On 20/08/09 14:15, Anne Skoeries wrote:
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?
I think that is impossible, unless you redefine mathematics and
geometry. Sadly R only supports a relatively usual form of mathematics
where log(0) is by convention -Inf, and the graphics is basically
Euclidean so you can't draw infinities easily. You could try filing a
bug report....
What is min(dat)? If that is zero, then you can't use a log scale. If
it is small but positive, then you can use that for your ylim.
But your data set is a large range and therefore intrinsically hard to
visualize. Consider some other way of presenting the data. What is the
reader supposed to learn from / do with the data you show?
Hope this helps a little.
Allan
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