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
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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 ...
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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()
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