R ggplot中文本标签不同部分的不同字体大小

已提供

数据样本

，请滚动至底部

我已经遵循了这些，但我无法让它与我的脚本一起运行。他们似乎在使用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有不同的字体大小。我在Photoshop中编辑了以下内容，描述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, 
1.09341421306535, 1.0880027886838, 1.08261814602275, 1.07726015253658, 
1.07192867633566, 1.0666235861831, 1.06134475149152, 1.05609204231981, 
1.05086532936997, 1.04566448398391, 1.04048937814028, 1.03533988445131, 
1.03021587615971, 1.0251172271355, 1.02004381187294, 1.01499550548744, 
1.00997218371247, 1.00497372289651, 1, 0.99505089259232, 0.990126278848773, 
0.985226037547583, 0.980350048066917, 0.97549819038191, 0.970670345061712, 
0.965866393266552, 0.961086216744807, 0.956329697830096, 0.951596719438381, 
0.946887165065084, 0.942200918782223, 0.937537865235555, 0.932897889641737, 
0.928280877785502, 0.923686716016846, 0.919115291248231, 0.914566490951803, 
0.910040203156617, 0.905536316445888, 0.901054719954242), lower = c(0.931198841176898, 
0.933857755314683, 0.936524261627286, 0.939198381793148, 0.941880137552615, 
0.944569550708104, 0.947266643124289, 0.949971436728276, 0.952683953509779, 
0.955404215521302, 0.958132244878317, 0.960868063759443, 0.963611694406628, 
0.966363159125328, 0.96912248028469, 0.971889680317732, 0.974664781721529, 
0.977447807057391, 0.980238778951049, 0.983037720092839, 0.985844653237888, 
0.988659601206295, 0.99148258688332, 0.994313633219567, 0.997152763231174, 
1, 0.99177339754103, 0.983614472070078, 0.975522666835468, 0.967497429665698, 
0.959538212931763, 0.951644473509783, 0.943815672743943, 0.936051276409733, 
0.928350754677499, 0.920713582076282, 0.913139237457967, 0.905627203961713, 
0.898176968978691, 0.890788024117101, 0.883459865167478, 0.87619199206829, 
0.868983908871812, 0.861835123710281, 0.85474514876234, 0.847713500219739, 
0.840739698254329, 0.833823266985317, 0.826963734446789, 0.82016063255551, 
0.813413497078978, 0.806721867603749, 0.800085287504015, 0.793503303910449, 
0.786975467679298, 0.780501333361739, 0.774080459173476, 0.767712406964599, 
0.761396742189682, 0.755133033878133, 0.748920854604782, 0.742759780460716, 
0.736649391024354, 0.730589269332754, 0.724579001853164, 0.718618178454801, 
0.712706392380864, 0.70684324022078, 0.701028321882674, 0.695261240566066, 
0.689541602734799, 0.683869018090179, 0.678243099544345, 0.672663463193854, 
0.667129728293484, 0.661641517230253, 0.65619845549765, 0.650800171670081, 
0.645446297377522, 0.640136467280383, 0.634870319044577, 0.629647493316798, 
0.624467633699994, 0.619330386729051, 0.614235401846671, 0.609182331379452, 
0.604170830514165, 0.599200557274219, 0.594271172496331, 0.589382339807378, 
0.584533725601445, 0.579724999017061, 0.574955831914621, 0.570225898853993, 
0.565534877072313, 0.560882446461956, 0.556268289548699, 0.551692091470051, 
0.547153539953769, 0.542652325296551, 0.538188140342901, 0.961892022918095, 
0.963388083737925, 0.964886471428051, 0.966387189607529, 0.967890241901041, 
0.969395631938907, 0.970903363357095, 0.972413439797228, 0.97392586490659, 
0.975440642338142, 0.976957775750523, 0.978477268808065, 0.979999125180797, 
0.981523348544458, 0.983049942580502, 0.984578910976112, 0.986110257424203, 
0.987643985623434, 0.989180099278218, 0.990718602098728, 0.992259497800909, 
0.993802790106485, 0.995348482742968, 0.996896579443668, 0.998447083947701, 
1, 0.99130364863173, 0.982682923790581, 0.974137167801699, 0.965665728709605, 
0.957267960228449, 0.948943221692716, 0.940690878008338, 0.932510299604252, 
0.924400862384363, 0.916361947679937, 0.9083929422024, 0.900493237996551, 
0.892662232394182, 0.884899327968098, 0.877203932486542, 0.869575458868011, 
0.86201332513647, 0.854516954376953, 0.847085774691547, 0.839719219155767, 
0.832416725775299, 0.825177737443132, 0.818001701897053, 0.810888071677514, 
0.803836304085867, 0.796845861142965, 0.789916209548114, 0.783046820638392, 
0.776237170348314, 0.769486739169854, 0.762795012112809, 0.756161478665512, 
0.749585632755886, 0.743066972712834, 0.736605001227967, 0.730199225317664, 
0.723849156285463, 0.717554309684779, 0.711314205281944, 0.705128367019571, 
0.698996322980234, 0.692917605350469, 0.686891750385082, 0.680918298371767, 
0.674996793596042, 0.669126784306475, 0.663307822680226, 0.657539464788876, 
0.651821270564568, 0.646152803766427, 0.640533631947281, 0.634963326420674, 
0.629441462228154, 0.623967618106861, 0.618541376457381, 0.613162323311894, 
0.60783004830259, 0.602544144630358, 0.597304209033759, 0.592109841758255, 
0.586960646525714, 0.58185623050418, 0.576796204277899, 0.571780181817614, 
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---

