图直方图上的密度曲线

问题描述

我正在使用 plotly 为我正在使用的数据集绘制直方图

I am using plotly to plot a histogram for a dataset I am working with

test  <- data.frame(y = rgamma(1000, shape = 0.25, rate = 0.0054))
plot_ly(x = ~test$y, type = "histogram", nbinsx = "23")

这样的图很好，但我不清楚如何绘制流经直方图轮廓的平滑密度曲线.

The plot as such is fine but I am unclear how to draw a smooth density curve flowing through the contours of the histogram.

Plotly 参考手册建议，

使用 plot_ly 或 add_trace 初始化直方图轨迹:

A histogram trace is initialized with plot_ly or add_trace:

plot_ly(df, type="histogram"[, ...])
add_trace(p, type="histogram"[, ...])

并且有一个 histnorm(枚举:"|百分比"|概率"|密度"|概率密度") histonorm 函数，我认为它允许用户绘制密度曲线，但我不知道如何使用这个功能.

and there is a histnorm (enumerated: "" | "percent" | "probability" | "density" | "probability density" ) histonorm function which i assume will allow users to draw a density curve but I am not sure how to use this function.

有兴趣了解其他人是如何解决这个问题的.非常感谢任何提示或建议.

Interested to find out how others have approached this problem. Any tips or suggestions are much appreciated.

推荐答案

虽然不理想 - 这是一种方法.

While not ideal - here's one way to do it.

更新了 y 轴限制

library(plotly)

y <- rgamma(1000, shape = 0.25, rate = 0.0054)
dens <- data.frame(x = density(y)$x,
                   y = density(y)$y)

miny <- 0
maxy <- max(dens$y)

plot_ly() %>%
  add_histogram(x = y) %>%
  add_lines(data = dens, x = ~x, y = ~y, yaxis = "y2",
            line = list(width = 3)) %>%
  layout(yaxis2 = list(overlaying = "y",
                       side = "right",
                       range = c(miny, maxy),
                       showgrid = F,
                       zeroline = F))

这篇关于图直方图上的密度曲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！