What about "starting" the data by adding some small amount to the 0's?
Perhaps something like
mysample <- data.frame(aa = sample(c("A","B","C"), 20, replace=TRUE),
bb = sample(0:9, 20, replace=TRUE))
ifelse(mysample$bb==0,.1, mysample$bb)
though you may wish to make .1 much smaller.
--- On Thu, 8/20/09, Anne Skoeries <h...@anne-skoeries.de> wrote:
> From: Anne Skoeries <h...@anne-skoeries.de>
> Subject: [R] boxplot with log="y" and values starting at 0
> To: r-help@r-project.org
> Received: Thursday, August 20, 2009, 9:15 AM
> Hi,
>
> I'm working with a data.frame containing values between 0
> and 22000.
> Most of the values are actually between 0 and 50 and the
> high ones are
> outliers.
> I want to generate a boxplot and since the outliers are
> extremely
> high, I need to scale the y scale logarithmically.
> Otherwise one
> wouldn't really see the boxes of the boxplot.
>
> boxplot(dat, log="y", ylim=c(0, max(dat)))
>
> Trying the above doesn't work, since the y scale has to be
> positive.
>
> But when I generate the boxplot with
> ylim=c(1, max(dat))
> it doesn't properly generate the whiskers or beginning of
> the boxes,
> because some of the mins and first quantiles are 0.
>
> Can anybody help and tell me how I can generate a
> logarithmic y scale
> starting at 0?
>
> Thanks in advance,
> --
> Anne Skoeries
>
>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
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