How to convert a list consisting of vector of different lengths to a usable data frame in R? -

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i have (fairly long) list of vectors. vectors consist of russian words got using strsplit() function on sentences.

the following head() returns: 

[[1]] [1] "модно"     "создавать" "резюме"    "в"         "виде"       [[2]] [1] "ты"        "начианешь" "работать"  "с"         "этими"      [[3]] [1] "модно"            "называть"         "блогер-рилейшенз" "―"                "начинается"       "задолго"           [[4]] [1] "видел" "по"    "сыну," "что"   "он"     [[5]] [1] "четырнадцать," "я"             "поселился"     "на"            "улице"          [[6]] [1] "широко"     "продолжали" "род."

note vectors of different length.

what want able read first words each sentence, second word, third, etc.

the desired result this: 

    p1              p2           p3                 p4    p5           p6 [1] "модно"         "создавать"  "резюме"           "в"   "виде"       na [2] "ты"            "начианешь"  "работать"         "с"   "этими"      na [3] "модно"         "называть"   "блогер-рилейшенз" "―"   "начинается" "задолго"          [4] "видел"         "по"         "сыну,"            "что" "он"         na [5] "четырнадцать," "я"          "поселился"        "на"  "улице"      na [6] "широко"        "продолжали" "род."             na    na           na

i have tried use data.frame() didn't work because rows of different length. tried rbind.fill() plyr package, function can process matrices.

i found other questions here (that's got plyr from), combining instance 2 data frames of different size.

thanks help.

try this: 

word.list <- list(letters[1:4], letters[1:5], letters[1:2], letters[1:6]) n.obs <- sapply(word.list, length) seq.max <- seq_len(max(n.obs)) mat <- t(sapply(word.list, "[", = seq.max))

the trick is, that, 

c(1:2)[1:4]

returns vector + 2 nas


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