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• Develop for Desktop and mobile use?

  - by ran2

  I am in the very beginning of developing an app / desktop program. I want it to be cross-platform and possibly also as a tablet version (preferably Android Icecream sandwich). Note that I need to run it offline. I thought about the following approaches: ADOBE Air, since I do not need much performance. Plus I did some web programming in the past which might be of some use. Afaik it would run on OS X and Windows and should run on mobile OSes, too. Qt. Found some nice Qt based desktop recently and read it also works on android. Plus I like the SDK. HTML5 / JS. Again my web background should help me here. I wont need no sever side scripts, thus it should work without installing anything but a browser. How easy could this be converted into an Android app? There might be a plethora of other (better) ways to do it, but I haven't thought of them yet. Can you help out? How would you create such an application. Would it be better to do some pure desktop client and then create tablet versions? Would you rather start to create a website and worry later on how to turn into an app?

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• How to market R at your institute?

  - by ran2

  Okay, I admit there are lots of threads R vs. something. The strengths of R are obvious to most people here. Still though advertising R in an environment that has been preferring various kinds of other software for quite some time is not easy. Moreover, even in the limited time I´ve been dealing with R, it improved so dramatically that I would mention things among its strengths that I would not have listed when I started my personal R-evolution. So, what I am trying to do here is to collect the most recent and striking arguments that can be put in nutshell and be presented easily. What I got on my list so far is: the Springer useR series ggplot2 and its documentation open source CRAN Rapache rcpp rsocket What can you add to this list? SO threads are also very welcome as answers. EDIT: so far, though indeed very helpful, most answers are arguments (pros) why one would want to use R. Do you have some specific hints that I could include in some kind of overview presentation? EDIT2: I wanted to add this link about R's future to the list...

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• Improve speed of a JOIN in MySQL

  - by ran2

  Dear all, I know there a similar threads around, but this is really the first time I realize that query speed might affect me - so it´s not that easy for me to really make the transfer from other folks problems. That being said I have using the following query successfully with smaller data, but if I use it on what are mildly large tables (about 120,000 records). I am waiting for hours. INSERT INTO anothertable (id,someint1,someint1,somevarchar1,somevarchar1) SELECT DISTINCT md.id,md.someint1,md.someint1,md.somevarchar1,pd.somevarchar1 from table1 AS md JOIN table2 AS pd ON (md.id = pd.id); Tables 1 and 2 contain about 120,000 records. The query has been running for almost 2 hours right now. Is this normal? Do I just have to wait. I really have no idea, but I am pretty sure that one could do it better since it´s my very first try. I read about indexing, but dont know yet what to index in my case? Thanks for any suggestions - feel free to point my to the very beginners guides ! best matt

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