我目前有两个级别的'shape'（'2 deg C'代表一个正方形，'5 deg C'代表一个圆圈）和两个级别'fill'（'high food'代表的'灰色填充和“低食物”用白色填充表示。我想添加一个图例，其中包括这些美学的四种可能组合：2°C HF，2°C LF，5°C HF和5°C LF，表示为灰色填充方形，白色填充方形，灰色圆圈，白色圆圈。
这是我目前的代码：
tank_2and5_cumulative_mort_summary$Species <- factor(tank_2and5_cumulative_mort_summary$Species, levels = c(1,2), labels = c("Later Stage Arctic Cod", "Later Stage Walleye Pollock"))
#Error bars
error_bars <- aes(ymax = mean + se, ymin = mean - se)
ggplot(tank_2and5_cumulative_mort_summary, aes(Day, mean, shape = factor(Target_Temp),fill=factor(Feeding))) +
geom_point(stat = "identity",size=3.5) +
geom_line() +
geom_hline(yintercept=50,linetype="dashed") +
annotate("text", x=25, y=46, label='italic(M[50])', size=6, parse=TRUE) +
annotate("text", x=-0.2, y=100, label=c('bold(A.)','bold(B.)'), size=6, parse=TRUE) +
scale_y_continuous(limits = c(0,100)) +
scale_shape_manual(name="Temperature (ºC)",labels=c("2 ºC","5 ºC"),values=c(22,21)) +
scale_fill_manual(name="Food Ration",labels=c("High Food","Low Food"),values=c("gray30","white")) +
xlab("Day of Experiment") +
ylab(bquote(bold('Cumulative mortality (% '~ day^-1*')'))) +
guides(fill = guide_legend(override.aes = list(shape = 21)), shape = guide_legend(override.aes = list(fill = "gray30"))) +
theme_bw() +
theme(axis.text = element_text(size = 16, color='black'), axis.title = element_text(size = 16, face = "bold"), panel.grid.major = element_blank(), panel.grid.minor = element_blank(), legend.text = element_text(size = 16), legend.title = element_text(size = 16, face = "bold"), strip.text.x = element_text(size=16,face="bold"), plot.title = element_text(size = 18, face = "bold", hjust=0.5), strip.background = element_rect(color="white",fill = "white")) +
facet_wrap(~Species,nrow=2,scales='free_x')
这是我当前情节的图像，其中包含单独的形状和填充图例： 1
这是一个可重复的例子：
structure(list(Target_Temp = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L
), Day = c(0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L,
3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L,
7L, 7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L,
11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 14L,
14L, 14L, 14L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 17L, 17L,
17L, 17L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 20L, 20L, 20L,
20L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L,
24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 0L,
0L, 0L, 0L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L,
4L, 4L, 4L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L,
8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 11L, 11L, 11L,
11L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L,
15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 18L,
18L, 18L, 18L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 21L, 21L,
21L, 21L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 24L, 24L, 24L,
24L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L), Feeding = c(1L,
1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
1L, 2L, 2L, 1L, 1L, 2L, 2L), Species = structure(c(1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L), .Label = c("Later Stage Arctic Cod", "Later Stage Walleye Pollock"
), class = "factor"), N = c(3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L),
mean = c(0, 0, 0, 0, 6.316910603, 13.2880844666667, 6.10170531233333,
14.5063518366667, 10.804416043, 18.2051282033333, 14.6413527966667,
16.8423777966667, 20.9915481366667, 22.3730517833333, 28.2392753433333,
24.7158934, 22.8209532966667, 23.2277526366667, 37.4549135066667,
30.1798536333333, 27.3714468933333, 24.8667672166667, 47.22038196,
