在 R 中将两个图合二为一 window
Arranging two plots in one window in R
我有两个名为 fig 和 fig2 的图。每个地块包含 4 个 geom_ablines，一个地块还包含图例。
我想将它们绘制成一个 window 垂直对齐。我在 R 中使用 ggarrange 函数，但是当它绘制它们时，它不显示 geom_ablines 并且还会弄乱图例。
但是，如果我单独绘制它们，它们就很好。我使用的代码是：
# First Plot
fig <- ggplot(scalingdata, aes(x=Re, y=Sw, color=Size)) +
geom_point(size=3) +
theme_minimal() +
theme(panel.background = element_rect(fill = "#f0f4f5",
size = 0.5, linetype = "solid"),
panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.border = element_rect(color = "black",fill = NA,size = 1),
plot.title = element_text(size = 25, face = "italic"),
axis.title.y = element_text(size=17.5),
axis.text.y = element_text(size=15, face="bold"),
axis.title.x = element_blank(),
axis.text.x = element_blank(),
legend.title =element_blank(),
legend.text = element_text(size=15, face="bold"),
legend.position = c(0.2, 0.7))+
scale_x_log10(limits = c(1,10^8), breaks = trans_breaks("log10", function(x) 10^x),
labels = trans_format("log10", math_format(10^.x))) +
scale_y_log10(limits = c(1,10^8), breaks = trans_breaks("log10", function(x) 10^x),
labels = trans_format("log10", math_format(10^.x))) + annotation_logticks()
lines <- data.frame(name = c("Sw ~ Re^13/15", "Sw ~ Re^9/10", "Sw ~ Re^2/3", "Sw ~ Re^3/4"),
intercept = c(1, 0.79, 1.35, 1.1),
slope = c(13/15, 9/10, 2/3, 3/4))
fig + geom_abline(data = lines, aes(intercept=intercept, slope=slope, color=name, size=name, linetype=name))+
scale_color_manual(name='Size',
values=c("Sw ~ Re^13/15" ='#e66419', "Sw ~ Re^9/10" ='#e66419',
"Sw ~ Re^2/3" ='#278ccf', "Sw ~ Re^3/4" ='#278ccf',
'Fish' = '#e66419', 'Larvae' = '#278ccf'),
breaks=lines$name) +
scale_size_manual(name='Size',
values=c("Sw ~ Re^13/15" =1, "Sw ~ Re^9/10" =1.25, "Sw ~ Re^2/3" =1, "Sw ~ Re^3/4" = 1.25)) +
scale_linetype_manual(name='Size',
values=c("Sw ~ Re^13/15" ='solid', "Sw ~ Re^9/10" ='dashed',
"Sw ~ Re^2/3" ='solid', "Sw ~ Re^3/4" ='dashed'))
# Second Plot
fig2 <- ggplot(scalingdata, aes(x=Re, y=St, color=Size)) +
geom_point(size=3) +
theme_minimal() +
theme(panel.background = element_rect(fill = "#f0f4f5",
size = 0.5, linetype = "solid"),
panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.border = element_rect(color = "black",fill = NA,size = 1),
plot.title = element_text(size = 25, face = "italic"),
axis.title=element_text(size=17.5),
axis.text = element_text(size=15, face="bold"),
legend.position ="none") + # If no legend to be shown
scale_x_log10(limits = c(1,10^8), breaks = trans_breaks("log10", function(x) 10^x),
labels = trans_format("log10", math_format(10^.x))) +
scale_y_log10(limits = c(10^-1,10^1), #breaks = trans_breaks("log10", function(x) 10^x),
labels = trans_format("log10", math_format(10^.x))) + annotation_logticks()
lines1 <- data.frame(name = c("St ~ Re^-2/15", "St ~ Re^-1/10", "St ~ Re^-1/3", "St ~ Re^-1/4"),
intercept = c(0.15, 0.03, 0.55, 0.38),
slope = c(-2/15, -1/10, -1/3, -1/4))
fig2 + geom_abline(data = lines1, aes(intercept=intercept, slope=slope, color=name, size=name, linetype=name))+
scale_color_manual(name='Size',
values=c("St ~ Re^-2/15" ='#e66419', "St ~ Re^-1/10" ='#e66419',
"St ~ Re^-1/3" ='#278ccf', "St ~ Re^-1/4" ='#278ccf',
'Fish' = '#e66419', 'Larvae' = '#278ccf'),
breaks=lines$name) +
scale_size_manual(name='Size',
values=c("St ~ Re^-2/15" =1, "St ~ Re^-1/10" =1.25, "St ~ Re^-1/3" =1, "St ~ Re^-1/4" = 1.25)) +
scale_linetype_manual(name='Size',
values=c("St ~ Re^-2/15" ='solid', "St ~ Re^-1/10" ='dashed',
"St ~ Re^-1/3" ='solid', "St ~ Re^-1/4" ='dashed'))
