R中不同组的时间序列多重图 [英] Time series multiple plot for different group in R

问题描述

我有一个包含多个变量(大约50个)的大型数据框，第一列为 date ，第二列为 id .

I have a large data frame of several variables (around 50) with first column as date and second column id.

我的数据大致如下:

df <- data.frame(date = c("01-04-2001 00:00","01-04-2001 00:00","01-04-2001 00:00",
                      "01-05-2001 00:00","01-05-2001 00:00","01-05-2001 00:00",
                      "01-06-2001 00:00","01-06-2001 00:00","01-06-2001 00:00",
                      "01-07-2001 00:00","01-07-2001 00:00","01-07-2001 00:00"), 
             id = c(1,2,3,1,2,3,1,2,3,1,2,3), a = c(1,2,3,4,5,6,7,8,9,10,11,12), 
             b = c(2,2.5,3,3.2,4,4.6,5,5.6,8,8.9,10,10.6))

我希望在同一变量图中分别对所有三个id进行时间序列图绘制，在不同图中分别使用 a 和 b .

I want time series plots for all three ids separately in same graph of variables, a and b in different graphs.

我尝试了 ggplot ，但没有成功.请帮助我

I tried ggplot but it didn't work. Please help me

推荐答案

阅读评论后，也许您应该尝试执行以下操作:

After reading the comments, maybe you should try something like this:

library(tidyr)
df2 <- gather(df, variable, value, -date, -id)
vars <- unique(df2$variable)

library(ggplot2)
for (i in 1:length(vars)) {
  ggplot() + 
    geom_line(data = subset(df2, variable == vars[[i]]), 
              aes(date, value, group = id, color = factor(id))) +
    ylab(as.character(vars[[i]])) +
    ggsave(file = paste0(vars[[i]], ".png"))
}

这应为数据框中的每个变量保存一个PNG(并根据您的请求将每个图的y标签更改为变量名 )

This should save a PNG for each variable in your dataframe (and will change y label of every plot to variable name, as per your request)

这篇关于R中不同组的时间序列多重图的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！