34.7369511166667, 30.03811356, 27.8667672166667, 49.8870486266667,
38.4036177833333, 35.6859754033333, 31.2151835133333, 54.24806772,
40.9771471966667, 38.8871481233333, 33.6033182533333, 56.06624954,
43.7091273133333, 42.08832085, 35.2071392666667, 59.8212080333333,
46.51463684, 43.9919375166667, 40.15937657, 60.4622336733333,
47.8909831533333, 44.6092214666667, 42.58270488, 61.1032593166667,
48.30764982, 45.8437893666667, 45.8959276, 61.1032593166667,
51.87296327, 46.4610733166667, 49.60130719, 61.6880546366667,
54.5200220933333, 48.9189857766667, 52.4519859233333, 62.3290802766667,
60.1158519733333, 49.5992578866667, 59.96832579, 66.0840387666667,
63.2852112666667, 49.5992578866667, 62.0698843633333, 66.72506441,
64.6615575833333, 49.5992578866667, 63.7088989433333, 67.36609005,
65.9643744833333, 49.5992578866667, 67.4494720966667, 69.1417413,
67.3614333066667, 50.2795299933333, 68.73152338, 69.7478019066667,
68.8113090333333, 50.2795299933333, 69.9783810966667, 70.3325972266667,
70.7513808333333, NaN, 72.0799396666667, NaN, 74.5372825166667,
NaN, 72.5072900966667, NaN, 74.9539491833333, NaN, 72.9346405233333,
NaN, 75.7872825166667, NaN, 74.5736551, NaN, 77.09009942,
NaN, 75.39316239, NaN, 77.09009942, NaN, 75.39316239, NaN,
77.09009942, 0, 0, 0, 0, 6.613756614, 2.88065843633333, 14.9853801146667,
4.88582018166667, 21.507936508, 4.938271605, 25.7901698666667,
7.72895743633333, 32.4338624333333, 7.40740740733333, 35.9335839566667,
11.7874222853333, 36.7460317466667, 9.46502057433333, 43.9049011433333,
14.2527498803333, 37.2751322766667, 12.3456790133333, 47.3997493733333,
17.8802008603333, 38.60846561, 14.01234568, 47.7330827066667,
18.8802008603333, 42.41798942, 18.1275720133333, 47.7330827066667,
26.9176231466667, 44.5873015866667, 25.5349794233333, 51.2174881633333,
32.5961262566667, 48.9523809533333, 29.23868313, 53.5775549966667,
37.8352462933333, 50.0634920633333, 31.2962962966667, 54.16235032,
41.06456241, 52.78835979, 35.4115226333333, 55.3319409633333,
43.9017216633333, 55.5132275166667, 40.3497942366667, 56.4458368133333,
47.5722142533333, 56.0423280433333, 43.2304526766667, 61.70899471,
48.80188905, 56.5714285733333, 47.3456790133333, 62.8890281233333,
52.0557149666667, 59.9047619033333, 50.6378600833333, 65.1168198266667,
54.0308464866667, 63.2380952366667, 53.1069958833333, 67.3550543033333,
58.56934481, 65.3544973533333, 57.6337448566667, 69.00849346,
59.81934481, 68.60846561, 61.7489711933333, 69.6037315533333,
61.4268292666667, 72.4444444466667, 66.6872428, 69.6037315533333,
63.87183166, NaN, 72.0370370333333, NaN, 66.2923242466667,
NaN, 76.56378601, NaN, 66.69882831, NaN, 77.3868312766667,
NaN, 67.9039933033333, NaN, 80.26748971, NaN, 69.1539933033333,
NaN, 83.1481481466667, NaN, 71.9666427566667, NaN, 84.38271605,
NaN, 72.3833094233333, NaN, 85.2057613166667, NaN, 75.2162840733333
), sd = c(0, 0, 0, 0, 0.874946380374836, 3.21917779550928,
1.04522569941729, 6.16803477118, 1.49556920069362, 4.74878440292428,
3.12246139797711, 7.10523995814722, 3.9765349552553, 3.97438997786273,
7.74317862106826, 9.52930224175235, 3.75711247762319, 3.85501596227901,
9.72189321741946, 10.5131247007767, 6.31929872007114, 2.71075316746443,
10.5220768461455, 12.718286386903, 6.68623915517232, 3.04413120198825,
11.0986529430163, 13.2032228288885, 5.11752403494854, 2.01510177097222,
13.5905284444751, 10.1736126920253, 4.83940555870643, 4.78902174062332,
14.9172021670437, 11.2248102126018, 4.85706196771701, 6.44932982135379,
16.8824360091378, 12.654988628294, 4.95087415865093, 7.25754637594045,