library(ggpubr)
ggarrange(fig, fig2, widths=c(1.8,1.8),heights=c(1.8,1.5),ncol=1,nrow=2, align='v')
知道如何解决这个问题吗？
MRE 是：
structure(list(Sw = c(118612, 119946, 122211, 122442, 124753,
126631, 128301, 128781, 135193, 137232, 137489, 137744, 138263,
141664, 144336, 150394, 152376, 152664, 156417, 158480, 160867,
162985, 170000, 172000, 172000, 175000, 183000, 185000, 185000,
193000, 198000, 202000, 206000, 209000, 213000, 213000, 214000,
221000, 221000, 221000, 221000, 232000, 236000, 236000, 240000,
240000, 241000, 248000, 251000, 256000, 258000, 260000, 271000,
272000, 274000, 292000, 297000, 299000, 308000, 315000, 327000,
327000, 329000, 342000, 359000, 366000, 368000, 376000, 377000,
387000, 394000, 396000, 407000, 416000, 420000, 428000, 431000,
456000, 456000, 463000, 473000, 490000, 491000, 498000, 512000,
518000, 524000, 528000, 574000, 592000, 609000, 611000, 631000,
634000, 646000, 669000, 672000, 677000, 703000, 751000, 762000,
781000, 794000, 823000, 846000, 849000, 853000, 882000, 887000,
898000, 941000, 979000, 1030000, 1060000, 1070000, 1080000, 1090000,
1140000, 1170000, 6469900, 7584900, 7914000, 7995300, 8139300,
8254100, 8482100, 8485600, 8557900, 8642000, 8730800, 8734400,
8779000, 8812900, 8869100, 8902600, 8914600, 8975200, 9075000,
9203000, 9269900, 9481200, 9565700, 9656200, 9664300, 9821400,
9825700, 9989900, 10410400, 10552900, 10820800, 10959400, 11449900,
11855900, 41766.8, 44815, 46421, 51017, 52530, 54453, 55151,
60703, 60748, 61022, 61850, 62083, 64308, 65524, 66017, 66115,
66963, 69001, 70887, 74872, 74928, 76174, 85619, 85940, 300720,
349790, 414460, 507870, 538620, 540430, 570270, 595730, 617120,
667810, 687150, 697620, 704690, 717830, 741100, 754920, 760010,
769000, 825210, 875180, 899020, 1042220, 1665250, 1687780, 1930520,
2071620, 1484730, 1560040, 2205640, 3198090, 3225130, 4840500,
73.698, 91.148, 91.843, 126.687, 130.467, 155.199, 232.717, 602.22,
615.05, 619.05, 626.62, 655.73, 677.34, 747.73, 768.65, 778.66,
816.82, 859.61, 885.06, 906.12, 925.43, 975.49, 1020.79, 1024.12,
1091.84, 1094.5, 1114.2, 1122.36, 1165.94, 1290.31, 1291.33,
1302.88, 1361.19, 1477.34, 1543.46, 1564.86, 1609.89, 1679.22,
1720.21, 1748.66, 1769.04, 1778.18, 1804.09, 1816.32, 1842.21,
1861.27, 1861.88, 1875.09, 1957.71, 1975.41, 2028.23, 2049.21,
2193.15, 2214.41, 2320.91, 190.301, 213.437, 215.963, 217.451,
226.594, 227.932, 243.172, 244.607, 292.403, 297.318, 308.91,
310.428, 319.697, 332.16, 339.738, 345.449, 363.165, 388.971,
399.016, 414.572, 415.794, 453.714), Re = c(77600, 36434, 49900,
70000, 81300, 54900, 83300, 73400, 49100, 70000, 78800, 53200,
86600, 79400, 71700, 50700, 58000, 97400, 64200, 92200, 79400,
70000, 69500, 95900, 54800, 74500, 128000, 61200, 94400, 121000,
108000, 139000, 102000, 156000, 46100, 125000, 83200, 113000,
123000, 94400, 146000, 88600, 82600, 155000, 102000, 155000,
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186000, 187000, 184000, 186000, 246000, 152000, 231000, 332000,
202000, 222000, 239000, 214000, 302000, 219000, 307000, 260000,
312000, 241000, 348000, 235000, 196000, 324000, 244000, 324000,
357000, 250000, 357000, 380000, 337000, 3e+05, 351000, 414000,
389000, 293000, 417000, 335000, 374000, 512000, 401000, 343000,
537000, 414000, 595000, 392000, 448000, 421000, 633000, 496000,
633000, 466000, 648000, 524000, 729000, 516000, 504000, 795000,
802000, 4114000, 3809200, 4687400, 4130800, 4228400, 4891300,
3757100, 3974800, 4798000, 4516600, 4074300, 4310400, 4479500,
