r - apply a function to a subset of a data frame but retain the whole data frame -

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i have data frame , vector identifying rows i'm interested in:

col1 <- c("june","june","june 11","june 11, 2012","june 14, 2012") col2 <- c("september", "september", "october 8", "october", "sept 27, 2012") monthdf <- data.frame(cbind(col1, col2), stringsasfactors = false) v0 <- c(1, 2)

i have 2 character vectors apply subset , specific columns.

startmonthv <- paste(c(" 1, ", substr(sys.date(), 1, 4)), collapse = "") endmonthv <- paste(c(" 28, ", substr(sys.date(), 1, 4)), collapse = "")

i've tried using variations of apply() function paste() being function want use, no avail. final result data frame of rows, looking - first 2 rows have been modified above startmonthv , endmonthv:

           col1                 col2 1  june 1, 2016   september 28, 2016 2  june 1, 2016   september 28, 2016 3       june 11            october 8 4 june 11, 2012              october 5 june 14, 2012        sept 27, 2012

i'm new r, , wondering if apply() family do, or using function within plyr package. stackoverflow answer i've found either applies whole data frame or collapses data aggregate() function.

thank you.

we can use mapply , assign result @ corresponding rows:

days <- c("1,", "28,") monthdf[v0, ] <- mapply(paste, monthdf[v0, ], days, substr(sys.date(), 1, 4)) monthdf            col1               col2 1  june 1, 2016 september 28, 2016 2  june 1, 2016 september 28, 2016 3       june 11          october 8 4 june 11, 2012            october 5 june 14, 2012      sept 27, 2012

here created vector days according specific days append columns.


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