17.6100519005675, 12.7174062928319, 4.05937578271578, 9.37022989516587,
18.3759814337981, 12.1789583794603, 2.69666384909201, 9.68532467289556,
18.3759814337981, 12.34539641926, 2.46942974676307, 11.1059883712979,
17.3990190625204, 9.94929987930963, 3.09095660399878, 12.835743712853,
18.2106975912416, 8.8711946391549, 3.31401725549042, 13.2082642443798,
20.8946175996798, 8.84238080778593, 3.31401725549042, 13.43915519733,
21.8065585516555, 8.80175008781921, 3.31401725549042, 13.8906473958853,
22.7361480934535, 9.63856327060737, 3.31401725549042, 12.1627388108535,
20.9850835175516, 8.17075309364404, 3.89718216741624, 10.8838675082689,
21.0601993519721, 7.24898490800861, 3.89718216741624, 10.1634650890434,
20.1426607899407, 5.88285387324051, NA, 11.0022775157161,
NA, 6.02674810623141, NA, 10.2994184473947, NA, 5.6387873628524,
NA, 9.60217166167771, NA, 5.0861953657389, NA, 9.3624429585716,
NA, 5.62081253377385, NA, 9.32210276006274, NA, 5.62081253377385,
NA, 9.32210276006274, NA, 5.62081253377385, 0, 0, 0, 0, 3.4130060152249,
1.42555622052779, 5.10722096742217, 1.36031076674339, 10.411960387716,
1.234567901, 7.1312471736126, 3.23840241134935, 10.353214405732,
2.13833433050301, 7.74380072384587, 5.70125345431274, 8.21457326458282,
4.6739986359138, 10.3884569723183, 7.67596804199393, 7.43932089721875,
3.26635964569273, 13.4185821185945, 10.1244770438109, 7.4208060976192,
3.67036435135213, 13.260809662063, 10.1244770438109, 5.97174276271196,
4.21058850347649, 13.260809662063, 10.9427025641944, 5.15965803190317,
2.35282645412571, 14.6336833418929, 7.49002889199581, 4.56423044331738,
2.3528264490447, 15.4797281897624, 8.69066334506041, 5.50001717565586,
1.75842518551224, 14.9532265351562, 8.29501898064852, 5.37158742704296,
5.30175167809815, 14.0608933607649, 7.58558969679427, 6.43212391215584,
4.32134625378667, 13.1171116487744, 7.74815703108229, 5.81278279331372,
6.08981616177995, 12.9319432355214, 6.89546536178341, 5.28056377247449,
6.99235325954397, 13.940366472244, 6.8264498267838, 8.36348287376577,
8.09108652040442, 12.9288073935427, 6.86861633789757, 10.5309176584841,
8.09108652040442, 12.1197965702862, 9.9697393650369, 7.85828648432097,
6.39978296241699, 10.8954843008132, 11.8879417886052, 7.85548055882995,
8.96758998228674, 11.5612455041564, 11.8655152508709, 7.42617991430518,
7.80340997976923, 11.5612455041564, 11.3756358937427, NA,
5.95526430951861, NA, 10.1912263707779, NA, 5.70205113907211,
NA, 9.65109867906726, NA, 5.24684580067051, NA, 8.46380371035579,
NA, 4.53979228404506, NA, 10.5532458684488, NA, 3.8348588411187,
NA, 9.22606458800838, NA, 3.83485884477264, NA, 9.92447971782915,
NA, 3.64396960245818, NA, 11.0144885987119), se = c(0, 0,
0, 0, 0.505150528235901, 1.85859316680655, 0.603461338922486,
3.56111653551174, 0.863467280612173, 2.74171195335183, 1.8027539286563,
4.10221220249319, 2.29585352685861, 2.2946151235836, 4.47052626125712,
5.50174521446502, 2.16916990033145, 2.22569450355209, 5.61293766610992,
6.06975537601754, 3.64844881712273, 1.56505407094222, 6.07492389955605,
7.34290606910919, 3.86030197610495, 1.75752996891646, 6.40781026429271,
7.62288425442937, 2.95460387916192, 1.1634195499153, 7.84649525584698,
5.87373802637182, 2.79403210203693, 2.76494299110384, 8.61245068669875,
6.48064719784809, 2.80422603453211, 3.72352230845129, 9.74707897445231,
7.30636109113718, 2.85838852822108, 4.19014635380541, 10.1671682052359,
7.34239794656033, 2.34368170089281, 5.4099047523427, 10.6093778274269,
7.03152489883066, 1.5569195991872, 5.59182480708517, 10.6093778274269,
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