ggplot组由一个分类变量和第二个颜色组成

本文介绍了ggplot组由一个分类变量和第二个颜色组成的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述 基本上我想用ggplot在R中创建下面显示的第一个图，但是两个对象都在同一个图上（没有方面包装）。 考虑一个模仿我的数据结构的简单例子： library （重塑2）库（ggplot2）x y z df dat< - melt（df，id = c（x，rep）） 我可以将它与 ggplot（dat）+ geom_line（aes（x，value，group =颜色=变量）， alpha = 0.3）+ facet_wrap（〜变量） 并得到 ，特别是 ？guide_legend 例如 ggplot（dat）+ geom_line（ aes（x，value，group = interaction（rep，variable），color = variable）， alpha = 0.3）+ scale_colour_discrete（guide = guide_legend（override.aes = list（alpha = 1）） ） Basically I'd like to create the first plot shown below in R using ggplot, but with both objects on the same graph (no facet wrapping). Consider a minimal example that mimics my data structure: library(reshape2)library(ggplot2)x <- seq(1, 5, length = 100)y <- replicate(10, sin(2 * pi * x) + rnorm(100, 0, 0.3), "list")z <- replicate(10, sin(2 * pi * x) + rnorm(100, 5, 0.3), "list")y <- melt(y)z <- melt(z)df <- data.frame(x = y$Var1, rep = y$Var2, y = y$value, z = z$value)dat <- melt(df, id = c("x", "rep"))I can plot it withggplot(dat) + geom_line(aes(x, value, group = rep, color = variable), alpha = 0.3) + facet_wrap(~variable)And gethttp://carlboettiger.info/assets/figures/2012-12-18-NA-unnamed-chunk-2.pngBut if I try dropping the facet wrapping, I thought it should group by color and variable, but instead the data are not broken out correctly, resulting in nonsense:http://carlboettiger.info/assets/figures/2012-12-18-NA-unnamed-chunk-3.png 解决方案 The problem is that the group aesthetic overrides the standard grouping protocols - it isn't included in the interaction of all discrete variables in the plot described in ?group. So, to get your plot to work without faceting you would need to manually specify the interactionggplot(dat) + geom_line(aes(x, value, group = interaction(rep,variable), color = variable), alpha = 0.3) To override the alpha value in the aesthetic, use guide_legend(override.aes = ...)). This information can be found following the links in ?guides and specifically ?guide_legendegggplot(dat) + geom_line(aes(x, value, group = interaction(rep,variable), color = variable), alpha = 0.3) + scale_colour_discrete(guide = guide_legend(override.aes = list(alpha = 1))) 这篇关于ggplot组由一个分类变量和第二个颜色组成的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！