[R] How to ignore data

[Steve Sidney]

Thanks for the questions.

1) The data represents micro-organism counts and a count of zero in  
this case is highly unlikely given the info we have; including the other 
participants.
2) The data is submitted in duplicate and then a standardised sum and 
difference is established and is used to calculate a Z-score which is 
used as a measure of performance.

Given both 1) and 2) it is necessary to exclude a raw count of zero 
(since the log of 0 is meaningless) and a count of one (since the log of 
1 of course is zero).

I guess one can think of these values as outliers and that is what I am 
trying to exclude.

There is ample evidence that such an approach is acceptable.

Thanks for the interest
Steve

On 2010/12/13 06:47 PM, Stavros Macrakis wrote:
> If you need to take the log of the values for your calculation, then
> what does it mean that you have 0 values in the input?
>
> And why do you need to exclude the 1 values?
>
> Are you sure that a) you are doing the correct kind of analysis and b)
> the analysis is correct if you exclude 0 and 1?
>
>              -s
>
> On Mon, Dec 13, 2010 at 10:38, Steve Sidney<sbsidney at mweb.co.za>  wrote:
>> Dear list
>>
>> I have quite a small data set in which I need to have the following values
>> ignored - not used when performing an analysis but they need to be included
>> later in the report that I write.
>>
>> Can anyone help with a suggestion as to how this can be accomplished
>>
>> Values to be ignored
>>
>> 0 - zero and 1 this is in addition to NA (null)
>>
>> The reason is that I need to use the log10 of the values when performing the
>> calculation.
>>
>> Currently I hand massage the data set, about a 100 values, of which less
>> than 5 to 10 are in this category.
>>
>> The NA values are NOT the problem
>>
>> What I was hoping was that I did not have to use a series of if and ifelse
>> statements. Perhaps there is a more elegant solution.
>>
>> Any ideas would be welcomed.
>>
>> Regards
>> Steve
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>