On Oct 16, 2009, at 12:16 PM, Joel Fürstenberg-Hägg wrote:
Hi all,
I guess this might be an easy question, but I've searched multiple
help pages without finding any answear... so now I put my trust in
you!
I have a data frame (36 variables and 556 observations). One column
contains three factors, and I would like to divide the data frame
into three new ones, based on the value of the factors, thereby
having only one value for all elements of the particular column in
each of the data frames. The reason is that I later will create
plots and do statistical analyzes on these data frames, and I don't
want those factors affecting the result.
ID Weight Age_days ...
1 18 76.1 106
2 19 77.0 175
3 20 78.1 121
4 21 78.2 121
5 22 78.8 106
6 23 76.3 106
.
.
.
?split
I also have another column containing several factors, of which I
would like to exclude one (get NA instead).
ID Weight Age_days Value_ID ...
1 18 76.1 106 high
2 19 77.0 175 low
3 20 78.1 121 middle
4 21 78.2 121 high
5 22 78.8 106 high
6 23 76.3 106 number <-- exclude
7 24 76.9 175 low
.
.
.
?is.na # which has an is.na(<- capacity
I really hope someone could help me, though you might think it's too
easy...
Best regards,
Joel
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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