[R] removing NA values from data frame & identification function

[Peter Dalgaard BSA]

Faheem Mitha <faheem at email.unc.edu> writes:

> Dear people,
> 
> 1) I have a data frame with named columns.For concreteness, let us say
> that I created a data frame from the vectors fee, fi fo, fum by
> 
> giant.df <- cbind(fee, fi, fo, fum)
> 
> Now, some of the entries in fee, fi fo fum are NAs. I want to remove any
> row which contains a NA, thus creating a new, smaller data frame, with the
> same column names. This seems like something people would need to do all
> the time, but I have been unable to think of a clean way to do it.

This would seem to do what you want:

giant.df.clean <- na.omit(giant.df) 

or 

subset(giant.df, complete.cases(giant.df))

or

giant.df[complete.cases(giant.df),]


However, this works on data frames and your giant.df is a matrix,
*not* a data frame. Use

giant.df <- data.frame(fee, fi, fo, fum)

and then go for the golden easter eggs...

-- 
   O__  ---- Peter Dalgaard             Blegdamsvej 3  
  c/ /'_ --- Dept. of Biostatistics     2200 Cph. N   
 (*) \(*) -- University of Copenhagen   Denmark      Ph: (+45) 35327918
~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk)             FAX: (+45) 35327907
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