p + geom_point(aes(colour = factor(cyl)), size = 4) +geom_point(colour = "grey90", size = 1.5) 先绘制更大的点,然后绘制小的点 再来一个例子 p + geom_point(colour = "black", size = 4.5) + geom_point(colour = "pink", size = 4) + geom_point(aes(shape = factor(cyl))) ...
p + 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_point(aes(shape = factor(cyl))) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10....
在ggplot2包中,geom_point()函数用于绘制散点图。通过设置参数size可以调整点的大小。下面是一个简单的示例代码: ```R library(ggplot2)#创建示例数据data <- data.frame( x = c(1, 2, 3, 4, 5), y = c(2, 4, 6, 8, 10), size = c(1, 2, 3, 4, 5) )#绘制散点图ggplot(data, aes...
如果我将geom_point更改为geom_line: ggplot(cld, aes(x=x, y=y, color=variable))+ geom_line(size=4)+ scale_color_manual(values=colors)复制 我得到以下错误: ERROR while rich displaying an object: Error in stats::complete.cases(data[c("x", "y", "size", "colour", "linetype")]): u...
stat_summary(fun.y=median, geom="point",shape=18 ,size=4, col="orange") } for (i in names(SOdata)[-c(1,7)]) { p<- magic(i) ggsave(paste("magig_plot_",i,".png",sep=""), plot=p, height=3.5, width=5.5) }
size = 1) + geom_point(aes(x = data$"1940", color = "1940"), # these can be any string, they just need to be unique identifiers size = 4, shape = 15) + geom_point(aes(x = data$"1960", color = "1960"), size = 4, ...
south bronze paper 0.140 0.466"), header = TRUE)library(ggplot2)geom_point(size = 4, aes(shape = pole, color脑海中浮现的一种可能性就是彩色轮廓。有没有一种方便的方法可以做到这一点? 浏览2提问于2016-08-18得票数 0 回答已采纳 4回答 在r中连接类似树的线条 、、 6.1我希望绘制如下...
p+geom_point(colour="black",size=4.5,show_guide=TRUE)+geom_point(colour="pink",size=4,show_guide=TRUE)+geom_point(aes(shape=factor(cyl)))# Transparent points:qplot(mpg,wt,data=mtcars,size=I(5),alpha=I(0.2))# geom_point warns when missing values have been dropped from the dataset#...
4.geom_point 参数的示例 以下是一个使用geom_point 参数创建的散点图示例: ```python import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y = [2, 4, 6, 8, 10] plt.scatter(x, y, s=100, c="red", alpha=0.5, marker="o", marker_size=8, marker_color="blue") plt.show()...
geom_point(color = "red", size = 3) # 显示图形 print(p) 在这个例子中,color = "red" 将点的颜色设置为红色,而 size = 3 将点的大小设置为 3。 形状 你还可以使用shape 参数来改变点的形状。ggplot2 提供了许多不同的点形状选项。 R # 改变点的形状 p <- ggplot(df, aes(x = x, y = ...