Here is the example.
> age=18:29
> height=c(76.1,77,78.1,78.2,78.8,79.7,79.9,81.1,81.2,81.8,82.8,83.5)
> type=c("A", "B", "C", "D","A", "B", "C", "D","A", "B", "C", "D")
> typec=c("0","4","2","9","0","7","2","3","0","1","2","3")
> typen=c(0,1,2,3,0,1,2,3,0,1,2,3)
> data1=data.frame(age=age,height=height, type=type, typec=typec,
typen=typen)
> data1[,3]=as.numeric(data1[,3])
> data1[,4]=as.numeric(data1[,4])
> data1[,5]=as.numeric(data1[,5])
> print(data1)
and I got the output as:
age height type typec typen
1 18 76.1 1 1 0
2 19 77.0 2 5 1
3 20 78.1 3 3 2
4 21 78.2 4 7 3
5 22 78.8 1 1 0
6 23 79.7 2 6 1
7 24 79.9 3 3 2
8 25 81.1 4 4 3
9 26 81.2 1 1 0
10 27 81.8 2 2 1
11 28 82.8 3 3 2
12 29 83.5 4 4 3
The "typec" is not what I expected. How can I get the direct conversion
from character to numeric and get the following output?
age height type typec typen
1 18 76.1 1 0 0
2 19 77.0 2 4 1
3 20 78.1 3 2 2
4 21 78.2 4 9 3
5 22 78.8 1 0 0
6 23 79.7 2 7 1
7 24 79.9 3 2 2
8 25 81.1 4 3 3
9 26 81.2 1 0 0
10 27 81.8 2 1 1
11 28 82.8 3 2 2
12 29 83.5 4 3 3
Thanks.
Xumin
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