3904400, 4358000, 6464600, 3851100, 4824400, 4412200, 5069000,
4642300, 4316300, 6473400, 4096700, 4572600, 5340600, 5041200,
5224500, 5429300, 5481800, 5952800, 7097300, 7165900, 7781600,
25778, 29630, 20784, 28523, 38410, 36744, 33414, 56160, 41702,
49165, 30384, 42771, 33623, 46439, 47329, 24810, 38161, 56150,
51390, 47929, 54400, 56860, 59810, 67890, 303110, 236540, 282380,
354240, 408170, 391180, 377560, 408170, 391180, 402420, 526760,
435040, 411070, 585800, 508420, 450730, 497730, 463680, 477010,
745400, 553540, 846800, 889800, 935100, 1047300, 1148400, 553800,
723800, 746600, 1720200, 2939400, 2374500, 10.115, 10.11, 12.227,
29.025, 20.106, 10.165, 17.613, 83.12, 105.2, 123.1, 148.64,
113.79, 111.14, 333.77, 120.21, 283, 206.68, 287.45, 341.67,
318.34, 291.98, 366.66, 456.8, 296.57, 467.7, 439.2, 415.7, 390.39,
456.8, 308.38, 478.8, 671.2, 606, 587.2, 542.8, 749, 760.9, 692.4,
659.3, 667.6, 643, 560.6, 777.7, 686.5, 735.2, 856.6, 690.8,
870, 710.4, 894.7, 730.6, 825, 817.3, 920.1, 880.8, 25.031, 32.901,
29.787, 27.193, 23.62, 29.056, 30.791, 23.425, 30.537, 36.339,
50.199, 58.272, 52.758, 54.085, 68.21, 27.193, 71.09, 50.617,
48.967, 44.702, 73.49, 73.49), Species = c("Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
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"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
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"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
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"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Stingrays", "Stingrays",
"Stingrays", "Stingrays", "Stingrays", "Stingrays", "Stingrays",
"Stingrays", "Stingrays", "Stingrays", "Stingrays", "Stingrays",
"Stingrays", "Stingrays", "Stingrays", "Stingrays", "Stingrays",
"Stingrays", "Stingrays", "Stingrays", "Stingrays", "Stingrays",
"Stingrays", "Stingrays", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Sharks", "Sharks", "Sharks", "Sharks", "Sharks", "Sharks", "Ascidian Larvae",
"Ascidian Larvae", "Ascidian Larvae", "Ascidian Larvae", "Ascidian Larvae",
"Ascidian Larvae", "Ascidian Larvae", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish61", "Larval Zebrafish61",
"Larval Zebrafish61", "Larval Zebrafish61", "Larval Zebrafish61",
"Larval Zebrafish61", "Larval Zebrafish61", "Larval Zebrafish61",
"Larval Zebrafish61", "Larval Zebrafish61", "Larval Zebrafish61",
"Larval Zebrafish61", "Larval Zebrafish61", "Larval Zebrafish61",
"Larval Zebrafish61", "Larval Zebrafish61", "Larval Zebrafish61",
"Larval Zebrafish61", "Larval Zebrafish61", "Larval Zebrafish61",
"Larval Zebrafish61", "Larval Zebrafish61"), Size = c("Fish",
"Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish",
"Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish",
"Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish",
"Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish",
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"Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish",
"Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish",
"Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae",
"Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae",
"Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae",
"Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae",
"Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae",
"Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae",
"Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae",
"Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae",
"Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae",
"Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae",
"Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae"
), St = c(0.243268582034501, 0.523959877133545, 0.389788362056428,
0.278388628178544, 0.244219067477153, 0.367102048635318, 0.245134340978561,
0.279238212500755, 0.438219631492664, 0.31201571537706, 0.277690390877163,
0.412078707080919, 0.254101483129468, 0.283960618825043, 0.320386808203692,
0.472108334099284, 0.418126498248202, 0.249457632595693, 0.387764494072905,
0.273566338387061, 0.322452372293089, 0.370568682018262, 0.38929895045003,
0.285449282566378, 0.499536244491161, 0.373853018937899, 0.227541300611154,
0.481104503595853, 0.311902495975278, 0.253858117251408, 0.291783380018674,
0.231289376443841, 0.321429819699716, 0.213226316167493, 0.73535626042963,
0.271199388846448, 0.409363920393332, 0.311266904187258, 0.28596065181431,
0.372597035732629, 0.240912055980549, 0.416747860646413, 0.454727345483648,
0.242325669270641, 0.374481343339475, 0.246432884004042, 0.306850012732366,
0.233552269751365, 0.327440961481463, 0.497479489076128, 0.360191923659416,
0.260252757478063, 0.324292396384391, 0.279290601871247, 0.382529407297209,
0.274988962771768, 0.328256302521008, 0.227690032080688, 0.314228255404726,
0.265257618198795, 0.37987988825258, 0.309783004110735, 0.281515343185172,
0.291074135050228, 0.310524407391415, 0.313175123421803, 0.23808488657843,
0.393698149116106, 0.259745771586872, 0.185520538993253, 0.310430202684134,
0.283897342720872, 0.271028913657513, 0.309384586459903, 0.221340793993696,
0.311041809833107, 0.223438501844327, 0.279132632073809, 0.232610526728174,
0.305761686039938, 0.216322161048327, 0.331854211704024, 0.398698440415127,
0.244626470116666, 0.333963689797827, 0.254450826346251, 0.233605028464149,
0.336134453781513, 0.255895584615308, 0.247946068379505, 0.287611672670147,
0.324144809438927, 0.286115482193914, 0.243729463678313, 0.264302963531755,
0.363393883771318, 0.256479308531784, 0.321634759738359, 0.299159527690512,
0.233447427266361, 0.302433374165808, 0.362389853900744, 0.235323518267981,
0.316386985184939, 0.226293726046568, 0.344699568138944, 0.303033145076212,
0.333430716272689, 0.223017542504579, 0.288146783640142, 0.236594709692005,
0.334361212296077, 0.252977172911813, 0.321953903004644, 0.233601359236799,
0.333114218203138, 0.344203337900817, 0.228221648865378, 0.232183102213908,
0.250295128437197, 0.316909457357351, 0.268709577645423, 0.308048935041855,
0.306358622430061, 0.268574355248053, 0.359310368633893, 0.339771064454215,
0.283874302307228, 0.3045241557553, 0.341051647591493, 0.322503638696486,
0.311913824779625, 0.359239145081061, 0.323900368274474, 0.219176667244061,
0.368414047393468, 0.296087410852063, 0.327348653980426, 0.288952360656955,
0.317805173505505, 0.349599499061661, 0.23518164782688, 0.375138127690756,
0.336377010833042, 0.292686346632698, 0.310204924915008, 0.304323523404437,
0.30517060120053, 0.306385178491378, 0.289305836077696, 0.245760867447159,
0.254302170218483, 0.242484923070044, 0.257870165748749, 0.240719274240546,
0.355471244064845, 0.2846681185215, 0.217661796677678, 0.235860109140741,
0.262690301692974, 0.17202920082822, 0.231843122013434, 0.197537480456343,
0.323976771042564, 0.231016184479705, 0.304402110063851, 0.224562202134299,
0.221997238656593, 0.424123516982184, 0.279276421804133, 0.195580134425664,
