facet_grid 中的免费色阶

Free colour scales in facet_grid

假设我有以下数据框:

# Set seed for RNG
set.seed(33550336)

# Create toy data frame
loc_x <- c(a = 1, b = 2, c = 3)
loc_y <- c(a = 3, b = 2, c = 1)
scaling <- c(temp = 100, sal = 10, chl = 1) 

df <- expand.grid(loc_name = letters[1:3], 
                  variables = c("temp", "sal", "chl"), 
                  season = c("spring", "autumn")) %>% 
  mutate(loc_x = loc_x[loc_name],
         loc_y = loc_y[loc_name],
         value = runif(nrow(.)),
         value = value * scaling[variables])

看起来像,

# > head(df)
#   loc_name variables season loc_x loc_y     value
# 1        a      temp spring     1     3 86.364697
# 2        b      temp spring     2     2 35.222573
# 3        c      temp spring     3     1 52.574082
# 4        a       sal spring     1     3  0.667227
# 5        b       sal spring     2     2  3.751383
# 6        c       sal spring     3     1  9.197086

我想使用 variablesseason 将这些数据绘制在小平面网格中以定义面板,如下所示:

g <- ggplot(df) + geom_point(aes(x = loc_name, y = value), size = 5)
g <- g + facet_grid(variables ~ season) 
g

如您所见,不同的 variables 具有非常不同的尺度。因此,我使用 scales = "free" 来说明这一点。

g <- ggplot(df) + geom_point(aes(x = loc_name, y = value), size = 5)
g <- g + facet_grid(variables ~ season, scales = "free") 
g

很方便。现在,假设我想这样做,但是用 loc_xloc_y 绘制点,并用颜色而不是 y 位置表示 value

g <- ggplot(df) + geom_point(aes(x = loc_x, y = loc_y, colour = value), 
                             size = 5)
g <- g + facet_grid(variables ~ season, scales = "free") 
g <- g + scale_colour_gradient2(low = "#3366CC", 
                                mid = "white", 
                                high = "#FF3300", 
                                midpoint = 50) 
g

请注意,颜色 比例不是免费的,并且与第一个数字一样,salchl 的值不容易读取。

我的问题:除了颜色之外,是否可以做与 scales = "free" 等效的事情,以便每一行(在本例中)都有一个单独的颜色条?或者,我是否必须绘制每个变量(即图中的行)并使用 cowplot?

之类的东西将它们拼凑在一起

使用dplyr的开发版:

library(dplyr)
library(purrr)
library(ggplot2)
library(cowplot)

df %>% 
  group_split(variables, season) %>% 
  map(
    ~ggplot(., aes(loc_x, loc_y, color = value)) + 
      geom_point(size = 5) +
      scale_colour_gradient2(
        low = "#3366CC", 
        mid = "white", 
        high = "#FF3300", 
        midpoint = median(.$value)
      ) +
      facet_grid(~ variables + season, labeller = function(x) label_value(x, multi_line = FALSE))
  ) %>% 
  plot_grid(plotlist = ., align = 'hv', ncol = 2)