Or this:
new.DF <- subset(dat, select = V3:V9)
> str(new.DF)
'data.frame': 16 obs. of 7 variables:
$ V3: num 9 18 15 15 21 21 12 15 21 19.5 ...
$ V4: int 18 8 8 6 21 21 21 9 21 18 ...
$ V5: num 12 12 12 18 21 ...
$ V6: num 18 18 12 6 21 21 21 18 21 19.5 ...
$ V7: num 15 15 18 18 21 21 21 15 21 16.5 ...
$ V8: num 12 12 12 15 21 21 21 15 21 19.5 ...
$ V9: num 6 18 12 9 21 21 21 6 21 18 ...
See ?subset for the above and ?"[.data.frame" for additional information
on subsetting data frames, which is also covered in An Introduction to R.
HTH,
Marc Schwartz
on 01/04/2009 08:42 PM Jorge Ivan Velez wrote:
> Dear Gundala,
> Try this:
>
>> ex<-paste("V",3:9,sep="")
>> new.dat<-dat[,ex]
>> new.dat
>
> HTH,
>
> Jorge
>
>
>
> On Sun, Jan 4, 2009 at 9:36 PM, Gundala Viswanath <gunda...@gmail.com>wrote:
>
>> 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)
>>
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