r - ggplot2 线周围的缓冲区

Question

我想要一个图表，作为一年中一天的函数，在 x 和 y 轴(其中每个轴都是一个单独的指标)上从 0 -> 100% 前进。根据数据相对于一年中哪一天的位置，我想表明这是好是坏。很简单，我可以这样显示:


因此，上图显示我们处于良好状态，因为“提示”(最暗的最大点)已超过 50% 标记(假设我们全年都为 50%)。但我想在水平线和垂直线周围添加渐变线以显示更多细微差别。这是对区域的解释(第一张图是解释......第二张是我想在 ggplot 中显示的方式......区域完全填充。



这是我在 ggplot 中的进展:



我遇到的问题:

出于某种原因，垂直梯度不接受 alpha 参数

我不能分配两种不同的渐变，一旦我定义了渐变，它就适用于垂直和水平渐变。

这看起来很可怕。我应该遵循更好的方法吗？

问题 1-2 是否可以解决？如果有人有更好的方法不使用 geom_line ，请随时提出建议。

编辑:随着线条移动，渐变也会移动，因此静态背景在这里不起作用。

代码如下:

dff <- data.frame(x = 1:60+(runif(n = 60,-2,2)),
                  y = 1:60+(runif(n = 60,-2,2)),
                  z = 1:60)

dfgrad <- data.frame(static = c(rep(50,1000)), line = seq(0,100,length.out=100))

## To see the gradientlines thinner, change the size on the geom_line  to like 200

ggplot(dff,aes(x,y)) +
  geom_line(data = dfgrad, aes(x=static, y=line, color=line),size=1000,alpha=0.5) +
  geom_line(data = dfgrad, aes(x=line, y=static, color=line),size=1000,alpha=0.5) +
  scale_colour_gradientn( colours = c( "yellow", "darkgreen","darkred"),
                          breaks  = c( 0, 3, 100),
                          limits  = c( 0,100)) +
  geom_hline(yintercept = 50, linetype="dashed") +
  geom_vline(xintercept = 50, linetype="dashed") +
  geom_point(aes(alpha=dff$z,size= (dff$z))) +
  theme(legend.position="none") +
  scale_x_continuous(expand = c(0, 0)) + scale_y_continuous(expand = c(0, 0))

最终编辑:提交的答案是正确的，但为了根据“今天”行更改渐变，我不得不把它弄乱一点……所以我把它贴在这里，以防它对任何人有用:

g1 <- colorRampPalette(c("darkgreen", "darkgreen","red"))(20) %>%
  alpha(0.3) %>% matrix(ncol=1) %>%  # up and down gradient
  rasterGrob(width = 1, height = 1)  # full-size (control it by ggplot2)

g2 <- colorRampPalette(c("yellow", "darkgreen","red"))(20) %>% 
  alpha(0.3) %>% matrix(nrow=1) %>%  # left and right gradient
  rasterGrob(width = 1, height = 1)

timeOfYear <- 5
maxx <- max(timeOfYear,(100-timeOfYear))

ggplot(dff,aes(x,y)) +
  annotation_custom(g1, xmin = timeOfYear-maxx, xmax = timeOfYear+maxx, ymin = timeOfYear-maxx, ymax = timeOfYear+maxx) +
  annotation_custom(g2, xmin = timeOfYear-maxx, xmax = timeOfYear+maxx, ymin = timeOfYear-maxx, ymax = timeOfYear+maxx) +
  # annotation_custom(g1, xmin = 35, xmax = 65, ymin = -3, ymax = 100) +
  # annotation_custom(g2, xmin = -3, xmax = 100, ymin = 35, ymax = 65) +
  geom_hline(yintercept = timeOfYear, linetype="dashed") +
  geom_vline(xintercept = timeOfYear, linetype="dashed") +
  geom_point(aes(alpha=dff$z,size= (dff$z))) +
  theme(legend.position="none") +
  coord_cartesian(xlim = c(0, 100), ylim = c(0, 100), expand = F)

