# Re: [R] plot rownames

From: T.D.Rudolph <prairie.picker_at_gmail.com>
Date: Wed, 28 May 2008 11:17:35 -0700 (PDT)

I did have the problem of not having two continuous variables and this approach circumvents this, allowing me in fact to plot the rownames.

Prof Brian Ripley wrote:
>
> 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
>> --
>> View this message in context:
>> http://www.nabble.com/plot-rownames-tp17504882p17504882.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> R-help_at_r-project.org mailing list
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>> and provide commented, minimal, self-contained, reproducible code.
>>
```

>
> --
> Brian D. Ripley, ripley@stats.ox.ac.uk
> Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
> University of Oxford, Tel: +44 1865 272861 (self)
> 1 South Parks Road, +44 1865 272866 (PA)
> Oxford OX1 3TG, UK Fax: +44 1865 272595
>
> ______________________________________________
> R-help_at_r-project.org mailing list
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> and provide commented, minimal, self-contained, reproducible code.
>
>
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