On Tue, 27 May 2008, T.D.Rudolph wrote:
>
> In the following example:
> x <- rnorm(1:100)
> y <- seq(from=-2.5, to=3.5, by=0.5)
> z <- as.matrix(table(cut(x,c(-Inf, y, +Inf))))
>
> ## I wish to transform the values in z
> j <- log(z)
>
> ## Yet retain the row names
> row.names(j)<-row.names(z)
Hmm. The rownames were retained and row.names() is for data frames,
rownames() for matrices.
> Now, how can I go about creating a scatterplot with row.names(j) on the
> x-axis and j(m:nrow(j)) on the y-axis? Keep in mind the transformation I
am
> conducting is more complicated and therefore cannot be plotted directly
> using log(z), which places me in this unique position.
You will need to explain what exactly you want plotted. A scatterplot is
of two continuous variables and you only have one (and 'j(m:nrow(j))' is
invaild R). But here is one possibility to get you started:
m <- nrow(j)
plot(j, xaxt="n", xlab="")
axis(1, 1:m, rownames(j), las=2)
>
> Tyler
> --
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>
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--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
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