ggplot2多图：一个图上有大标签吗？

Question

我想用站点制作各种水质信息的2x2或4x1图。我的网站名称很长。我在4个地块上使用ggarrange。但！如果删除标签，则结果图将不等于图块本身的空间。

我想要的图像：

sitenameso<- c("Honolua", "Fleming N", "Oneloa", "Kapalua Bay", "Napili S", 
"Ka'opala", "Kahana Village", "Pohaku", "Kaanapali Shores", "Airport Beach", 
"Canoe Beach", "Wahikuli", "505 Front St", "Lindsey Hale", "Lahaina Town", 
"Puamana", "Launiupoko", "Olowalu shore", "PM Hale", "Camp Olowalu", 
"Mile Marker 14", "Ukumehame BP", "Papalaua", "Papalaua Pali"
)

library(ggpubr)
library(colorspace)
col<-rainbow_hcl(4)

p1<- ggplot(hui_geomean, aes(x=factor(SiteNum), y=Nitrate))+
  geom_bar(stat="identity", position="dodge", fill=col[1])+
  ylab("ug/L")+labs(title="Nitrate + Nitrite")+
  scale_x_discrete(name=NULL, labels=sitenameso)+
  geom_hline(yintercept=3.5, linetype="dashed", color = "red")+
  theme_classic2()+
  theme(axis.text.x = element_text(angle=-90,hjust=0),
        #plot.margin = unit(c(2, 1, 1, 1), "lines"),
        plot.title = element_text(hjust = 0.5))

p2<- ggplot(hui_geomean, aes(x=factor(SiteNum), y=TP))+
  geom_bar(stat="identity", position="dodge", fill="blue")+
  ylab("ug/L")+labs(title="Total P")+
  scale_x_discrete(name=NULL, labels=sitenameso)+
  geom_hline(yintercept=16, linetype="dashed", color = "red")+
  theme_classic2()+
  theme(axis.text.x = element_text(angle=-90,hjust=0),
        #plot.margin = unit(c(2, 1, 1, 1), "lines"),
        plot.title = element_text(hjust = 0.5))

p3<- ggplot(hui_geomean, aes(x=factor(SiteNum), y=NH4))+
  geom_bar(stat="identity", position="dodge", fill=col[3])+
  ylab("ug/L")+labs(title="Ammonia")+
  scale_x_discrete(name=NULL, labels=sitenameso)+
  geom_hline(yintercept=2.0, linetype="dashed", color = "red")+
  theme_classic2()+
  theme(axis.text.x = element_text(angle=-90,hjust=0),
        #plot.margin = unit(c(2, 1, 1, 1), "lines"),
        plot.title = element_text(hjust = 0.5))

p4<- ggplot(hui_geomean, aes(x=factor(SiteNum), y=Turb))+
  geom_bar(stat="identity", position="dodge", fill=col[4])+
  #ylab("NTU")+labs(title="Turbidity")+
  scale_x_discrete(name=NULL, labels=sitenameso)+
  geom_hline(yintercept=0.2, linetype="dashed", color = "red")+
  theme_classic2()+
  theme(axis.text.x = element_text(angle=-90,hjust=0),
        #plot.margin = unit(c(2, 1, 1, 1), "lines"),
        plot.title = element_text(hjust = 0.5))

#multiplot(p1, p2, p3, p4, cols=2)
tiff(filename= paste("barplots2_", Sys.Date(), ".tif", sep=""), 
     width = 4, height = 6, units = 'in', res=300)
ggarrange(p1+rremove("x.text"), p2+rremove("x.text"), p3+rremove("x.text"), p4, 
          labels = c("A", "B", "C", ""),
          font.label=list(size=12),
          #heights = c(1, 1),
          ncol = 1, nrow = 4)
dev.off()

这里是数据（标题）。希望这会有所帮助。

structure(list(SiteName = structure(c(6L, 5L, 18L, 10L, 16L, 
7L), .Label = c("505 Front Street", "Airport Beach", "Camp Olowalu", 
"Canoe Beach", "DT Beach (Fleming N)", "Honolua", "Ka'opala", 
"Kaanapali Shores", "Kahana Village", "Kapalua Bay (Fleming S)", 
"Lahaina Town", "Launiupoko", "Lindsey Hale", "Makila Point", 
"Mile Marker 14", "Napili", "Olowalu Shore Front", "Oneloa", 
"Papalaua", "Papalaua Pali", "Peter Martin Hale", "Pohaku", "Ukumehame Beach", 
"Wahikuli"), class = "factor"), lat = c(21.013058, 21.005, 21.004056, 
20.998924, 20.994222, 20.982074), long = c(-156.63834, -156.65084, 
-156.65894, -156.666746, -156.667417, -156.673398), Session = c(23, 
23, 23, 23, 17, 23), TP = c(12.51, 11.78, 12.35, 19.27, 14.44, 
15.64), Phosphate = c(7.93, 5.93, 4.77, 14.18, 9.3, 11.29), NH4 = c(5.29, 
2.37, 2.06, 4.48, 5.64, 3.36), Nitrate = c(5.23, 9.63, 4.72, 
79.76, 24.65, 55.87), TN = c(86, 77.72, 73.86, 163.06, 119.23, 
121.65), Silica = c(408.75, 221.42, 95.67, 810.38, 410.42, 497.56
), Temp = c(24.56, 25.33, 25.63, 25.96, 25.09, 25.73), Sal = c(33.13, 
34.37, 34.69, 33.25, 33.99, 33.92), DO = c(6.35, 6.81, 6.85, 
6.79, 6.8, 6.6), DOper = c(91.88, 100.56, 102.09, 100.88, 99.73, 
98.03), pH = c(8.12, 8.16, 8.18, 8.13, 8.12, 8.12), Turb = c(9.62, 
2.17, 0.74, 1.49, 1.32, 8.49), SiteNum = c(1, 2, 3, 4, 5, 6), 
    siteno = c(1, 2, 3, 4, 5, 6)), row.names = c(NA, 6L), class = "data.frame")

Answer 1

您可以使用ggarrange()函数，但可以使用egg包中的

p11 <- p1 + theme(axis.text.x = element_blank())
p12 <- p2 + theme(axis.text.x = element_blank())
p13 <- p3 + theme(axis.text.x = element_blank())
p14 <- p4 + theme(axis.text.x = element_text(vjust = 0.5))

# install.packages("devtools")
# devtools::install_github("baptiste/egg")
library(egg)
ggarrange(p11,
          p12,
          p13,
          p14,
          labels = c("A", "B", "C", ""),
          label.args = list(gp = grid::gpar(font = 4, cex = 1.2)),
          nrow = 4)

patchwork也可以

# devtools::install_github("thomasp85/patchwork")
library(patchwork)
p11 + p12 + p13 + p14 + 
  plot_layout(nrow = 4) + 
  plot_annotation(tag_levels = 'A', tag_suffix = ')')

^{由reprex package（v0.2.1.9000）于2018-10-15创建}