Perfect Erik! Thank you!
On Wed, May 4, 2011 at 4:22 PM, Erik Iverson <er...@ccbr.umn.edu> wrote:
> Dan,
>
>
>
> I am attempting to write a function to count the number of non-missing
>> values of each column in a data frame using the sapply function. I have
>> the
>> following code which is receiving the error message below.
>>
>>
>> n.valid<-sapply(data1,sum(!is.na))
>>>
>> Error in !is.na : invalid argument type
>>
>
> That's the FUN argument to sapply, which expects a function. is.na is
> indeed a function, but !is.na is not a function:
>
>
> > !is.na
> Error in !is.na : invalid argument type
>
> You need to write your own function to do what you want. Luckily this is
> easy. Let's write one to count the number of missing values in a vector.
>
> countNAs <- function(x) {
> sum(!is.na(x))
> }
>
> Now you have a function that does what you want, so you can use sapply with
> it.
>
> sapply(data1, countNAs)
>
> You could also do an anonymous (unnamed) function within sapply to the same
> effect.
>
> sapply(data1, function(x) sum(!is.na(x)))
>
> NB: none of this is tested!
>
> --Erik
>
>
>
>> Ultimately, I would like for this to be 1 conponent in a larger function
>> that will produce PROC CONTENTS style output. Something like...
>>
>> data1.contents<-data.frame(Variable=names(data1),
>> Class=sapply(data1,class),
>> n.valid=sapply(data1,sum(!is.na)),
>> n.miss=sapply(data1,sum(is.na)))
>> data1.contents
>>
>> Any suggestions/assistance are appreciated.
>>
>> Thank you,
>>
>> Daniel
>>
>> [[alternative HTML version deleted]]
>>
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>> PLEASE do read the posting guide
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>> and provide commented, minimal, self-contained, reproducible code.
>>
>
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