R ggplot2条形图勾号位置和自定义图例问题

我有一个像这样的ggplo条形图

创建于

library(lubridate)
library(ggplot2)
library(grid)
library(scales)

### Set up dummy data.
dayVec     <- seq(ymd('2016-01-01'), ymd('2016-01-10'), by = '1 day')
dayCount   <- length(dayVec)
dayValVec1 <- c(0,-0.25,0.15,0.3,0.4,0.10,0.17,0.22,0.50,0.89)
dayValVec2 <- c(0.15,0.2,-0.17,0.6,0.16,0.41,0.55,0.80,0.90,1.00)
dayValVec3 <- dayValVec2
dayDF      <- data.frame(Date = rep(dayVec, 3),
                     DataType = factor(c(rep('A', dayCount), rep('B',     dayCount), rep('C', dayCount))),
                     Value = c(dayValVec1, dayValVec2, dayValVec3))

p <- ggplot(dayDF,aes(Date, Value, colour = DataType)) +
theme_bw() +
ggtitle("Chart Title \n") +
scale_color_manual("",values = c("#033563", "#E1E2D2"),labels = c("xxx ", "yyy     ")) +
geom_rect(aes(xmin = ymd(min(dayDF$Date)), 
            xmax = ymd('2016-01-06'),
            ymin = -Inf,
            ymax = Inf
), fill = "#E1E2D2", alpha = 0.1, colour = "#E1E2D2") +
geom_bar(stat = "identity", fill = "#033563", colour = "#033563") +
geom_hline(yintercept = 0, size = 1) +
scale_x_datetime(expand = c(0,0), labels = date_format('%b-%d'), breaks =  date_breaks('1 day')) +
scale_y_continuous(expand = c(0,0), labels = percent, limits =  c(min(dayDF$Value)*1.2, max(dayDF$Value)*1.2)) +
theme(axis.text.x  = element_text(angle = 90), 
    axis.title.x = element_blank(), 
    axis.title.y = element_blank(),
    panel.grid.minor = element_blank(),
    panel.grid.major.x = element_blank(),
    panel.grid.major.y = element_line(size = 0.5, colour = "black"),
    axis.line  = element_line(size = 1),
    axis.ticks = element_line(size = 1),
    axis.text  = element_text(size = 20, colour = "#033563"),
    axis.title.x = element_text(hjust = 2),
    plot.title = element_text(size = 40, face = "bold", colour = "#033563"),
    legend.position = 'bottom',
    legend.text = element_text(colour = "#033563", size = 20),
    legend.key  = element_blank(),
    panel.border = element_rect(colour = "black", fill = NA, size = 1.5)
)
p

库（lubridate）
图书馆（GG2）
图书馆（网格）
图书馆（比例尺）
###设置虚拟数据。
dayVec这里有一个解决方案：


由于格式问题，
geom_rect（）
出现第一个问题
我更喜欢
POSIXct
，因此可以轻松修改x轴：

geom_rect(aes(xmin = as.POSIXct("2015-12-31 12:00:00"), 
        xmax = as.POSIXct("2016-01-06 12:00:00"),
        ymin = -Inf,
        ymax = Inf, 
        fill = "#E1E2D2"),
        color = "#E1E2D2", alpha = 0.1)

提示：如果您想完全填充2006年1月，请启动
“2015-12-31 12:00:00”
以展开
geom_rect（）
，并结束
“2016-01-06 12:00:00”


传奇
您应该使用
scale\u fill\u manual（）
而不是
scale\u color\u manual（）


您必须在
geom_rect（）
和
geom_bar（）的
aes
中放入
fill
参数


代码：

库（lubridate）
图书馆（GG2）
图书馆（网格）
图书馆（比例尺）
dayVec我在运行代码时收到此错误消息
错误：无效输入：date\u trans仅适用于类date的对象
能否重试，我已将scale\u x\u date更改为scale\u x\u datetime。它在我这边有效，但我知道它在我的Mac电脑上造成了问题。不幸的是，这只会将所有东西向右移动，仍然保留白色垂直条纹
library(lubridate)
library(ggplot2)
library(grid)
library(scales)

dayVec     <- seq(as.POSIXct('2016-01-01'), as.POSIXct('2016-01-10'), by = '1 day')
dayCount   <- length(dayVec)
dayValVec1 <- c(0,-0.25,0.15,0.3,0.4,0.10,0.17,0.22,0.50,0.89)
dayValVec2 <- c(0.15,0.2,-0.17,0.6,0.16,0.41,0.55,0.80,0.90,1.00)
dayValVec3 <- dayValVec2
dayDF      <- data.frame(Date = rep(dayVec, 3),
                 DataType = factor(c(rep('A', dayCount), rep('B',     dayCount), rep('C', dayCount))),
                 Value = c(dayValVec1, dayValVec2, dayValVec3))
dayDF$Date = as.POSIXct(dayDF$Date)

p <- ggplot(dayDF,aes(Date, Value, colour = DataType)) +
theme_bw() +
ggtitle("Chart Title \n") +
geom_rect(aes(xmin = as.POSIXct("2015-12-31 12:00:00"), 
        xmax = as.POSIXct("2016-01-06 12:00:00"),
        ymin = -Inf,
        ymax = Inf, 
        fill = "#E1E2D2"),
        color = "#E1E2D2", alpha = 0.1) +
geom_bar(aes(fill = "#033563"), color = "#033563", stat = "identity") +
geom_hline(yintercept = 0, size = 1) +
scale_x_datetime(expand = c(0,0), labels = date_format('%b-%d'), breaks =  date_breaks('1 day')) +
scale_y_continuous(expand = c(0,0), labels = percent, limits =  c(min(dayDF$Value)*1.2, max(dayDF$Value)*1.2)) +
theme(axis.text.x  = element_text(angle = 90), 
axis.title.x = element_blank(), 
axis.title.y = element_blank(),
panel.grid.minor = element_blank(),
panel.grid.major.x = element_blank(),
panel.grid.major.y = element_line(size = 0.5, color = "black"),
axis.line  = element_line(size = 1),
axis.ticks = element_line(size = 1),
axis.text  = element_text(size = 20, color = "#033563"),
axis.title.x = element_text(hjust = 2),
plot.title = element_text(size = 40, face = "bold", colour = "#033563"),
legend.position = 'bottom',
legend.text = element_text(color = "#033563", size = 20),
legend.key  = element_blank(),
panel.border = element_rect(color = "black", fill = NA, size = 1.5)
) +
scale_fill_manual("",values = c("#033563", "#E1E2D2"),labels = c("xxx ", "yyy "))
p