This is that i obtained.

There isn't a method to replace the NA values only for character variable?






2007/3/30, Gabor Grothendieck <[EMAIL PROTECTED]>:
>
> I assume you are referring to na.roughfix in randomForest.  I don't think
> it
> works for logical vectors or for factors outside of data frames:
>
> > library(randomForest)
> > DF <- data.frame(a = c(T, F, T, NA, T), b = c(1:3, NA, 5))
> > na.roughfix(DF)
> Error in na.roughfix.data.frame(DF) : na.roughfix only works for
> numeric or factor
> > DF$a <- factor(DF$a)
> > na.roughfix(DF$a)
> Error in na.roughfix.default(DF$a) : roughfix can only deal with numeric
> data.
> > na.roughfix(DF)
>      a   b
> 1  TRUE 1.0
> 2 FALSE 2.0
> 3  TRUE 3.0
> 4  TRUE 2.5
> 5  TRUE 5.0
>
>
> On 3/30/07, Sergio Della Franca <[EMAIL PROTECTED]> wrote:
> > Dear R-Helpers,
> >
> >
> > I have the following data set(y):
> >
> >  Test_Result   #_Test
> >    t                 10
> >    f                 14
> >    f                 25
> >    f                 NA
> >    f                 40
> >    t                45
> >    t                44
> >  <NA>           47
> >    t                NA
> >
> >
> > I want to replace the NA values with the following method:
> > - for the numeric variable, replace NA with median
> > - for character variable , replace NA with the most frequent level
> >
> > If i use x<-na.roughfix(y) the NA values are correctly replaced.
> > But if i x<-na.roughfix(y$Test_Result) i obtain the following error:
> >
> > roughfix can only deal with numeric data.
> >
> > How can i solve this proble that i met every time i want to replace only
> the
> > NA values of a column (type character)?
> >
> > Thank you in advance.
> >
> >
> > Sergio Della Franca
> >
> >        [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > [email protected] 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.
> >
>

        [[alternative HTML version deleted]]

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