I\'ve looked extensively on stack overflow for a solution, but have yet to find one that works for me. I have a data frame that looks something like this:
id
Using dplyr
library(dplyr)
# data:
df <- structure(list(id = structure(c(1L, 1L, 2L, 2L, 3L, 3L), .Label = c("A",
"B", "C"), class = "factor"), time = structure(c(3L, 4L, 1L,
2L, 5L, 6L), .Label = c("10:56", "10:57", "11:10", "11:11", "4:30",
"4:31"), class = "factor"), latitude = c(381746, 381726.2, 381703,
381679.7, 381654.4, 381629.2), longitude = c(6008345L, 6008294L,
6008214L, 6008134L, 6008083L, 6008033L)), .Names = c("id", "time",
"latitude", "longitude"), row.names = c(NA, -6L), class = c("tbl_df",
"tbl", "data.frame"))
# code:
df %>% group_by(id) %>%
do({ df <- .
last_row <- df %>% slice(n())
last_row$latitude <- 394681.4
last_row$longitude <- 6017550
df <- bind_rows(df, last_row)
})