Hi R users, I apologize for a seemingly trivial question, but I felt this forum would be the best place to seek advice. I have been an R user for a year now, but I am limited to using R and its various contributed packages. I strongly feel that users of a free and open source software tool must eventually provide development expertise. I am aware of the extensive documentation available on the R project page regarding Internals, Language definitions and the like, but I would like to find tutorials on R development, much the same way as there are tutorials for the use of R in statistics and data analysis. Information on Book titles, online sources, etc that you maybe aware of which could allow a user of R to also develop R (packages, improvise on functions, etc) would be much appreciated. For example, I have used the adf.test in package 'tseries' but the test assumes a certain form the the time series process. There are 3 forms in literature, and the other 2 are not used. I would like to modify the adf.test to incorporate the other two forms as well. Thanks Harsh Singhal [[alternative HTML version deleted]]
markleeds at verizon.net
2009-Apr-01 15:11 UTC
[R] Learning development concepts in R for newbie users
Hi: I have had a similar issue so below are? ways that I deal with that.? ? i don't think there are manuals/ documentation for becoming more of a developer ( someone can correct me if I'm wrong and I'd be happy to be wrong )? but there are other? ways: 1) Staying on this list as much as possible and watching what people send as solutions and trying to solve them yourself 2) printing out package source code. For adf.test, look at the source and then try to figure out from that what you want to do. Most of the code from packages is written beautifully and therefore it's often not that difficult to understand. 3) Reading the? R Language Defintion manual. I found that about 6 months ago and it was really interesting and helpful. 4) Asking the R guRus questions without overwhelming/annoying them. If you stay on this list, you will fquickly figure out who they are. ? ? There are many and some know everything and others are experts in specific areas.? They are? quite generous with ? ? their expertise and time. But, you should keep in mind that they help for free and it's not their job so try to minimize your ? ? bothers. ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? Good luck. On Apr 1, 2009, Harsh <singhalblr at gmail.com> wrote: Hi R users, I apologize for a seemingly trivial question, but I felt this forum would be the best place to seek advice. I have been an R user for a year now, but I am limited to using R and its various contributed packages. I strongly feel that users of a free and open source software tool must eventually provide development expertise. I am aware of the extensive documentation available on the R project page regarding Internals, Language definitions and the like, but I would like to find tutorials on R development, much the same way as there are tutorials for the use of R in statistics and data analysis. Information on Book titles, online sources, etc that you maybe aware of which could allow a user of R to also develop R (packages, improvise on functions, etc) would be much appreciated. For example, I have used the adf.test in package 'tseries' but the test assumes a certain form the the time series process. There are 3 forms in literature, and the other 2 are not used. I would like to modify the adf.test to incorporate the other two forms as well. Thanks Harsh Singhal [[alternative HTML version deleted]] ______________________________________________ [1]R-help at r-project.org mailing list [2]https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide [3]http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. References 1. mailto:R-help at r-project.org 2. https://stat.ethz.ch/mailman/listinfo/r-help 3. http://www.R-project.org/posting-guide.html