将多个阴影/矩形添加到ggplot2图形
我想在ggplot2图上添加多个阴影/矩形.在这个可重复的例子中,我只添加3,但我可能需要使用完整数据加起来一百.
这是我的原始数据的一个子集 - 在一个名为的数据框中temp- dput位于问题的底部:
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
我可以像这样制作一个ggplot:
p <- ggplot(temp, aes(Season,value, color=group)) + geom_point(size=4, shape=19) +
scale_color_manual(values=c("red", "gray55"))
p
现在,我想添加阴影.每个阴影将以季节列中开始一系列日期的季节开始,并以季节列中日期行中的最后一个日期/季节结束.最后,每个阴影应该用'tier'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Season变量中一系列NA的结束后的第一个观察,以及在一组NA中的第一个NA之前获得观察.然后我分别添加和减去0.5,这给了我另一个数据帧(tempindex),如下所示:
# 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
我可以像这样手动添加阴影:
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)
它给出了所需的输出:
但是,当我有大量的阴影/矩形应用时,我显然不希望手动写出这一百次.我想看看我能否以自动化的方式做到这一点.我尝试了一个for循环(没有尝试逐层调整颜色)非常不成功...
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)
}
这显然不是首发.我想知道是否有人有任何想法？
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 对于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")
bap*_*ste 11
通过合适的映射,最好只使用一个图层,
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")