out您可以使用当前正在开发的ggtext包来实现这一点

#这需要ggplot2和ggtext的当前开发版本
#remotes:：安装_github（“tidyverse/ggplot2”）
#remotes:：install_github（“clauswilke/ggtext”）
图书馆（tidyverse）
图书馆（ggtext）
df%
变异(
整体非调整=1+.08/（-25）*（参考-25），
无事件非事件调整=1+.1/（-25）*（参考-25），
总体_adj=1+.12/（-25）*（参考文献-25），
无事件调整=1+.14/-25）*（参考-25）
) %>%
枢轴长度（-reference，names_to=“lymphon_node_yield”，values_to=“hazard_ratio”）
ggplot（df，aes（参考，危险比，颜色=淋巴结产量））+
geom_线（）+
比例\颜色\手册(
name=“淋巴结产量”，
中断=c(
“总体”不是“总体”，
“无事件”或“无事件”
),
标签=c(
“总生存率
未根据转移负担进行调整”，
“总生存率
根据转移负担进行调整”，
“无事件生存率
不适应转移性负担”，
“无事件生存率
根据转移负担调整”
),
值=c(
整体_not_adj=“#0072B2”，整体_adj=“#009E73”，
无事件无调整=“#CC79A7”，无事件调整=“#E69F00”
),
指南=指南\图例（title.position=“top”，ncol=2）
) +
主题(经典)+
主题(
legend.position=“top”，
图例.title.align=0.5，
legend.text=元素\标记（），
图例.key.height=网格：：单位（20，“磅”）
)


由（v0.3.0）于2019-12-03创建
我认为方法仍然相同。使用
ggplot\u build（）
和
ggplot\u gtable（）
创建一个所谓的
gtable
，然后查看存储文本的
gtable
对象，并像在链接中一样对其进行调整。感谢您输入@ricoderks。你有没有机会举个例子来说明如何做？我觉得我有点太快了。我现在正在玩它，但是找不到文本的位置。也尝试从你的链接复制代码，但它不再工作。对不起，我没有成功。我还使用了
表达式
，但这里的行没有对齐。您有示例数据吗？我很想玩这个，但我很感激不必从头开始构建df来匹配您的情节。