axis...
ggplot(mtcars, aes(wt, mpg)) + geom_point(colour = "red", size = 3) # 指定了点的形状、线条颜色、填充颜色、填充大小、线条粗细各属性 ggplot(mtcars, aes(wt, mpg)) + geom_point(shape = 21, colour = "black", fill = "white", size = 5,stroke = 5) 1. 2. 3. 4. 5. 6. 7....
ggplot(data, aes(x = x, y = y, color = category)) + geom_point() + scale_color_manual(values = c("red", "green", "blue")) # 设置色标样式 # 绘制散点图,并根据value变量设置颜色映射 ggplot(data, aes(x = x, y = y, fill = value)) + geom_point(shape = 21, size = 5) ...
p<-ggplot(mtcars,aes(mpg,wt))p+geom_point(colour="grey50",size=4)+geom_point(aes(colour=cyl))p+aes(shape=factor(cyl))+geom_point(aes(colour=factor(cyl)),size=4)+geom_point(colour="grey90",size=1.5)p+geom_point(colour="black",size=4.5)+geom_point(colour="pink",size=4)+geom...
这是这个问题的后续(第 1 部分):ggplot (geom_point) 中的自定义形状 这提供了一个解决方案来生成头骨💀(或心 )形式的自定义 ggplot2 形状: library(ggplot2) df <- read.table(text="x y 1 3 2 4 3 6 4 7", header=TRUE) ggplot(data = df, aes(x =x, y=y)) + geom_point(shape=...
ggplot(agcd,aes(seqs,value))+geom_point()+aes(shape=bq) +scale_shape_manual(values=c(1,19,3,6)) +theme(panel.background=element_blank(),panel.grid.minor=element_blank(), axis.line=element_line(size=0.5),legend.title=element_blank()) +theme(legend.key.size=unit(2,'cm'),legend....
代码中确定X ,Y,在shape中设定下形状。 library(ggplot2) p=ggplot(dat,aes(x=X,y=Y))+ geom_point(shape=dat$shape,size=10) print(p) 每个位置对应的形状的数字(结合数据和图片) 如果统一一个形状呢? p=ggplot(dat,aes(x=X,y=Y))+
p<-ggplot(data=data1,mapping=aes(x = TRUTH_SAMPLE,y=NON_REF_GENOTYPE_CONCORDANCE,colour=VARIANT_TYPE,shape=VARIANT_TYPE ))+geom_point(size=2)+scale_color_brewer(palette = 'Accent')+labs(x="Samples",y="Concordance",title="Zbolt_15X vs Downloded_30X")+theme( panel.grid=element_blank(...
geom_point是ggplot2中用于绘制散点图的函数;xlim和ylim分别用于设置x轴和y轴的坐标范围。 在使用geom_point时,可以使用它的参数来调整数据点的形状、颜色、大小等,例如: ``` ggplot(data, aes(x = x_var, y = y_var)) + geom_point(shape = 16, color = "blue", size = 3) ``` 这个例子中,...