0.219536681625896, 0.248622358777944, 0.219212016357345, 0.213215622321579,
0.227832389358595, 0.20146919759615, 0.157899648862937, 0.235354178413181,
0.233597292524979, 0.228178161508506, 0.210019930393074, 0.219878073423756,
0.240388487016993, 0.232288390949214, 0.251079985698921, 0.264114641433334,
0.207614593756514, 0.255216558855981, 0.272835854188107, 0.19502547907645,
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0.670946160047344, 0.917149369794335, 0.969963623056172, 0.356546865546547,
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1.27269225907284, 1.52681925668428, 1.24850012592141, 1.25692362442215,
1.66191343132771, 1.52396351968135, 1.30216898419267, 0.979390794690607,
0.84785205830123, 0.964426984707154, 0.977438888352537, 0.792711561574157,
2.02183603756457, 0.813045009817121, 1.22303796362965, 1.29689832478866,
1.47601961377895, 0.900469664727307, 0.982591604164768)), row.names = 300:585, class = "data.frame")
谢谢
在您的代码中，您没有将线条保存到图中，而是在不保存的情况下添加它们。添加如下内容：
a <- fig + geom_abline(data = lines, aes(intercept=intercept, slope=slope, color=name, size=name, linetype=name))+
scale_color_manual(name='Size',
values=c("Sw ~ Re^13/15" ='#e66419', "Sw ~ Re^9/10" ='#e66419',
"Sw ~ Re^2/3" ='#278ccf', "Sw ~ Re^3/4" ='#278ccf',
'Fish' = '#e66419', 'Larvae' = '#278ccf'),
breaks=lines$name) +
scale_size_manual(name='Size',
values=c("Sw ~ Re^13/15" =1, "Sw ~ Re^9/10" =1.25, "Sw ~ Re^2/3" =1, "Sw ~ Re^3/4" = 1.25)) +
scale_linetype_manual(name='Size',
values=c("Sw ~ Re^13/15" ='solid', "Sw ~ Re^9/10" ='dashed',
"Sw ~ Re^2/3" ='solid', "Sw ~ Re^3/4" ='dashed'))
b <- fig2 + geom_abline(data = lines1, aes(intercept=intercept, slope=slope, color=name, size=name, linetype=name))+
scale_color_manual(name='Size',
values=c("St ~ Re^-2/15" ='#e66419', "St ~ Re^-1/10" ='#e66419',
"St ~ Re^-1/3" ='#278ccf', "St ~ Re^-1/4" ='#278ccf',
'Fish' = '#e66419', 'Larvae' = '#278ccf'),
breaks=lines$name) +
scale_size_manual(name='Size',
values=c("St ~ Re^-2/15" =1, "St ~ Re^-1/10" =1.25, "St ~ Re^-1/3" =1, "St ~ Re^-1/4" = 1.25)) +
scale_linetype_manual(name='Size',
values=c("St ~ Re^-2/15" ='solid', "St ~ Re^-1/10" ='dashed',
"St ~ Re^-1/3" ='solid', "St ~ Re^-1/4" ='dashed'))
尝试绘制两者（我使用 cowplot）：
library(cowplot)
plot_grid(a, b, labels = NA, nrow = 2)
我有两个名为 fig 和 fig2 的图。每个地块包含 4 个 geom_ablines，一个地块还包含图例。
我想将它们绘制成一个 window 垂直对齐。我在 R 中使用 ggarrange 函数，但是当它绘制它们时，它不显示 geom_ablines 并且还会弄乱图例。
但是，如果我单独绘制它们，它们就很好。我使用的代码是：
# First Plot
fig <- ggplot(scalingdata, aes(x=Re, y=Sw, color=Size)) +
geom_point(size=3) +
theme_minimal() +
theme(panel.background = element_rect(fill = "#f0f4f5",
size = 0.5, linetype = "solid"),
panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.border = element_rect(color = "black",fill = NA,size = 1),
plot.title = element_text(size = 25, face = "italic"),
axis.title.y = element_text(size=17.5),
axis.text.y = element_text(size=15, face="bold"),
axis.title.x = element_blank(),
axis.text.x = element_blank(),
legend.title =element_blank(),
legend.text = element_text(size=15, face="bold"),
legend.position = c(0.2, 0.7))+
scale_x_log10(limits = c(1,10^8), breaks = trans_breaks("log10", function(x) 10^x),
labels = trans_format("log10", math_format(10^.x))) +
scale_y_log10(limits = c(1,10^8), breaks = trans_breaks("log10", function(x) 10^x),
labels = trans_format("log10", math_format(10^.x))) + annotation_logticks()
lines <- data.frame(name = c("Sw ~ Re^13/15", "Sw ~ Re^9/10", "Sw ~ Re^2/3", "Sw ~ Re^3/4"),
