Вот способ сделать это в dplyr
:
library(dplyr)
df <- df %>%
mutate(id = 1:n()) %>%
mutate(new_freq = ifelse(id %% 2 != 0, paste0(FREQ, "+", lead(FREQ, 1)), paste0(lag(FREQ, 1), "+", FREQ)))
df <- df %>%
group_by(new_freq) %>%
mutate(new_cnt = sum(CNT))
unique(df[, 4:5])
# A tibble: 2 x 2
# Groups: new_freq [2]
# new_freq new_cnt
# <chr> <int>
#1 0+1 25
#2 2+3 1003
data
df <- structure(list(FREQ = 0:3, CNT = c(5L, 20L, 1000L, 3L)), class = "data.frame", row.names = c(NA, -4L))