[解決済み] 色と形に関する凡例を1つの凡例にまとめる

質問

2×2の研究計画からggplotでプロットを作成しています。4つの異なる治療の組み合わせを分類するために、2つの色と2つのシンボルを使用したいと思います。 現在、私は2つの凡例、1つは色、もう1つは2つの図形を持っています。 1つの青い円、1つの赤い円、1つの青い三角形、および1つの読みの三角形があるように、それらを1つの凡例に結合するにはどうすればよいですか？

いくつかのデータ。

state1 <- c(rep(c(rep("N", 7), rep("Y", 7)), 2))
year <- rep(c(2003:2009), 4)
group1 <- c(rep("C", 14), rep("E", 14))
group2 <- paste(state1, group1, sep = "")
beta <- c(0.16,0.15,0.08,0.08,0.18,0.48,0.14,0.19,0.00,0.00,0.04,0.08,0.27,0.03,0.11,0.12,0.09,0.09,0.10,0.19,0.16,0.00,0.11,0.07,0.08,0.09,0.19,0.10)
    lcl <- c(0.13,0.12,0.05,0.05,0.12,0.35,0.06,0.13,0.00,0.00,0.01,0.04,0.20,0.00,0.09,0.09,0.06,0.06,0.07,0.15,0.11,0.00,0.07,0.03,0.05,0.06,0.15,0.06)
    ucl <- c(0.20,0.20,0.13,0.14,0.27,0.61,0.28,0.27,0.00,1.00,0.16,0.16,0.36,0.82,0.14,0.15,0.13,0.13,0.15,0.23,0.21,0.00,0.15,0.14,0.12,0.12,0.23,0.16)
data <- data.frame(state1,year,group1,group2,beta,lcl,ucl)

プロット

library(ggplot2)
pd <- position_dodge(.65)
ggplot(data = data, aes(x = year, y = beta, colour = state1, group = group2, shape = group1)) +
  geom_point(position = pd, size = 4) +
  geom_errorbar(aes(ymin = lcl, ymax = ucl),colour = "black", width = 0.5, position = pd) +
  scale_colour_hue(name = "Treatment & State",  #Legend label, use darker colors
                   labels = c("Control", "Exclosure"),
                   l = 40) +
  scale_shape(name = "State", labels = c("Non-F", "Flwr"))

どのように解決するのですか？

同じ name と labels の値は、シェイプとカラースケールの両方に適用されます。

pd <- position_dodge(.65)
ggplot(data = data,aes(x= year, y = beta, colour = group2, shape = group2)) +    
  geom_point(position = pd, size = 4) +
  geom_errorbar(aes(ymin = lcl, ymax = ucl), colour = "black", width = 0.5, position = pd) +
  scale_colour_manual(name = "Treatment & State",
                      labels = c("Control, Non-F", "Control, Flwr", "Exclosure, Non-F", "Exclosure, Flwr"),
                      values = c("blue", "red", "blue", "red")) +   
  scale_shape_manual(name = "Treatment & State",
                     labels = c("Control, Non-F", "Control, Flwr", "Exclosure, Non-F", "Exclosure, Flwr"),
                     values = c(19, 19, 17, 17))

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