Is it possible to use the '\ell' (i.e. the log likelihood) in plots? I've been browsing the plotmath documentation unsucesfully. Cheers, Mario dos Reis mdosrei at nimr.mrc.ac.uk +44 (0)20 8816 2300 Division of Mathematical Biology National Institute for Medical Research The Ridgeway Mill Hill London, NW7 1AA, UK
Dear Mario, I don't know whether the $\ell$ symbol is available .. However you can use the LaTeX psfrag/pdfrag packages to convert tags in latex symbols.. hope this helps, vito Mario dos Reis wrote:> Is it possible to use the '\ell' (i.e. the log likelihood) in plots? > I've been browsing the plotmath documentation unsucesfully. > > Cheers, > Mario dos Reis > > mdosrei at nimr.mrc.ac.uk > +44 (0)20 8816 2300 > > Division of Mathematical Biology > National Institute for Medical Research > The Ridgeway > Mill Hill > London, NW7 1AA, UK > > ______________________________________________ > R-help at stat.math.ethz.ch 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. > >-- ===================================Vito M.R. Muggeo Dip.to Sc Statist e Matem `Vianelli' Universit? di Palermo viale delle Scienze, edificio 13 90128 Palermo - ITALY tel: 091 6626240 fax: 091 485726/485612
On Tue, 5 Jun 2007, Mario dos Reis wrote:> Is it possible to use the '\ell' (i.e. the log likelihood) in plots?'plots'? On what OS and what device? (There is no general solution here.)> I've been browsing the plotmath documentation unsucesfully.That symbol is in neither of the Latin-1 nor symbol encoding used in R's standard fonts for postscript(), pdf() and the like. Since it is not in the Adobe symbol encoding it is not accessible via plotmath. It is Unicode character U+2113, and so on UTF-8 R systems you may well be able to enter it as \u2113 and get it plotted on-screen in a suitable font. But we'd need to know a lot more about your system to advise on how exactly to do so. -- 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) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595