我想结合3 ggplot直方图。为此,我使用gridExtra包。因为所有图都在一行中,我想从右边的2个图中删除y标题和比例。
我一如既往地编写相同的代码,但它没有用。你们知道什么可能是个问题吗?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
答案 0 :(得分:2)
我认为您要找的是count
并将+ ylab(NULL)
移到theme()
之后。我还为theme_minimal()
添加了宽度规格,因为最左边的数字的宽度需要更宽,以便为y标题提供空间。
您的代码将是
grid.arrange
答案 1 :(得分:2)
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"))