[R] efficient is.na tabulation?

2008-02-25 Thread Angelo Passalacqua 
I am aware of

table(is.na(df$var))

but is there an efficient way of create a table that shows the number of
missing values in each variable of a data frame?

Right now I am forced to create a new variable, varna-is.na(df$var), for
each variable of the data frame, bind them to a new data frame and tabulate
it, but surely there is a simpler way?

any help is greatly appreciated,
angelo

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Re: [R] efficient is.na tabulation?

2008-02-25 Thread Chuck Cleland 
On 2/25/2008 8:59 AM, Angelo Passalacqua wrote:
 I am aware of
 
 table(is.na(df$var))
 
 but is there an efficient way of create a table that shows the number of
 missing values in each variable of a data frame?
 
 Right now I am forced to create a new variable, varna-is.na(df$var), for
 each variable of the data frame, bind them to a new data frame and tabulate
 it, but surely there is a simpler way?
 
 any help is greatly appreciated,
 angelo

   Are you looking for colSums(is.na(df)) or colMeans(is.na(df)) ?  The 
is.na function can be applied to whole data frames.

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