根据月份阴影背景的ggplot

Question

此代码：

df <- data.frame(day <- 0:365, value = 1)
library(ggplot2)
ggplot(df, aes(day, value)) + geom_blank() + scale_x_continuous(breaks = seq(0, 365, 10)) + theme_bw()

制作此情节：

使用R代码，我想根据哪个day落在哪个月的阴影背景。我希望情节看起来如下（情节背景是Photoshop）。我对使用lubridate的解决方案特别感兴趣。

Answer 1

以下是使用geom_raster的解决方案的一部分。

library(lubridate)
library(ggplot2)

x <- seq(from = as.Date("2000/1/1"), to = as.Date("2000/12/31"), "day")
xy <- data.frame(datum = x, day = day(x), month = month(x), seq.day = 1:length(x), 
                 month.ind = rep(rep(0:1, 6), times = rle(xy$month)$lengths))

ggplot(xy, aes(x = seq.day, y = 1, fill = as.factor(month.ind))) +
  theme_bw() +
  scale_fill_manual(values = c("black", "white")) +
  scale_x_continuous(breaks = seq(0, 365, 10)) +
  geom_raster(alpha = 0.3, show_guide = FALSE)

Answer 2

可能不是最佳的，但我认为它对您有用：

df <- data.frame(day = 1:365, value = 1)
#do some data manipulation. Calculate as date
df$date <- as.Date(df$day, origin="2014-12-31")
str(df)

df$month <- month(df$date)
df$month_name <- month(df$date,label=T)
#calculate color 
df$month_color <- ifelse(df$month %% 2,"black","white")

#make plot using geom_bar and scale_fill/colour_identity()
plot2 <- ggplot(df, aes(x=day, y=value)) + 
  geom_bar(stat="identity",aes(fill=month_color,color=month_color))+
  scale_fill_identity() +
  scale_color_identity() +
  scale_x_continuous(breaks = seq(0, 365, 10)) +
  theme_bw() +
  theme(panel.grid=element_blank())

#make data for plotting months as geom_txt
month_df <- do.call(rbind,lapply(split(df,df$month_name),function(x){
  return(x[1,])
}))
month_df

plot2 + geom_text(data=month_df, aes(x=day+15, y=value-0.05, label=month_name),color="red")