AData sample已提供，请滚动到底部
我已按照这些说明进行操作进行操作，但无法使其与我的脚本一起运行。他们似乎正在使用 labs() 而不是我在下面使用的方法。
我制作了这个情节：
但是，我希望文本的不同部分使用不同的字体大小。我在 Photoshop 中编辑了以下内容，描绘了我正在寻找的结果。
我使用了以下脚本：
ggplot(as.data.frame(out), aes(x = n.fjernet)) + theme +
geom_ribbon(aes(fill = model, ymin = lower, ymax = upper), alpha = .1) +
geom_line(aes(y = yhat, col = model),size=1) +
ggtitle("Lymph node yield") +
geom_segment(aes(x = 0, y = 1, xend = 100, yend = 1), lty="dashed", size=0.5) +
geom_segment(aes(x = 25, y = 1, xend = 25, yend = 0.5), lty="dashed", size=0.5, col="black") +
geom_point(mapping = aes(x = 25, y = 1), size=2, shape=16, col="black", alpha=0.5) +
scale_fill_manual(values = c("#DAE5F2", "#F9E7E5","#E4F2F3","#FAF1D9"), name = "",
labels = c("Overall survival\nNot adjusted to metastatic burden", "Event-free survival\nNot adjusted to metastatic burden","Overall survival\nAdjusted to metastatic burden", "Event-free survival\nAdjusted to metastatic burden")) +
scale_colour_manual(values = c("#2C77BF", "#E38072","#6DBCC3","#E1B930"), name = "",
labels = c("Overall survival\nNot adjusted to metastatic burden", "Event-free survival\nNot adjusted to metastatic burden","Overall survival\nAdjusted to metastatic burden", "Event-free survival\nAdjusted to metastatic burden")) +
scale_x_continuous(name="", breaks=seq(0,100,by=25), limits=c(0,100), label=c("0","25\nas reference","50", "75", "100")) +
scale_y_continuous(name="Hazard ratio", breaks = seq(0.5,1.2,by=.1)) +coord_cartesian(ylim=c(0.5,1.25)) +
theme(axis.text.x = element_text(color = "grey20", size =11),
axis.title.x = element_text(color = "grey20", size = 14, face="bold", margin=ggplot2::margin(t=12)),
axis.text.y = element_text(color = "grey20", size = 11),
axis.title.y = element_text(color = "grey20", size = 14, face="bold", margin=ggplot2::margin(r=12)),
legend.key = element_rect(fill = "white"),
plot.title = element_text(color = "grey20", size = 18,face="bold",hjust = 0.5),
plot.subtitle = element_text(hjust = 0.5),
legend.text=element_text(size=12), legend.title=element_text(size=14), legend.position="top") +
guides(fill=guide_legend(nrow=2,byrow=TRUE))
数据样本
out <- structure(list(model = c("1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "3",
"3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3",
"3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3",
"3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3",
"3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3",
"3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3",
"3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3",
"3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "3",
"3", "3", "3", "3", "3", "3", "3", "3", "3", "4", "4", "4", "4",
"4", "4", "4", "4", "4", "4", "4", "4", "4", "4", "4", "4", "4",
"4", "4", "4", "4", "4", "4", "4", "4", "4", "4", "4", "4", "4",
"4", "4", "4", "4", "4", "4", "4", "4", "4", "4", "4", "4", "4",
"4", "4", "4", "4"), n.fjernet = c(0, 1, 2, 3, 4, 5, 6, 7, 8,
9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24,
25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40,
41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56,
57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72,
73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88,
89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 0, 1, 2, 3,
4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20,
21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,
37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52,
53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68,
69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84,
85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100,
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81,
82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97,
98, 99, 100, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30,
31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46
), yhat = c(1.06995503357619, 1.06706507368365, 1.06418291960344,
1.06130855025195, 1.05844194460257, 1.05558308168545, 1.05273194058739,
1.04988850045166, 1.0470527404779, 1.0442246399219, 1.0414041780955,
1.0385913343664, 1.03578608815804, 1.03298841894944, 1.03019830627504,
1.02741572972456, 1.02464066894286, 1.02187310362975, 1.01911301353991,
1.01636037848267, 1.01361517832191, 1.0108773929759, 1.00814700241714,
1.00542398667224, 1.00270832582174, 1, 0.997298989395025, 0.994605274248338,
0.991918834854829, 0.989239651562611, 0.986567704772878, 0.983902974939761,
0.981245442570182, 0.978595088223716, 0.975951892512447, 0.973315836100825,
0.970686899705527, 0.968065064095311, 0.965450310090884, 0.962842618564752,
0.960241970441086, 0.957648346695583, 0.955061728355321, 0.952482096498627,
0.949909432254935, 0.947343716804649, 0.944784931379003, 0.942233057259927,
0.93968807577991, 0.937149968321859, 0.93461871631897, 0.932094301254584,
0.929576704662058, 0.927065908124628, 0.924561893275272, 0.92206464179658,
0.919574135420615, 0.917090355928783, 0.914613285151699, 0.912142904969053,
0.909679197309478, 0.90722214415042, 0.904771727518001, 0.902327929486893,
0.899890732180184, 0.897460117769246, 0.895036068473609, 0.892618566560827,
0.890207594346348, 0.887803134193389, 0.885405168512802, 0.88301367976295,
0.880628650449572, 0.878250063125662, 0.87587790039134, 0.873512144893719,
