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应用group_by和summarise(sum),但保留具有不相关冲突数据的列?

我的问题与Applying group_by非常相似,并在保留所有列信息的同时对数据进行汇总, 但我想保留被排除的列,因为它们在分组后会发生冲突。

Label <- c("203c","203c","204a","204a","204a","204a","204a","204a","204a","204a")
Type <- c("wholefish","flesh","flesh","fleshdelip","formula","formuladelip",
          "formula","formuladelip","wholefish", "wholefishdelip")
Proportion <- c(1,1,0.67714,0.67714,0.32285,0.32285,0.32285, 
                0.32285, 0.67714,0.67714)
N <- (1:10)
C <- (1:10)
Code <- c("c","a","a","b","a","b","c","d","c","d")

df <- data.frame(Label,Type, Proportion, N, C, Code)
df

   Label           Type Proportion  N  C Code
1   203c      wholefish     1.0000  1  1    c
2   203c          flesh     1.0000  2  2    a
3   204a          flesh     0.6771  3  3    a
4   204a     fleshdelip     0.6771  4  4    b
5   204a        formula     0.3228  5  5    a
6   204a   formuladelip …
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group-by r summarize tidyverse mutate

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