Answer 1

如果我是你，我会用 grid 做矩形使用 annotation_custom() 打包并将它们放在图表上. (您的问题。1 是由于重叠，请尝试 alpha=0.05 )
这是我的例子:

library(ggplot2); library(grid); library(dplyr)

g1 <- colorRampPalette(c("yellow", "darkgreen","darkred"))(20) %>%
  alpha(0.5) %>% matrix(ncol = 1) %>%   # up and down gradient
  rasterGrob(width = 1, height = 1)     # full-size (control it by ggplot2)

g2 <- colorRampPalette(c("cyan", "darkgreen","darkblue"))(20) %>% 
  alpha(0.5) %>% matrix(nrow = 1) %>%   # left and right gradient
  rasterGrob(width = 1, height = 1)

ggplot(dff,aes(x,y)) +
  annotation_custom(g1, xmin = 35, xmax = 65, ymin = -3, ymax = 100) + 
  annotation_custom(g2, xmin = -3, xmax = 100, ymin = 35, ymax = 65) + 
  geom_hline(yintercept = 50, linetype="dashed") +
  geom_vline(xintercept = 50, linetype="dashed") +
  geom_point(aes(alpha=dff$z,size= (dff$z))) +
  theme(legend.position="none") +
  coord_cartesian(xlim = c(-3, 100), ylim = c(-3, 100), expand = F)

[编辑]
这是我为每个 timeOfYear 保持相同梯度度的方法(我引用了@Amit Kohli 的代码)(左图是概念)；

 # I added both limits colors as outside colors 
 # to avoid that graph becomes almost green when timeOfYear is about 50.
g1.2 <- c(rep("yellow", 5), colorRampPalette(c("yellow", "darkgreen","red"))(20), rep("red", 5)) %>%
  rev() %>% alpha(0.3) %>% matrix(ncol=1) %>% rasterGrob(width = 1, height = 1)

g2.2 <- c(rep("yellow", 5), colorRampPalette(c("yellow", "darkgreen","red"))(20), rep("red", 5)) %>%
  alpha(0.3) %>% matrix(nrow=1) %>% rasterGrob(width = 1, height = 1)

timeOfYear <- 5

ggplot(dff, aes(x, y)) +
  annotation_custom(g1.2, timeOfYear - 100, timeOfYear + 100, timeOfYear - 100, timeOfYear + 100) +
  annotation_custom(g2.2, timeOfYear - 100, timeOfYear + 100, timeOfYear - 100, timeOfYear + 100) + 
  geom_hline(yintercept = timeOfYear, linetype="dashed") +
  geom_vline(xintercept = timeOfYear, linetype="dashed") +
  geom_point(aes(alpha=dff$z,size= (dff$z))) +
  theme(legend.position="none") +
  coord_cartesian(xlim = c(0, 100), ylim = c(0, 100), expand = F)

如果您需要，SpaDES::divergentColors()为您提供具有非对称范围的颜色向量(可能某些包具有类似的功能)。

library(SpaDES)

timeOfYear <- 5

# ?divergentColors(start.color, end.color, min.value, max.value, mid.value = 0, mid.color = "white")    
   # It makes a vector of colors (length: max.value - min.value) 
   # and you can define mid.color's val (i.e., position)

g3 <- divergentColors("yellow", "red", 0, 100, timeOfYear, mid.color = "darkgreen") %>% 
  rev() %>% alpha(0.3) %>% matrix(ncol = 1) %>% rasterGrob(width = 1, height = 1)

g4 <- divergentColors("yellow", "red", 0, 100, timeOfYear, mid.color = "darkgreen") %>% 
  alpha(0.3) %>% matrix(nrow = 1) %>% rasterGrob(width = 1, height = 1)

ggplot(dff,aes(x,y)) +
  annotation_custom(g3, xmin = 0, xmax = 100, ymin = 0, ymax = 90) +
  annotation_custom(g4, xmin = 0, xmax = 90, ymin = 0, ymax = 100) + 
  geom_hline(yintercept = timeOfYear, linetype="dashed") +
  geom_vline(xintercept = timeOfYear, linetype="dashed") +
  geom_point(aes(alpha=dff$z,size= (dff$z))) +
  theme(legend.position="none") +
  coord_cartesian(xlim = c(0, 100), ylim = c(0, 100), expand = F)