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Asked: 2026-05-26T04:47:02+00:00

I have a big list, but micro example would be like the following: A

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I have a big list, but micro example would be like the following: 

A <- c("A", "a", "A", "a", "A")
B <- c("A", "A", "a", "a", "a")
C <- c(1, 2, 3, 1, 4) 
mylist <- list(A=A, B=B, C= C)

expected output is merge A with B so that each component will look like AB

AA, aA, Aa, aa, Aa

better should be sorted, upper case is always first 

AA, Aa, Aa, aa, Aa

Thus new list or matrix should have two columns or rows:

AA, Aa, Aa, aa, Aa
1,   2, 3,   1, 4

Now I want calculate average of C based on class – “AA”, “Aa”, and “aa”

Looks simple but I could not figure out easily.

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1 Answer

  1. Editorial Team
    > (ab <- paste(A, B, sep="") )
[1] "AA" "aA" "Aa" "aa" "Aa"
> (ab <- paste(A, B, sep="") )  # the joining step
[1] "AA" "aA" "Aa" "aa" "Aa"
> (ab <- sub("([a-z])([A-Z])", "\\2\\1", ab) ) # swap lowercase uppercase
[1] "AA" "Aa" "Aa" "aa" "Aa"

> rbind(ab, C)                  # matrix
   [,1] [,2] [,3] [,4] [,5]
ab "AA" "Aa" "Aa" "aa" "Aa"
C  "1"  "2"  "3"  "1"  "4" 
> data.frame(alleles=ab, count=C)  # dataframes are lists
  alleles count
1      AA     1
2      Aa     2
3      Aa     3
4      aa     1
5      Aa     4
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