scales_fill_continuous不起作用(ggplot2)

问题描述：

我有一个数据:

df_1 <- data.frame(
  x = replicate(
    n = 2, expr = rnorm(n = 3000, mean = 100, sd = 10)
  ), 
  y = sample(x = 1:3, size = 3000, replace = TRUE)
)

以及关注功能:

library(tidyverse)

ggplot(data = df_1, mapping = aes(x = x.1, fill = x.1)) + 
  geom_histogram(color = 'black', bins = 100) + 
  scale_fill_continuous(low = 'blue', high = 'red') + 
  theme_dark()

scale_fill_continuous 不起作用.该图是黑色和灰色的.

scale_fill_continuous doesn't work. The graph is black and gray.

Tks.

答

我认为问题是填充有 nrow(df_1)个值，但只需要100个即可.可以通过预先计算bin的位置和计数并使用 geom_col 进行绘制来解决，但是更巧妙的解决方案是使用 stat .stat stat 应该用于计算变量(例如 stat(count)-参见?geom_histogram )，但是我们可以给它向量1:nbin ，并且有效.

The problem, I think, is that there are nrow(df_1) values for fill, but only 100 are needed. This could be solved by pre-calculating the bin positions and counts and plotting with geom_col, but a neater solution is to use stat. stat is supposed to be for computed variables (e.g. stat(count) - see ?geom_histogram) but we can give it the vector 1:nbin and it works.

df_1 <- data.frame(
  x = replicate(n = 2, expr = rnorm(n = 3000, mean = 100, sd = 10)), 
  y = sample(x = 1:3, size = 3000, replace = TRUE)
)

library(tidyverse)
nbins <- 100
ggplot(data = df_1, mapping = aes(x = x.1, fill = stat(1:nbins))) + 
  geom_histogram(bins = nbins) + 
  scale_fill_continuous(low = "red", high = "blue")

^{由 reprex软件包(v0.3.0)于2020-01-19创建}

^{Created on 2020-01-19 by the reprex package (v0.3.0)}

scales_fill_continuous不起作用(ggplot2)

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