intercept = c(1, 0.79, 1.35, 1.1),
slope = c(13/15, 9/10, 2/3, 3/4))
fig + geom_abline(data = lines, aes(intercept=intercept, slope=slope, color=name, size=name, linetype=name))+
scale_color_manual(name='Size',
values=c("Sw ~ Re^13/15" ='#e66419', "Sw ~ Re^9/10" ='#e66419',
"Sw ~ Re^2/3" ='#278ccf', "Sw ~ Re^3/4" ='#278ccf',
'Fish' = '#e66419', 'Larvae' = '#278ccf'),
breaks=lines$name) +
scale_size_manual(name='Size',
values=c("Sw ~ Re^13/15" =1, "Sw ~ Re^9/10" =1.25, "Sw ~ Re^2/3" =1, "Sw ~ Re^3/4" = 1.25)) +
scale_linetype_manual(name='Size',
values=c("Sw ~ Re^13/15" ='solid', "Sw ~ Re^9/10" ='dashed',
"Sw ~ Re^2/3" ='solid', "Sw ~ Re^3/4" ='dashed'))
# Second Plot
fig2 <- ggplot(scalingdata, aes(x=Re, y=St, color=Size)) +
geom_point(size=3) +
theme_minimal() +
theme(panel.background = element_rect(fill = "#f0f4f5",
size = 0.5, linetype = "solid"),
panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.border = element_rect(color = "black",fill = NA,size = 1),
plot.title = element_text(size = 25, face = "italic"),
axis.title=element_text(size=17.5),
axis.text = element_text(size=15, face="bold"),
legend.position ="none") + # If no legend to be shown
scale_x_log10(limits = c(1,10^8), breaks = trans_breaks("log10", function(x) 10^x),
labels = trans_format("log10", math_format(10^.x))) +
scale_y_log10(limits = c(10^-1,10^1), #breaks = trans_breaks("log10", function(x) 10^x),
labels = trans_format("log10", math_format(10^.x))) + annotation_logticks()
lines1 <- data.frame(name = c("St ~ Re^-2/15", "St ~ Re^-1/10", "St ~ Re^-1/3", "St ~ Re^-1/4"),
intercept = c(0.15, 0.03, 0.55, 0.38),
slope = c(-2/15, -1/10, -1/3, -1/4))
fig2 + geom_abline(data = lines1, aes(intercept=intercept, slope=slope, color=name, size=name, linetype=name))+
scale_color_manual(name='Size',
values=c("St ~ Re^-2/15" ='#e66419', "St ~ Re^-1/10" ='#e66419',
"St ~ Re^-1/3" ='#278ccf', "St ~ Re^-1/4" ='#278ccf',
'Fish' = '#e66419', 'Larvae' = '#278ccf'),
breaks=lines$name) +
scale_size_manual(name='Size',
values=c("St ~ Re^-2/15" =1, "St ~ Re^-1/10" =1.25, "St ~ Re^-1/3" =1, "St ~ Re^-1/4" = 1.25)) +
scale_linetype_manual(name='Size',
values=c("St ~ Re^-2/15" ='solid', "St ~ Re^-1/10" ='dashed',
"St ~ Re^-1/3" ='solid', "St ~ Re^-1/4" ='dashed'))
library(ggpubr)
ggarrange(fig, fig2, widths=c(1.8,1.8),heights=c(1.8,1.5),ncol=1,nrow=2, align='v')
知道如何解决这个问题吗？
MRE 是：
structure(list(Sw = c(118612, 119946, 122211, 122442, 124753,
126631, 128301, 128781, 135193, 137232, 137489, 137744, 138263,
141664, 144336, 150394, 152376, 152664, 156417, 158480, 160867,
162985, 170000, 172000, 172000, 175000, 183000, 185000, 185000,
193000, 198000, 202000, 206000, 209000, 213000, 213000, 214000,
221000, 221000, 221000, 221000, 232000, 236000, 236000, 240000,
240000, 241000, 248000, 251000, 256000, 258000, 260000, 271000,
272000, 274000, 292000, 297000, 299000, 308000, 315000, 327000,
327000, 329000, 342000, 359000, 366000, 368000, 376000, 377000,
387000, 394000, 396000, 407000, 416000, 420000, 428000, 431000,
456000, 456000, 463000, 473000, 490000, 491000, 498000, 512000,
518000, 524000, 528000, 574000, 592000, 609000, 611000, 631000,
634000, 646000, 669000, 672000, 677000, 703000, 751000, 762000,
781000, 794000, 823000, 846000, 849000, 853000, 882000, 887000,
898000, 941000, 979000, 1030000, 1060000, 1070000, 1080000, 1090000,
1140000, 1170000, 6469900, 7584900, 7914000, 7995300, 8139300,
8254100, 8482100, 8485600, 8557900, 8642000, 8730800, 8734400,
8779000, 8812900, 8869100, 8902600, 8914600, 8975200, 9075000,
