299916 299918 299921     299922 299923     299925 299926      299927 299932
1926-01-15 0.00000000     NA     NA 0.00000000     NA 0.10714286     NA  0.03238868     NA
1926-02-15 0.02040818     NA     NA 0.00000000     NA 0.00000000     NA  0.00000000     NA
1926-03-15 0.00000000     NA     NA 0.00000000     NA 0.00000000     NA  0.00000000     NA
1926-04-15 0.00000000     NA     NA 0.00000000     NA 0.02990030     NA  0.00000000     NA
1926-05-15 0.00000000     NA     NA 0.00000000     NA 0.00000000     NA  0.00000000     NA
1926-06-15 0.00000000     NA     NA 0.02564103     NA 0.00000000     NA -0.03921569     NA
1926-07-15 0.00000000     NA     NA 0.00000000     NA 0.00000000     NA  0.03375532     NA
1926-08-15 0.02040820     NA     NA 0.00000000     NA 0.00000000     NA  0.00000000     NA
1926-09-15 0.00000000     NA     NA 0.00000000     NA 0.00000000     NA  0.00000000     NA
1926-10-15 0.00000000     NA     NA 0.00000000     NA 0.02990033     NA  0.00000000     NA
1926-11-15 0.00000000     NA     NA 0.00000000     NA 0.00000000     NA  0.00000000     NA
1926-12-15 0.00000000     NA     NA 0.05193955     NA 0.00000000     NA  0.00000000     NA

seasonal <- rollapply(df, FUN = function(x){
  for (i = month(df)){
    mean(df,month(df)==i)
  }
}, width=240)

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