从 ggplot 中删除 y 标签

Question

我想合并 3 个 ggplot 直方图。为此，我使用 gridExtra 包。因为所有图都在一行中，所以我想从从右数的 2 个图中删除 y 标题和比例。

我一如既往地编写了相同的代码，但它不起作用。你们知道可能会出现什么问题吗？我的代码：

plot1 <- ggplot(testing, aes(x=residualtotal))+
  geom_histogram(aes(y = ..density..), binwidth = 100) + 
  geom_density(aes(y = ..density..*(2)))+
  xlab("Residuals Model 1 [MW]")+
  theme(panel.background=element_rect(fill = "white") )+
  theme_minimal()
plot2 <- ggplot(testing, aes(x=residualtotal1))+
  geom_histogram(aes(y = ..density..), binwidth = 100) + 
  geom_density(aes(y = ..density..*(2)))+
  xlab("Residuals Model 2 [MW]")+
  theme(axis.text.y = element_blank(), axis.title.y = element_blank(), axis.ticks.y = element_blank(), panel.background=element_rect(fill = "white") )+
  theme_minimal()
plot3 <- ggplot(testing, aes(x=residualtotal2))+
  geom_histogram(aes(y = ..density..), binwidth = 100) + 
  geom_density(aes(y = ..density..*(2)))+
  xlab("Residuals Model 3 [MW]")+
  theme(axis.text.y = element_blank(), axis.title.y = element_blank(), axis.ticks.y = element_blank(), panel.background=element_rect(fill = "white") )+
  theme_minimal()
grid.arrange(plot1, plot2, plot3, ncol = 3, nrow=1)

我的数据集示例。

    Load residualtotal1 prognosis2 residualtotal2 residualtotal
89  20524      -347.6772   20888.75      -364.7539    -287.82698
99  13780      -133.8496   13889.52      -109.5207      -6.60009
100 13598      -155.9950   13728.77      -130.7729     -27.18835
103 13984      -348.4080   14310.12      -326.1226    -213.68816
129 14237     -3141.5591   17375.82     -3138.8188   -3077.32236
130 14883     -3142.0134   18026.02     -3143.0183   -3090.52193

Answer 1

另一种方法：

library(tidyverse)

res_trans <- c(`residualtotal`="Residuals Model 1 [MW]",
               `residualtotal1`="Residuals Model 2 [MW]",
               `residualtotal2`="Residuals Model 3 [MW]")

select(testing, starts_with("resid")) %>% 
  gather(which_resid, value) %>% 
  mutate(label=res_trans[which_resid]) %>% 
  ggplot(aes(x=value, group=label)) +
  geom_histogram(aes(y = ..density..), binwidth = 100) + 
  geom_density(aes(y = ..density..*(2))) +
  facet_wrap(~label, ncol=3) +
  labs(x=NULL, y=NULL) +
  theme_minimal() +
  theme(panel.background=element_rect(fill = "white"))