使用ggplot2在直方图上绘制正常曲线：代码在0处生成直线

本文介绍了使用ggplot2在直方图上绘制正常曲线：代码在0处生成直线的处理方法，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 29岁程序员，3月因学历无情被辞！ 这个论坛为我生成代码提供了很多帮助，我希望能够返回一个覆盖其经验正态曲线的特定变量的直方图。我用ggplot2和stat_function来编写代码。 不幸的是，代码生成了一个具有正确直方图的曲线图，但正常曲线是一条直线为零（由以下代码生成的红色曲线）。 这是代码被写入和使用： library（ggplot2） mtcars hist_staff< - ggplot（mtcars，aes（x = mtcars $ mpg））+ geom_histogram（binwidth = 2，color =black，aes（fill = ..count ..））+ scale_fill_gradient（Count，low =#DCDCDC ，高=＃7C7C7C）+ stat_function（fun = dnorm，color =red） print（hist_staff） 我也试着指定dnorm： stat_function（fun = dnorm（mtcars $ mpg，mean = mean（mtcars $ mpg），sd = sd（mtcars $ mpg）） 那也没有成功 - 返回的错误消息说明了这一点在参数不是数字。 我希望你们能帮助我！感谢您的提前！ Best，Jannik 解决方案曲线和直方图在不同的比例尺上，并且您没有检查 stat_function 上的帮助页面，否则您将参数放在列表，如清单所示。您还没有在您的初始 ggplot 调用中执行 aes 。我诚恳地建议打出更多的教程和书籍（或者至少帮助页面），同时学习ggplot零碎。 修复 stat_function arg问题和 ggplot``aes 问题，您需要解决y轴比例差异问题。为此，您需要将直方图的y切换为使用基础 stat_bin 计算数据框中的密度： library（ggplot2） gg gg aes（y = .. density ..，fill = .. count ..）） gg gg color =red， args = list mean = mean（mtcars $ mpg）， sd = sd（mtcars $ mpg））） gg this forum already helped me a lot for producing the code, which I expected to return a histogram of a specific variable overlayed with its empirical normal curve. I used ggplot2 and stat_function to write the code.Unfortunately, the code produced a plot with the correct histogram but the normal curve is a straight line at zero (red line in plot produced by the following code).For this minimal example I used the mtcars dataset - the same behavior of ggplot and stat_function is observed with my original data set.This is the code is wrote and used:library(ggplot2)mtcarshist_staff <- ggplot(mtcars, aes(x = mtcars$mpg)) + geom_histogram(binwidth = 2, colour = "black", aes(fill = ..count..)) + scale_fill_gradient("Count", low = "#DCDCDC", high = "#7C7C7C") + stat_function(fun = dnorm, colour = "red")print(hist_staff)I also tried to specify dnorm:stat_function(fun = dnorm(mtcars$mpg, mean = mean(mtcars$mpg), sd = sd(mtcars$mpg))That did not work out either - an error message returned stating that the arguments are not numerical.I hope you people can help me! Thanks a lot in advance!Best, Jannik 解决方案 Your curve and histograms are on different y scales and you didn't check the help page on stat_function, otherwise you'd've put the arguments in a list as it clearly shows in the example. You also aren't doing the aes right in your initial ggplot call. I sincerely suggest hitting up more tutorials and books (or at a minimum the help pages) vs learn ggplot piecemeal on SO.Once you fix the stat_function arg problem and the ggplot``aes issue, you need to tackle the y axis scale difference. To do that, you'll need to switch the y for the histogram to use the density from the underlying stat_bin calculated data frame:library(ggplot2)gg <- ggplot(mtcars, aes(x=mpg))gg <- gg + geom_histogram(binwidth=2, colour="black", aes(y=..density.., fill=..count..))gg <- gg + scale_fill_gradient("Count", low="#DCDCDC", high="#7C7C7C")gg <- gg + stat_function(fun=dnorm, color="red", args=list(mean=mean(mtcars$mpg), sd=sd(mtcars$mpg)))gg 这篇关于使用ggplot2在直方图上绘制正常曲线：代码在0处生成直线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！ 上岸，阿里云！