9203000, 9269900, 9481200, 9565700, 9656200, 9664300, 9821400,
9825700, 9989900, 10410400, 10552900, 10820800, 10959400, 11449900,
11855900, 41766.8, 44815, 46421, 51017, 52530, 54453, 55151,
60703, 60748, 61022, 61850, 62083, 64308, 65524, 66017, 66115,
66963, 69001, 70887, 74872, 74928, 76174, 85619, 85940, 300720,
349790, 414460, 507870, 538620, 540430, 570270, 595730, 617120,
667810, 687150, 697620, 704690, 717830, 741100, 754920, 760010,
769000, 825210, 875180, 899020, 1042220, 1665250, 1687780, 1930520,
2071620, 1484730, 1560040, 2205640, 3198090, 3225130, 4840500,
73.698, 91.148, 91.843, 126.687, 130.467, 155.199, 232.717, 602.22,
615.05, 619.05, 626.62, 655.73, 677.34, 747.73, 768.65, 778.66,
816.82, 859.61, 885.06, 906.12, 925.43, 975.49, 1020.79, 1024.12,
1091.84, 1094.5, 1114.2, 1122.36, 1165.94, 1290.31, 1291.33,
1302.88, 1361.19, 1477.34, 1543.46, 1564.86, 1609.89, 1679.22,
1720.21, 1748.66, 1769.04, 1778.18, 1804.09, 1816.32, 1842.21,
1861.27, 1861.88, 1875.09, 1957.71, 1975.41, 2028.23, 2049.21,
2193.15, 2214.41, 2320.91, 190.301, 213.437, 215.963, 217.451,
226.594, 227.932, 243.172, 244.607, 292.403, 297.318, 308.91,
310.428, 319.697, 332.16, 339.738, 345.449, 363.165, 388.971,
399.016, 414.572, 415.794, 453.714), Re = c(77600, 36434, 49900,
70000, 81300, 54900, 83300, 73400, 49100, 70000, 78800, 53200,
86600, 79400, 71700, 50700, 58000, 97400, 64200, 92200, 79400,
70000, 69500, 95900, 54800, 74500, 128000, 61200, 94400, 121000,
108000, 139000, 102000, 156000, 46100, 125000, 83200, 113000,
123000, 94400, 146000, 88600, 82600, 155000, 102000, 155000,
125000, 169000, 122000, 81900, 114000, 159000, 133000, 155000,
114000, 169000, 144000, 209000, 156000, 189000, 137000, 168000,
186000, 187000, 184000, 186000, 246000, 152000, 231000, 332000,
202000, 222000, 239000, 214000, 302000, 219000, 307000, 260000,
312000, 241000, 348000, 235000, 196000, 324000, 244000, 324000,
357000, 250000, 357000, 380000, 337000, 3e+05, 351000, 414000,
389000, 293000, 417000, 335000, 374000, 512000, 401000, 343000,
537000, 414000, 595000, 392000, 448000, 421000, 633000, 496000,
633000, 466000, 648000, 524000, 729000, 516000, 504000, 795000,
802000, 4114000, 3809200, 4687400, 4130800, 4228400, 4891300,
3757100, 3974800, 4798000, 4516600, 4074300, 4310400, 4479500,
3904400, 4358000, 6464600, 3851100, 4824400, 4412200, 5069000,
4642300, 4316300, 6473400, 4096700, 4572600, 5340600, 5041200,
5224500, 5429300, 5481800, 5952800, 7097300, 7165900, 7781600,
25778, 29630, 20784, 28523, 38410, 36744, 33414, 56160, 41702,
49165, 30384, 42771, 33623, 46439, 47329, 24810, 38161, 56150,
51390, 47929, 54400, 56860, 59810, 67890, 303110, 236540, 282380,
354240, 408170, 391180, 377560, 408170, 391180, 402420, 526760,
435040, 411070, 585800, 508420, 450730, 497730, 463680, 477010,
745400, 553540, 846800, 889800, 935100, 1047300, 1148400, 553800,
723800, 746600, 1720200, 2939400, 2374500, 10.115, 10.11, 12.227,
29.025, 20.106, 10.165, 17.613, 83.12, 105.2, 123.1, 148.64,
113.79, 111.14, 333.77, 120.21, 283, 206.68, 287.45, 341.67,
318.34, 291.98, 366.66, 456.8, 296.57, 467.7, 439.2, 415.7, 390.39,
456.8, 308.38, 478.8, 671.2, 606, 587.2, 542.8, 749, 760.9, 692.4,
659.3, 667.6, 643, 560.6, 777.7, 686.5, 735.2, 856.6, 690.8,
870, 710.4, 894.7, 730.6, 825, 817.3, 920.1, 880.8, 25.031, 32.901,
29.787, 27.193, 23.62, 29.056, 30.791, 23.425, 30.537, 36.339,
50.199, 58.272, 52.758, 54.085, 68.21, 27.193, 71.09, 50.617,
