问题描述
Boxplot_depend_vs_independ <- function(df_train) {
train_int_names <- df_train %>% select_if(is.numeric)
int_names <- names(train_int_names)
for (i in int_names) {
assign(paste0("var_",i),ggplot(train,aes_string(x = train$target,y = i)) +
geom_Boxplot(color = 'steelblue',outlier.color = 'firebrick',outlier.alpha = 0.35) +
labs(title = paste0(i,' vs target'),y = i,x= 'target') +
theme_minimal() +
theme(
plot.title = element_text(hjust = 0.45),panel.grid.major.y = element_line(color = "grey",linetype = "dashed"),panel.grid.major.x = element_blank(),panel.grid.minor.y = element_blank(),panel.grid.minor.x = element_blank(),axis.ticks.x = element_line(color = "grey")
)
)
}
myGlist <- list(var_YOJ) # Example of one grob in a list
gridExtra::grid.arrange(grobs = myGlist,nrow=4)
}
如何在创建图形对象时将它们放在列表中,以便我可以将它们最后传递给 grid.arrange 函数? assign 函数将它们放入一个变量中,但如何让循环将其放入一个列表中?
解决方法
不是在全局环境中使用 assign
创建对象,而是在顶部初始化一个 list
'myGlist',然后将每次迭代的输出分配给它
boxplot_depend_vs_independ <- function(df_train) {
train_int_names <- df_train %>%
select_if(is.numeric)
int_names <- names(train_int_names)
myGlist <- vector('list',length(int_names))
names(myGlist) <- int_names
for (i in int_names) {
myGlist[[i]] <-
ggplot(train,aes_string(x = train$target,y = i)) +
geom_boxplot(color = 'steelblue',outlier.color = 'firebrick',outlier.alpha = 0.35) +
labs(title = paste0(i,' vs target'),y = i,x= 'target') +
theme_minimal() +
theme(
plot.title = element_text(hjust = 0.45),panel.grid.major.y = element_line(color = "grey",linetype = "dashed"),panel.grid.major.x = element_blank(),panel.grid.minor.y = element_blank(),panel.grid.minor.x = element_blank(),axis.ticks.x = element_line(color = "grey")
)
}
gridExtra::grid.arrange(grobs = myGlist,nrow=4)
}