将多个阴影/矩形添加到ggplot2图

问题描述：

我想通过ggplot2图添加多个阴影/矩形。在这个可重复的例子中，我只添加了3个，但是我可能需要使用完整数据添加到100个。将多个阴影/矩形添加到ggplot2图

这里是我的原始数据的一个子集 - 在一个数据帧称为temp - 的dput是在问题的底部：

 Season tier group value 
NA  NA NA <NA> NA 
99  1948 2 Wins 20 
101 1948 2 Losses 17 
NA.1  NA NA <NA> NA 
NA.2  NA NA <NA> NA 
104 1951 2 Wins 21 
106 1951 2 Losses 18 
107 1952 2 Wins 23 
109 1952 2 Losses 18 
110 1953 2 Wins 25 
112 1953 2 Losses 18 
113 1954 2 Wins 26 
115 1954 2 Losses 19 
116 1955 2 Wins 26 
118 1955 2 Losses 19 
119 1956 2 Wins 26 
121 1956 2 Losses 20 
NA.3  NA NA <NA> NA 
123 1958 1 Wins 27 
125 1958 1 Losses 20 
126 1959 1 Wins 27 
128 1959 1 Losses 21 
129 1960 1 Wins 28 
131 1960 1 Losses 21 
132 1961 1 Wins 30 
134 1961 1 Losses 21 
135 1962 1 Wins 30 
137 1962 1 Losses 23 
138 1963 1 Wins 31 
140 1963 1 Losses 23 
141 1964 1 Wins 32 
143 1964 1 Losses 23 
144 1965 1 Wins 34 
146 1965 1 Losses 23 
NA.4  NA NA <NA> NA

我可以做这样的ggplot：

p <- ggplot(temp, aes(Season,value, color=group)) + geom_point(size=4, shape=19) + 
    scale_color_manual(values=c("red", "gray55")) 
p

plot without shadows

现在，我想添加阴影。每个阴影将以Season开始，季节开始在季节列中进行日期运行，并以季节列中日期运行中的最后一个日期/季节结束。最后，每个阴影应该由'层'变量着色。 'tier == 2'为绿色，'tier == 1'为蓝色。

我已经使用了rle函数加上一些额外的脚本来提取季节变量中的NAs运行结束后的第一个观察结果，以及在运行NAs中的第一个NA之前获得观察结果。然后，我刚添加和减去0.5分别，这使我另一个数据帧（tempindex）所示：

# xmin xmax ymin ymax 
#5 1947.5 1948.5 -Inf Inf 
#6 1950.5 1956.5 -Inf Inf 
#7 1957.5 1965.5 -Inf Inf

我可以手动添加阴影像这样：

t2.rect1 <- data.frame (xmin=1947.5, xmax=1948.5, ymin=-Inf, ymax=Inf) 
t2.rect2 <- data.frame (xmin=1950.5, xmax=1956.5, ymin=-Inf, ymax=Inf) 
t1.rect1 <- data.frame (xmin=1957.5, xmax=1965.5, ymin=-Inf, ymax=Inf) 

p + 
    geom_rect(data=t2.rect1, aes(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax), fill="green", alpha=0.1, inherit.aes = FALSE) + 
    geom_rect(data=t2.rect2, aes(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax), fill="green", alpha=0.1, inherit.aes = FALSE) + 
    geom_rect(data=t1.rect1, aes(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax), fill="blue", alpha=0.1, inherit.aes = FALSE)

其给出所期望的输出：

image with Shadows

不过，我显然不希望手动情况下写出此一百倍时，我有很多阴影/ R要应用的矩形。我期待看看我能否以自动化的方式做到这一点。我尝试了for环路（不含试图调整按层级颜色）很失败......

grect <-vector("list", nrow(indextemp)) #vector for storing geom_rects 

for (i in 1:nrow(indextemp)){ 
grect[[i]] <- geom_rect(data=temp[i], aes(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax), alpha=0.1, inherit.aes = FALSE) 
}

这显然是一个非首发。我想知道有没有人有任何想法？

dput对于临时数据帧：

structure(list(Season = c(NA, 1948L, 1948L, NA, NA, 1951L, 1951L, 
1952L, 1952L, 1953L, 1953L, 1954L, 1954L, 1955L, 1955L, 1956L, 
1956L, NA, 1958L, 1958L, 1959L, 1959L, 1960L, 1960L, 1961L, 1961L, 
1962L, 1962L, 1963L, 1963L, 1964L, 1964L, 1965L, 1965L, NA), 
    tier = c(NA, 2L, 2L, NA, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, NA), group = structure(c(NA, 
    1L, 3L, NA, NA, 1L, 3L, 1L, 3L, 1L, 3L, 1L, 3L, 1L, 3L, 1L, 
    3L, NA, 1L, 3L, 1L, 3L, 1L, 3L, 1L, 3L, 1L, 3L, 1L, 3L, 1L, 
    3L, 1L, 3L, NA), .Label = c("Wins", "Draws", "Losses"), class = "factor"), 
    value = c(NA, 20L, 17L, NA, NA, 21L, 18L, 23L, 18L, 25L, 
    18L, 26L, 19L, 26L, 19L, 26L, 20L, NA, 27L, 20L, 27L, 21L, 
    28L, 21L, 30L, 21L, 30L, 23L, 31L, 23L, 32L, 23L, 34L, 23L, 
    NA)), .Names = c("Season", "tier", "group", "value"), row.names = c("NA", 
"99", "101", "NA.1", "NA.2", "104", "106", "107", "109", "110", 
"112", "113", "115", "116", "118", "119", "121", "NA.3", "123", 
"125", "126", "128", "129", "131", "132", "134", "135", "137", 
"138", "140", "141", "143", "144", "146", "NA.4"), class = "data.frame")

dput为tempindex数据帧：

structure(list(xmin = c(1947.5, 1950.5, 1957.5), xmax = c(1948.5, 
1956.5, 1965.5), ymin = c(-Inf, -Inf, -Inf), ymax = c(Inf, Inf, 
Inf)), .Names = c("xmin", "xmax", "ymin", "ymax"), row.names = 5:7, class = "data.frame")

答

，最好只使用一个层，用合适的映射，

tempindex <- transform(tempindex, 
         id = 1:3, 
         tier = c(1,1,2)) 


ggplot(temp, aes(Season,value, color=group)) + 
    geom_rect(data=tempindex, inherit.aes=FALSE, 
      aes(xmin=xmin,xmax=xmax,ymin=ymin,ymax=ymax, 
       group=id, fill = factor(tier)), alpha=0.2)+ 
    geom_point(size=4, shape=19) + 
    scale_color_manual(values=c("red", "gray55"))+ 
    scale_fill_manual(values=c("green", "blue")) + 
    guides(fill="none")

enter image description here

将多个阴影/矩形添加到ggplot2图

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