This might help the first question:
da - (-1):1
x - data.frame(a1=sample(da,10,TRUE), a2=sample(da,10,TRUE),
a3=sample(da,10,TRUE))
x
a1 a2 a3
1 0 1 0
2 0 0 1
3 0 1 0
4 -1 0 -1
5 1 0 -1
6 1 1 -1
7 1 -1 -1
8 -1 0 0
9 1 1 0
10 0 1 0
is.na(x[1:3]) - x[1:3] == -1
x
a1 a2 a3
1 0 1 0
2 0 0 1
3 0 1 0
4 NA 0 NA
5 1 0 NA
6 1 1 NA
7 1 NA NA
8 NA 0 0
9 1 1 0
10 0 1 0
On Mon, Jun 9, 2008 at 11:18 AM, Michael Pearmain [EMAIL PROTECTED]
wrote:
Hi All,
Newbie question that i'm sure is easy, but i can't seem to apply properly
I read in a datafram from a CSV file and i want to tell R that from coloum
n_0 to n_32 the value -1 is missing data
i was looking at the
is.na(xx) - c(..,...,) idea but i can't seem to apply it properly, can
anyone offer advice?
On a side issue while i'm asking i have a an XML that i intend to use to
add
value labels and variable labels to the dataframe (using a python script)
but i can't seem to find the syntax for adding value labels? i.e 1=Male
2=Female
the labels command doesn't look like the one i want to use, and i've
searched the archives but to no avail (maybe it's a too simple, but i have
looked)
Any help willing accepted
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What is the problem you are trying to solve?
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