0.871152779326786, 0.868799786431271, 0.86645314899452, 0.864112849850372,
0.86177887187903, 0.859451198006942, 0.857129811206666, 0.854814694496757,
0.852505830941632, 0.850203203651456, 0.847906795782009, 0.845616590534571,
0.843332571155794, 0.841054720937581, 0.838783023216965, 0.836517461375982,
0.834258018841559, 0.832004679085382, 0.829757425623784, 0.827516242017617,
0.825281111872138, 0.823052018836886, 0.820828946605561, 0.818611878915908,
0.816400799549598, 1.09390435986962, 1.08998414105606, 1.08607797110829,
1.08218579967948, 1.07830757660322, 1.07444325189287, 1.07059277574093,
1.06675609851842, 1.06293317077417, 1.05912394323428, 1.05532836680139,
1.0515463925541, 1.04777797174635, 1.04402305580675, 1.04028159633797,
1.03655354511615, 1.03283885409023, 1.02913747538134, 1.02544936128221,
1.02177446425654, 1.01811273693838, 1.01446413213151, 1.01082860280888,
1.00720610211193, 1.00359658335007, 1, 0.996416305705164, 0.992845454275126,
0.989287399684986, 0.985742096074781, 0.982209497748898, 0.978689559175481,
0.975182234985848, 0.971687479973904, 0.968205249095557, 0.964735497468143,
0.96127818036984, 0.957833253239098, 0.95440067167406, 0.950980391431994,
0.947572368428718, 0.944176558738035, 0.940792918591168, 0.93742140437619,
0.93406197263747, 0.930714580075105, 0.927379183544369, 0.924055740055151,
0.920744206771404, 0.917444541010594, 0.914156700243146, 0.910880642091898,
0.907616324331556, 0.904363704888149, 0.901122741838484, 0.89789339340961,
0.894675617978277, 0.891469374070399, 0.888274620360521, 0.885091315671288,
0.881919418972907, 0.878758889382628, 0.875609686164211, 0.872471768727401,
0.869345096627407, 0.866229629564379, 0.863125327382891, 0.86003215007142,
0.856950057761833, 0.853879010728873, 0.850818969389643, 0.847769894303103,
0.844731746169555, 0.84170448583014, 0.838688074266332, 0.835682472599437,
0.832687642090087, 0.829703544137748, 0.826730140280216, 0.823767392193125,
0.82081526168945, 0.817873710719019, 0.814942701368018, 0.812022195858507,
0.809112156547929, 0.806212545928625, 0.803323326627355, 0.800444461404812,
0.797575913155142, 0.794717644905469, 0.791869619815415, 0.789031801176629,
0.786204152412307, 0.783386637076731, 0.780579218854788, 0.77778186156151,
0.774994529141605, 0.772217185668991, 0.769449795346334, 0.766692322504588,
0.763944731602534, 1.11341569090863, 1.10864127602262, 1.10388733420672,
1.09915377767079, 1.09444051900111, 1.08974747115884, 1.08507454747834,
1.0804216616656, 1.07578872779666, 1.07117566031599, 1.06658237403496,
1.06200878413019, 1.05745480614207, 1.05292035597315, 1.04840534988657,
1.04390970450458, 1.03943333680694, 1.03497616412939, 1.03053810416218,
1.02611907494849, 1.02171899488293, 1.01733778271005, 1.01297535752282,
1.00863163876117, 1.00430654621045, 1, 0.995711920601629, 0.991442228828184,
0.987190845832071, 0.982957693103798, 0.978742692470529, 0.97454576609464,
0.97036683647228, 0.96620582643194, 0.962062659133031, 0.957937258064461,
0.953829547043222, 0.949739450212989, 0.94566689204271, 0.94161179732522,
0.937574091175846, 0.933553699031029, 0.929550546646941, 0.925564560098119,
0.9215956657761, 0.917643790388057, 0.913708860955451, 0.909790804812679,
0.905889549605734, 0.90200502329087, 0.898137154133269, 0.894285870705718,
0.890451101887291, 0.886632776862031, 0.882830825117648, 0.879045176444214,
0.875275760932866, 0.871522508974516, 0.867785351258566, 0.864064218771626,
0.860359042796242, 0.856669754909625, 0.852996286982389, 0.849338571177293,
0.845696539947986, 0.842070126037761, 0.838459262478315, 0.834863882588508,
0.831283919973136, 0.827719308521702, 0.824169982407196, 0.82063587608488,
0.817116924291076, 0.813613062041963, 0.810124224632375, 0.806650347634607,
0.803191366897227, 0.799747218543885, 0.796317838972142, 0.792903164852291,
0.789503133126184, 0.786117681006076, 0.782746745973459, 0.779390265777908,
0.776048178435935, 0.77272042222984, 0.769406935706576, 0.766107657676608,
0.762822527212791, 0.759551483649236, 0.756294466580198, 0.753051415858953,
0.749822271596694, 0.74660697416142, 0.743405464176839, 0.740217682521265,
0.737043570326536, 0.733883068976917, 0.730736120108023, 0.727602665605742,
0.724482647605159, 1.1320553450125, 1.1264526815186, 1.12087774620809,
1.11533040185123, 1.10981051189742, 1.10431794047186, 1.09885255237224,
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0.985226037547583, 0.980350048066917, 0.97549819038191, 0.970670345061712,
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1, 0.99130364863173, 0.982682923790581, 0.974137167801699, 0.965665728709605,
0.957267960228449, 0.948943221692716, 0.940690878008338, 0.932510299604252,
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0.776237170348314, 0.769486739169854, 0.762795012112809, 0.756161478665512,
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0.698996322980234, 0.692917605350469, 0.686891750385082, 0.680918298371767,
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0.651821270564568, 0.646152803766427, 0.640533631947281, 0.634963326420674,
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0.60783004830259, 0.602544144630358, 0.597304209033759, 0.592109841758255,
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0.566807780451114, 0.561878620834042, 0.556992326920951, 0.552148525936616,
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