On Sun, 2005-06-12 at 00:13 +0100, Marcus D. Hanwell wrote: > On Saturday 11 June 2005 23:54, Brian J. Lopes wrote: > > > I would appreciate any pointers, links etc. I would also consider > > > alternate tools. I still haven't found that great plotting tool that > > > seems to do all I > > > > I think R should be able to handle all that you need or want. I use > > it all the time for my work. If you go to the R project website, you > > can find a link under Manuals to "An Introduction to R". In that > > you'll find a decent (not extremely thorough, but useful) explaination > > behind the graphics in R. Here is a direct link to the section I'm > > talking about: > > > > http://cran.r-project.org/doc/manuals/R-intro.html#Graphics > > > I have already read through most of this, and whilst it provided a good > overview I found it lacking in many areas. As my other reply stated I have > however come across the contributed docs and some of those seem to fill some > of these holes. > > > > need in Linux just yet... May be there is an R package I would be > > > much better > > > off using. > > > > This is definitely a possibility, but it would depend on exactly what > > kind of analysis you are doing or plotting. > > It is mainly to allow me to produce good quality plots for publication and at > some point in the future my thesis. See the plot I linked to - it is not > quite up to scratch just yet in several areas such as the axes not scaling as > I set them and the y scale numbers falling off the plot. I also want to get > it displaying them in scientific notation - i.e. 0.5x10^-3 etc if possible... > I might just divide through by 1000 and change the scale to microamps in this > particular case though.
The "sprintf" function will convert number formats as needed. You can use the output in the "axis" call. Or take a look at ?plotmath. It shows how to do superscript exponents. THK > > I do work with X-ray/neutron reflectivity where I need to have a log scale > and > display that in scientific notation though. Grace can do all this, but as I > said I like the idea of being able to write several R programs to process my > results in various ways which are fairly standard. > > Thanks for the tips, > > Marcus -- [email protected] mailing list