48.967, 44.702, 73.49, 73.49), Species = c("Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish", "Dace, Trout, and Goldfish",
"Dace, Trout, and Goldfish", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Giant Bluefin Tuna",
"Giant Bluefin Tuna", "Giant Bluefin Tuna", "Stingrays", "Stingrays",
"Stingrays", "Stingrays", "Stingrays", "Stingrays", "Stingrays",
"Stingrays", "Stingrays", "Stingrays", "Stingrays", "Stingrays",
"Stingrays", "Stingrays", "Stingrays", "Stingrays", "Stingrays",
"Stingrays", "Stingrays", "Stingrays", "Stingrays", "Stingrays",
"Stingrays", "Stingrays", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Saithe and Mackerel", "Saithe and Mackerel", "Saithe and Mackerel",
"Sharks", "Sharks", "Sharks", "Sharks", "Sharks", "Sharks", "Ascidian Larvae",
"Ascidian Larvae", "Ascidian Larvae", "Ascidian Larvae", "Ascidian Larvae",
"Ascidian Larvae", "Ascidian Larvae", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish40", "Larval Zebrafish40",
"Larval Zebrafish40", "Larval Zebrafish61", "Larval Zebrafish61",
"Larval Zebrafish61", "Larval Zebrafish61", "Larval Zebrafish61",
"Larval Zebrafish61", "Larval Zebrafish61", "Larval Zebrafish61",
"Larval Zebrafish61", "Larval Zebrafish61", "Larval Zebrafish61",
"Larval Zebrafish61", "Larval Zebrafish61", "Larval Zebrafish61",
"Larval Zebrafish61", "Larval Zebrafish61", "Larval Zebrafish61",
"Larval Zebrafish61", "Larval Zebrafish61", "Larval Zebrafish61",
"Larval Zebrafish61", "Larval Zebrafish61"), Size = c("Fish",
"Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish",
"Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish",
"Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish", "Fish",
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"Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae",
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"Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae",
"Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae", "Larvae"
), St = c(0.243268582034501, 0.523959877133545, 0.389788362056428,
0.278388628178544, 0.244219067477153, 0.367102048635318, 0.245134340978561,
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谢谢
在您的代码中，您没有将线条保存到图中，而是在不保存的情况下添加它们。添加如下内容：
a <- fig + geom_abline(data = lines, aes(intercept=intercept, slope=slope, color=name, size=name, linetype=name))+
scale_color_manual(name='Size',
values=c("Sw ~ Re^13/15" ='#e66419', "Sw ~ Re^9/10" ='#e66419',
"Sw ~ Re^2/3" ='#278ccf', "Sw ~ Re^3/4" ='#278ccf',
'Fish' = '#e66419', 'Larvae' = '#278ccf'),
breaks=lines$name) +
scale_size_manual(name='Size',
values=c("Sw ~ Re^13/15" =1, "Sw ~ Re^9/10" =1.25, "Sw ~ Re^2/3" =1, "Sw ~ Re^3/4" = 1.25)) +
scale_linetype_manual(name='Size',
values=c("Sw ~ Re^13/15" ='solid', "Sw ~ Re^9/10" ='dashed',
"Sw ~ Re^2/3" ='solid', "Sw ~ Re^3/4" ='dashed'))
b <- fig2 + geom_abline(data = lines1, aes(intercept=intercept, slope=slope, color=name, size=name, linetype=name))+
scale_color_manual(name='Size',
values=c("St ~ Re^-2/15" ='#e66419', "St ~ Re^-1/10" ='#e66419',
"St ~ Re^-1/3" ='#278ccf', "St ~ Re^-1/4" ='#278ccf',
'Fish' = '#e66419', 'Larvae' = '#278ccf'),
breaks=lines$name) +
scale_size_manual(name='Size',
values=c("St ~ Re^-2/15" =1, "St ~ Re^-1/10" =1.25, "St ~ Re^-1/3" =1, "St ~ Re^-1/4" = 1.25)) +
scale_linetype_manual(name='Size',
values=c("St ~ Re^-2/15" ='solid', "St ~ Re^-1/10" ='dashed',
"St ~ Re^-1/3" ='solid', "St ~ Re^-1/4" ='dashed'))
尝试绘制两者（我使用 cowplot）：
library(cowplot)
plot_grid(a, b, labels = NA, nrow = 2)