Try the following:
Data <- read.table('Sample.txt', header=T)> Data
ID UNAV
1 1694 999.89
2 1696 999.90
3 1694 999.87
4 1696 999.88
5 1694 999.84
6 1696 999.86
7 1694 999.82
8 1696 999.84
9 1694 999.79
10 1696 999.82
11 1694 999.71
12 1696 999.75
13 1694 999.69
14 1696 999.73
15 1694 999.66
16 1696 999.71
17 1694 999.64
18 1696 999.69
19 1694 999.61
20 1696 999.67
21 1694 999.54
22 1696 999.70
23 1694 999.51
24 1696 1002.24
25 1694 999.48
26 1696 1012.14
27 1694 999.46
28 1696 1003.38
29 1694 999.43
Then type:
Data_Ordered <- Data[order(Data$ID),]> Data_Ordered
ID UNAV
1 1694 999.89
3 1694 999.87
5 1694 999.84
7 1694 999.82
9 1694 999.79
11 1694 999.71
13 1694 999.69
15 1694 999.66
17 1694 999.64
19 1694 999.61
21 1694 999.54
23 1694 999.51
25 1694 999.48
27 1694 999.46
29 1694 999.43
2 1696 999.90
4 1696 999.88
6 1696 999.86
8 1696 999.84
10 1696 999.82
12 1696 999.75
14 1696 999.73
16 1696 999.71
18 1696 999.69
20 1696 999.67
22 1696 999.70
24 1696 1002.24
26 1696 1012.14
28 1696 1003.38
Not sure if this is what you were looking for.
-Nandi
On Sep 10, 4:06?am, Conrad Addo <conrad.a... at gmail.com>
wrote:> I currently have a data frame with a Fund ID and NAV value. ?Is it possible
> to order the data frame and move to separate columns in a new data frame or
> matrix in R without using a for loop? ?I suppose I'd like to use a
built in
> function to make it faster because I will have around 60,000 entries to
sort
> and my current program takes too long to do this. ?I know how to use order,
> but is there a way to separate the result and place into new vectors of a
> matrix or data frame?
>
> Thanks
>
> Conrad
>
> Here are my vectors which I import from a csv file:
>
> ?ID UNAV ?#1694 999.89 ?#1696 999.9 ?#1694 999.87 ?#1696 999.88 ?#1694
> 999.84 ?#1696 999.86 ?#1694 999.82 ?#1696 999.84 ?#1694 999.79 ?#1696
999.82
> #1694 999.71 ?#1696 999.75 ?#1694 999.69 ?#1696 999.73 ?#1694 999.66 ?#1696
> 999.71 ?#1694 999.64 ?#1696 999.69 ?#1694 999.61 ?#1696 999.67 ?#1694
999.54
> #1696 999.7 ?#1694 999.51 ?#1696 1002.24 ?#1694 999.48 ?#1696 1012.14
?#1694
> 999.46 ?#1696 1003.38 ?#1694 999.43
>
> ? ? ? ? [[alternative HTML version deleted]]
>
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