r - Count changes to contents of a character vector -


this question has answer here:

i have data_frame character variable x changes in time. want count number of times changes, , fill new vector count.

df <- data_frame(   x = c("a", "a", "b", "b", "c", "b"),   wanted = c(1, 1, 2, 2, 3, 4) )   x wanted 1      1 2      1 3 b      2 4 b      2 5 c      3 6 b      4

this similar to, different rle(df$x), return 

run length encoding   lengths: int [1:4] 2 2 1 1   values : chr [1:4] "a" "b" "c" "b"

i try rep() output. have tried this, awfully close, not reasons can't figure out immediately:

 df %>% mutate(     try_1 = cumsum(ifelse(x == lead(x) | is.na(lead(x)), 1, 0))     ) source: local data frame [6 x 3]    x wanted try_1 1      1     1 2      1     1 3 b      2     2 4 b      2     2 5 c      3     2 6 b      4     3

it seems there should function directly, haven't found in experience.

try dplyr code:

df %>%   mutate(try_1 = cumsum(ifelse(x != lag(x) | is.na(lag(x)), 1, 0)))    x wanted try_1 1      1     1 2      1     1 3 b      2     2 4 b      2     2 5 c      3     3 6 b      4     4

yours saying: increment count if value same following row's value, or if following row's value na.

this says: increment count if variable on row either different 1 on previous row, or if there wasn't 1 on previous row (e.g., row 1).


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