线ggplot2周围的缓冲区
我想要一张图表，作为一年中某一天的函数，在x和y轴（每个轴都是一个单独的度量标准）中，从0 - > 100％前进。 根据数据相对于一年中的某一天的情况，我想说明这是好还是不好。 很简单，我可以像这样展示它： 
所以上面的图表显示我们处于良好的状态，因为“小费”（最黑暗的最大分数）超过了50％的标准（并且假设我们在一年中是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。 下面是对这些区域的解释（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。
这是我进入ggplot多远：
我遇到的问题：
问题1-2是否可以解决？ 如果任何人有更好的方法不使用geom_line ，请随时提出建议。
编辑：随着线条的移动，渐变也将如此，所以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”的线条更改渐变，我不得不再捣乱它，所以我将它粘贴到这里以防万一它对任何人都有用：
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)
如果我是你，我会通过grid package制作矩形， grid使用annotation_custom()将它们放在图上。 （你的问题1是由于重叠，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)
[EDITED]
这里是我的方法来保持相同程度的渐变为每一个年份（我提到@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)
如果你需要， SpaDES::divergentColors()为你提供一个非对称范围的颜色矢量（可能有些包有类似的功能）。
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)
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