I am not very familiar with dates, but you can study functions as.Dateor strptime. Using your data.frame:
df <- data.frame(time = c("0m 22s", "1m 7s", "3m 35s", "11m 43s", "1m 8s", "2m 21s", "9m 33s", "0m 56s", "0m 2s", "0m 2s", "0m 50s", "0m 25s", "0m 33s", "2m 26s", "0m 20s", "1m 47s", "0m 36s", "0m 3s", "0m 2s", "0m 5s"))
df$time.2 <- strptime(df$time, "%Mm %Ss")
Now you can select specific values, just take a look at
attributes(df[, "time.2"])
and assign
df$min <- df[, "time.2"][["min"]]
df$sec <- df[, "time.2"][["sec"]]
this gives:
R> df
time time.2 min sec
1 0m 22s 2010-12-02 00:00:22 0 22
2 1m 7s 2010-12-02 00:01:07 1 7
3 3m 35s 2010-12-02 00:03:35 3 35
4 11m 43s 2010-12-02 00:11:43 11 43
5 1m 8s 2010-12-02 00:01:08 1 8
6 2m 21s 2010-12-02 00:02:21 2 21
7 9m 33s 2010-12-02 00:09:33 9 33
8 0m 56s 2010-12-02 00:00:56 0 56
9 0m 2s 2010-12-02 00:00:02 0 2
10 0m 2s 2010-12-02 00:00:02 0 2
11 0m 50s 2010-12-02 00:00:50 0 50
12 0m 25s 2010-12-02 00:00:25 0 25
13 0m 33s 2010-12-02 00:00:33 0 33
14 2m 26s 2010-12-02 00:02:26 2 26
15 0m 20s 2010-12-02 00:00:20 0 20
16 1m 47s 2010-12-02 00:01:47 1 47
17 0m 36s 2010-12-02 00:00:36 0 36
18 0m 3s 2010-12-02 00:00:03 0 3
19 0m 2s 2010-12-02 00:00:02 0 2
20 0m 5s 2010-12-02 00:00:05 0 5
EDIT:
data.frame, , min sec time.2.
df$time.2 <- strptime(df$time, "%Mm %Ss")
sum(df[, "time.2"][["min"]])
R> [1] 30