PUBLIC MARKS from m.meixide with tags r & FLR

A veces uno se encuentra con que R no trae todos los paquetes que uno necesita, así que hay que buscar en la lista de paquetes del proyecto para encontrar lo que se ajuste a las necesidades. Después de encontrarlo toca instalarlo. He aquí un ejemplo práctico

En Ubuntu (o cualquier otra distribución de linux), en condiciones normales R funciona dentro de la consola o terminal, y por lo tanto no tiene una GUI propia. Además, si uno quiere instalarse la última versión, no siempre va a poder hacerlo a través de Synaptic, porque los repositorios tardan algún tiempo en publicar los programas. Este tutorial explica una manera sencilla de hacerlo.

R is a software environment for statistical analyses and graphics that has several characteristics that make it attractive for fisheries science work, * R is free, open source, and runs on UNIX, Windows, and Macintosh platforms, * R has excellent and extensive graphing capabilities, * The programming language in R is very powerful, flexible, and has many built-in statistical functions, * The programming language can be extended with user-written functions, * The programming language is continuously being developed and made available by a large group of international researchers, * The next step to programming other languages will be made easier by experience with the object-oriented R programming language, and * R commands are typed rather than selected from menus which allows "scripts" of analytical techniques to be developed and shared. Because of these advantages the R environment is rapidly gaining popularity, both generally and within the fisheries science field. However, because R is a language that must be learned many users may not adopt R as an analytical engine.

RKWard is meant to become an easy to use, transparent frontend to the R-language, a very powerful, yet hard-to-get-into scripting-language with a strong focus on statistic functions. It will not only provide a convenient user-interface, however, but also take care of seamless integration with an office-suite. Practical statistics is not just about calculating, after all, but also about documenting and ultimately publishing the results.

JGR (speak 'Jaguar') is a universal and unified Graphical User Interface for R (it actually abbreviates Java Gui for R). JGR was introduced at the useR! meeting in 2004 and there is an introductory article in the Statistical Computing and Graphics Newsletter Vol 16 nr 2 p9-12