我为数据框中的每个变量制作了直方图、线图和箱线图,以评估每个变量的分布并将这些图绘制在一个窗口中。
对于变量,VARIABLE
我的代码如下所示:
variable_name_string = "VARIABLE"
hist = qplot(VARIABLE, data = full_data_noNO, geom="histogram",
fill=I("lightblue"))+
theme_light()
avg_price = full_data_noNO %>%
group_by(Month, Country) %>%
dplyr::summarize(avg = mean(VARIABLE, na.rm =
TRUE))
#line graph for different countries over time
line = ggplot(data=avg_price, aes(x=anydate(Month), y=VARIABLE,
group=Country)) +
xlab("Date")+
ylab(variable_name_string)+
geom_line(aes(color=Country), size = 1)+
theme_light()
#boxplot over different years
avg_price2 = avg_price
avg_price2$Month = format(as.Date(anydate(avg_price$Month), "%Y-%m-%d"),
"%Y")
box = ggplot(avg_price2, aes(x = Month, y=VARIABLE, fill = Month)) +
geom_boxplot()+
xlab("Date")+
ylab(variable_name_string)+
guides(fill=FALSE)+
theme_light()
var_name = grid.text(variable_name_string, gp=gpar(fontsize=20))
#merge plot into one window
grid.arrange(var_name, hist, line, box, ncol=2)
这适用于一个变量,但现在我想对数据框中的每个变量执行此操作,并为所有变量保存合并的绘图窗口。我几乎一整天都在寻找,但找不到解决方案。谁能帮我?
没有可重现的示例很难提供帮助,但是您可以尝试将绘图代码包装在一个函数中,并使用它lapply
来为所有变量重复调用该函数。
make_plots <- function (variable_string) {
var_quo <- rlang::sym(variable_string)
hist = qplot(!!var_quo, data = full_data_noNO, geom="histogram",
fill=I("lightblue"))+
theme_light()
avg_price = full_data_noNO %>%
group_by(Month, Country) %>%
dplyr::summarize(avg = mean(!!var_quo, na.rm =
TRUE))
#line graph for different countries over time
line = ggplot(data=avg_price, aes(x=anydate(Month), y=!!var_quo,
group=Country)) +
xlab("Date")+
ylab(variable_string)+
geom_line(aes(color=Country), size = 1)+
theme_light()
#boxplot over different years
avg_price2 = avg_price
avg_price2$Month = format(as.Date(anydate(avg_price$Month), "%Y-%m-%d"),
"%Y")
box = ggplot(avg_price2, aes(x = Month, y=!!var_quo, fill = Month)) +
geom_boxplot()+
xlab("Date")+
ylab(variable_string)+
guides(fill=FALSE)+
theme_light()
var_name = grid.text(!!var_quo, gp=gpar(fontsize=20))
#merge plot into one window
combined <- grid.arrange(var_name, hist, line, box, ncol=2)
# Save combined plot at VARIABLE_plots.pdf
ggsave(paste0(variable_string, "_plots.pdf"), combined)
combined
}
# Make sure to pass the variable names as character vector
plots <- lapply(c("VARIABLE1", "VARIABLE2"), make_plots)
# OR
plots <- lapply(colnames(full_data_noNO), make_plots)
# Plots can also be accessed and printed individually
print(plots[["VARIABLE1"]])
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