Lau*_*raR 1 r ggplot2 dataframe melt
这个问题类似于r - data frame of list into a data frame但没有真正足够的答案。
我有一个df时间序列数据,将建模与量具数据进行比较。有关数据的子部分,请参见下文:
Date        GageFlow  base0      1a       1b       2a        2b       3a       
2003-10-01     78.6 72.43154 64.55318 64.55318 64.55318 64.55318 64.55318 
2003-10-02     88.6 74.94789 68.48789 68.48789 68.48789 68.48789 68.48789 
2003-10-03     96.6 75.08756 69.75530 69.75530 69.75530 69.75530 69.75530 
2003-10-04     93.1 74.45323 66.67482 66.67482 66.67482 66.67482 66.67482 
2003-10-05     90.2 72.89045 65.24120 65.24120 65.24120 65.24120 65.24120 
2003-10-06     96.0 73.89078 67.88296 67.88296 67.88296 67.88296 67.88296 
在str我的数据是:
'data.frame':   3653 obs. of  11 variables:
 $ Date    : Date, format: "2003-10-01" "2003-10-02" ...
 $ GageFlow: num  78.6 88.6 96.6 93.1 90.2 96 96 97.8 98.7 99.8 ...
 $ base0   :'data.frame':   3653 obs. of  1 variable:
  ..$ base0: num  72.4 74.9 75.1 74.5 72.9 ...
我想用ggplot做模拟的场景与情节geom_lines的(base0,1a,1b等)GageFlow,用x-axis的是timeseries(x=Date)提供。问题是,当我melt尝试以高格式获取它时,我收到一个错误:
错误:无法融合具有非原子“度量”列的 data.frames 此外:警告消息:度量变量之间的属性不相同;他们将被丢弃
我是否真的需要重组我的df或有什么方法可以melt,或使用另一个函数来生成这样的图。当然,我可以做到这一点,但我正在努力提高效率。
谢谢!
要解决这个问题,你必须变换base0变量。
str(df)
## 'data.frame':    6 obs. of  8 variables:
##  $ Date    : Date, format: "2003-10-01" ...
##  $ GageFlow: num  78.6 88.6 96.6 93.1 90.2 96
##  $ base0   :'data.frame':    6 obs. of  1 variable:
##   ..$ df$base0: num  72.4 74.9 75.1 74.5 72.9 ...
# Alternatively, you can use df$base0 <- df$base0[, 1]
# if you only have few columns which classes are data.frame
df[] <- lapply(df, unlist)
str(df)
## 'data.frame':    6 obs. of  8 variables:
##  $ Date    : Date, format: "2003-10-01" ...
##  $ GageFlow: num  78.6 88.6 96.6 93.1 90.2 96
##  $ base0   : num  72.4 74.9 75.1 74.5 72.9 ...
df <- melt(df, "Date")
ggplot(df, aes(x=Date, y=value, color=variable)) + geom_line()