[R] Removing outliers

[jim holtman]

It is hard to tell with reproducible example; e.g., you data is
missing.  At least provide 'str(dados)' so we have an idea of what it
looks like.  My "guess" is that you want 'dados[[i]]' instead of
'dados[i]'.  Also a stack trace would be useful.  There was a
discussion yesterday about trapping errors and getting the stack
trace.

On Thu, Nov 10, 2011 at 5:21 AM, Filipe Ferminiano Rodrigues
<filipe.ferminiano at gmail.com> wrote:
> Hi,
> I want to remove the outliers of my database with the following program (an
> observation is considered an outlier if it is bigger than second quartile +
> 1,5* distance interquartiles or less than second quartile - 1,5*distance
> interquartiles):
>
> for(i in 1:length(dados)){
> q3=quantile(dados[i], probs=.75)
> q3=quantile(dados[i], probs=.50)
> q1=quantile(dados[i], probs=.25)
> d=q3-q1
> for(i2 in 1:length(dados$quest_1)) {
> if (dados[i2,i] < q2-1.5*d) dados[i2,i]=NULL
> else if (dados[i2,i] > q2+1.5*d) dados[i2,i]=NULL
> }
> }
>
> But R is returning the following error message:
>
> Erro em `[.data.frame`(x, order(x, na.last = na.last, decreasing =
> decreasing)) :
>  undefined columns selected
>
> Anyone can help me fix this?
>
>        [[alternative HTML version deleted]]
>
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>



-- 
Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.