On Jan 28, 2012, at 3:45 PM, Dimitris Rizopoulos wrote:

how about

x[x < 10 & !is.na(x)]


Besides this and the which() strategy there is also:

subset(x, x<10)


I hope it helps.

Best,
Dimitris


On 1/28/2012 9:36 PM, Federico Calboli wrote:
Dear All,

just a quick example:


x  = 1:25
x[12] = NA

x
[1] 1 2 3 4 5 6 7 8 9 10 11 NA 13 14 15 16 17 18 19 20 21 22 23 24 25

y = x[x<10]
y
 [1]  1  2  3  4  5  6  7  8  9 NA

Is there any way of NOT getting NA for y = x[x<10]? Similarly

y = x[x<15]
y
 [1]  1  2  3  4  5  6  7  8  9 10 11 NA 13 14


How do I get rid of the NA (not post hoc)?

BW

F



--
Federico C. F. Calboli
Neuroepidemiology and Ageing Research
Imperial College, St. Mary's Campus
Norfolk Place, London W2 1PG

Tel +44 (0)20 75941602   Fax +44 (0)20 75943193

f.calboli [.a.t] imperial.ac.uk
f.calboli [.a.t] gmail.com

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--
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center

Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
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David Winsemius, MD
West Hartford, CT

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