Dear all,
I have the following data frame:
> dat
V1 V2 V3 V4 V5 V6 V7 V8 V9
1 1 AAAACACCCACCCCCCCCCCCCCCCCCCCCCCCC 9.0 18 12.00 18.0 15.0 12.0 6.0
2 1 ACGATACGGCGACCACCGAGATCTACACTCTTCC 18.0 8 12.00 18.0 15.0 12.0 18.0
3 1 ACTACTGCTCCCCCCCCACTCCCCCCCCCCCCCC 15.0 8 12.00 12.0 18.0 12.0 12.0
4 1 ACTTATACGGCGACCACCGAGATCTACACTCTTT 15.0 6 18.00 6.0 18.0 15.0 9.0
5 1 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC 21.0 21 21.00 21.0 21.0 21.0 21.0
6 1 CTACACTCTTTCCCTACACGCCGCTCTTCCGATC 21.0 21 21.00 21.0 21.0 21.0 21.0
7 1 TACACCGCCCCCCCCCATCTCCACACTCTCCCCC 12.0 21 12.00 21.0 21.0 21.0 21.0
8 1 TGATACGCCTACCACCGCCCTCTACACTCTCTCC 15.0 9 18.00 18.0 15.0 15.0 6.0
9 1 TGATACGGCGACCACCGAGATCTACACTCTCTCC 21.0 21 21.00 21.0 21.0 21.0 21.0
10 4 TGATACGGCGACCACCGAGATCTACACTCTTTCC 19.5 18 15.75 19.5 16.5 19.5 18.0
11 1 TGATACGGCGACCACCGAGGATCTACACTCTTTC 21.0 21 21.00 21.0 21.0 21.0 21.0
12 1 TGATACGGCGACCACCGAGGATCTCCACTCTCTC 21.0 21 21.00 21.0 21.0 21.0 21.0
13 2 TGCTCCGGCGACCACCGAGATCTACACTCTTTCC 18.0 8 12.00 18.0 13.5 18.0 13.5
14 1 TTATACGTCGACCACCGAGATCTACACTCTCTCC 18.0 18 18.00 18.0 18.0 18.0 15.0
15 1 TTCTCCGGCGACCACCGAGATCTACACTCTTTCC 18.0 7 9.00 18.0 12.0 18.0 15.0
16 1 TTCTCCGGCGACCACCGCGATCTACACTCTTTCC 18.0 7 9.00 18.0 12.0 18.0 15.0
My question is how can I extract the column V3 up to V9 into another
new data frame.
I tried this but failed:
str <- paste("V", 3:9, sep="")
print(dat$str)
- Gundala Viswanath
Jakarta - Indonesia
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