绘图中的R

Question

我的数据的多元时间序列数据如下：

> head(Full.df) 
     Date  Month  Week  Year Count.S Count.G Count.W Count.F 
1 2006-01-02 2006-01-01 2006-01-02 2006-01-01  0  7  9  6 
2 2006-01-03 2006-01-01 2006-01-02 2006-01-01  0  13  12  4 
3 2006-01-04 2006-01-01 2006-01-02 2006-01-01  0  13  15  4 
4 2006-01-05 2006-01-01 2006-01-02 2006-01-01  0  20  6  3 
5 2006-01-06 2006-01-01 2006-01-02 2006-01-01  0  19  19  4 
6 2006-01-07 2006-01-01 2006-01-02 2006-01-01  0  4  16  5 

为我所用的下一行代码的单一变量：

ggplot(data = Full.df, aes(Month, Count.S)) + stat_summary(fun.y = sum, geom ="line") + scale_x_date(
labels = date_format("%m-%y"), 
breaks = "3 months") 

我想绘制Count.S， Count.G,Count.W,Count.F作为四条线在同一平面上，但我不知道如何绘制ggplot（或任何其他包）的所有四个变量。谢谢。

编辑：虽然提供给不同问题的链接是非常有用的，但那里的答案解释了如何在一个图像中绘制不同的图。但是，我想知道如何在单个XY轴上绘制与各种变量相对应的线条。

Answer 1

两个这样做的方法：

如果作为创建的样本数据如下：使用reshape2包

Full.df <- data.frame(Date = as.Date("2006-01-01") + as.difftime(0:364, units = "days")) 
Full.df$Month <- as.Date(format(Full.df$Date, "%Y-%m-01")) 
Full.df[paste0("Count.", c("S", "G", "W", "F"))] <- 
    matrix(sample(100, 365 * 4, replace = TRUE), ncol = 4) 

最佳的方式：

molten <- melt(Full.df, id.vars = c("Date", "Month"), 
    variable.name = "Category", value.name = "Count") 
ggplot(data = molten, aes(x = Month, y = Count, colour = Category)) + 
    stat_summary(fun.y = sum, geom ="line") + 
    scale_x_date(labels = date_format("%m-%y"), breaks = "3 months") 

替代使用多个geoms但没有传说：

ggplot(Full.df, aes(x = Month)) + 
    stat_summary(aes(y = Count.S), colour = "blue", fun.y = sum, geom = "line") + 
    stat_summary(aes(y = Count.G), colour = "red", fun.y = sum, geom = "line") + 
    stat_summary(aes(y = Count.W), colour = "green", fun.y = sum, geom = "line") + 
    stat_summary(aes(y = Count.F), colour = "orange", fun.y = sum, geom = "line") + 
    scale_x_date(labels = date_format("%m-%y"), breaks = "3 months")