Я использую ggplot2 для построения ежемесячных вертикальных профилей влажности почвы на двух участках, как для наблюдаемых, так и для смоделированных данных.
Я использую interaction
, чтобы добавить цвета к обоим факторам (month
и type
).Я также создаю две разные ручные цветовые палитры с нужными мне цветами.Вот как воспроизвести сюжет:
library(ggplot2)
df1<- structure(list(site = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L), .Label = c("IL_Shabbona_5_NNE", "ME_Limestone_4_NNW",
"ME_Old_Town_2_W", "MI_Chatham_1_SE", "MI_Gaylord_9_SSW", "MN_Goodridge_12_NNW",
"MN_Sandstone_6_W", "NY_Ithaca_13_E", "NY_Millbrook_3_W", "WI_Necedah_5_WNW"
), class = "factor"), month = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L,
6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L,
6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L,
6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L,
6L, 7L, 8L, 9L, 10L, 11L, 12L), depth = c(5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 10, 10, 10,
10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
10, 10, 10, 10, 10, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20,
20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 50, 50, 50,
50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50,
50, 50, 50, 50, 50, 100, 100, 100, 100, 100, 100, 100, 100, 100,
100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,
100, 100, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 10, 10, 10, 10,
10, 10, 10, 10, 10, 10, 10, 10, 20, 20, 20, 20, 20, 20, 20, 20,
20, 20, 20, 20, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50,
100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 10, 10, 10, 10, 10, 10, 10,
10, 10, 10, 10, 10, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20,
20, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 100, 100,
100, 100, 100, 100, 100, 100, 100, 100, 100, 100), value = c(0.38,
0.4, 0.37, 0.32, 0.29, 0.3, 0.24, 0.28, 0.24, 0.26, 0.32, 0.39,
0.13, NaN, 0.13, 0.12, 0.1, 0.1, 0.06, 0.07, 0.09, 0.1, 0.12,
0.13, 0.39, 0.39, 0.37, 0.35, 0.33, 0.31, 0.27, 0.29, 0.27, 0.28,
0.34, 0.38, 0.1, NaN, 0.12, 0.11, 0.09, 0.09, 0.05, 0.06, 0.09,
0.09, 0.11, 0.11, 0.39, 0.41, 0.38, 0.35, 0.34, 0.32, 0.29, 0.33,
0.31, 0.3, 0.34, 0.36, 0.1, NaN, 0.1, 0.1, 0.09, 0.08, 0.05,
0.05, 0.08, 0.08, 0.1, 0.1, 0.32, 0.31, 0.33, 0.34, 0.36, 0.34,
0.29, 0.33, 0.32, 0.31, 0.32, 0.33, 0.06, 0.06, 0.07, 0.06, 0.06,
0.05, 0.03, 0.03, 0.04, 0.05, 0.06, 0.06, 0.4, 0.4, 0.41, 0.41,
0.45, 0.47, 0.43, 0.4, 0.39, 0.38, 0.38, 0.4, 0.05, 0.05, 0.05,
0.06, 0.05, 0.05, 0.04, 0.04, 0.05, 0.05, 0.06, 0.05, 0.35, 0.35,
0.36, 0.33, 0.29, 0.28, 0.27, 0.26, 0.26, 0.28, 0.3, 0.36, 0.35,
0.35, 0.36, 0.33, 0.29, 0.28, 0.27, 0.27, 0.27, 0.28, 0.3, 0.35,
0.34, 0.35, 0.35, 0.34, 0.3, 0.29, 0.28, 0.28, 0.28, 0.29, 0.3,
0.34, 0.28, 0.29, 0.3, 0.32, 0.31, 0.3, 0.29, 0.29, 0.29, 0.3,
0.3, 0.29, 0.26, 0.27, 0.27, 0.29, 0.29, 0.29, 0.28, 0.28, 0.28,
0.29, 0.29, 0.28, 0.38, 0.38, 0.39, 0.38, 0.31, 0.3, 0.29, 0.29,
0.3, 0.31, 0.35, 0.39, 0.36, 0.36, 0.37, 0.37, 0.31, 0.31, 0.29,
0.3, 0.3, 0.31, 0.33, 0.37, 0.37, 0.37, 0.37, 0.38, 0.32, 0.32,
0.31, 0.31, 0.31, 0.32, 0.33, 0.37, 0.31, 0.32, 0.32, 0.34, 0.33,
0.32, 0.31, 0.31, 0.32, 0.32, 0.31, 0.3, 0.27, 0.28, 0.28, 0.29,
0.31, 0.3, 0.3, 0.29, 0.3, 0.3, 0.3, 0.28), type = rep(c("observed","modeled"), each=120)), class = "data.frame", row.names = c(NA,
-240L))
# Create blue and red palettes
mypal.blue <- colorRampPalette(RColorBrewer::brewer.pal(6,"PuBu"))
mypal.red <- colorRampPalette(RColorBrewer::brewer.pal(6,"YlOrRd"))
# Plot
ggplot(df1, aes(x=value, y=-depth, colour=interaction(as.factor(month),type))) +
geom_path(size=1) + geom_point(size=0.7) +
facet_wrap(~ site, nrow=3) +
theme_bw(base_size=20) +
scale_colour_manual(values=c(mypal.blue(12),mypal.red(12))) +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank()) +
theme(legend.title=element_blank()) + theme(legend.position = c(0.75, 0.13))
Однако легенда - полный беспорядок.
Я хотел бы создать две отдельные легенды, на основе этого примера.
- один показывает оранжевый для наблюдаемого и синий для смоделированного
- другой показывает фактические цветовые градиенты и месяцы (в идеале с первой буквой вместо цифр)
Как создавать такие легенды?