SPSS, SAS, R, Stata, JMP Choosing a Statistical Software Package or Two. In addition to the five listed in this title, there are quite a few other options, so how do you choose which statistical software to use The default is to use whatever software they used in your statistics classat least you know the basics. And this might turn out pretty well, but chances are it will fail you at some point. Many times the stat package used in a class is chosen for its shallow learning curve, not its ability to handle advanced analyses that are encountered in research. San Andreas 2015 Pc Cracked Pc. I think Ive used at least a dozen different statistics packages since my first stats class. And here are my observations 1. The first one you learn is the hardest to learn. There are many similarities in the logic and wording they use, even if the interface is different. So once youre learned one, it will be easier to learn the next one. You will have to learn another one. Just accept it.   If you have the self discipline to do it, I suggest learning two at the beginning. This will come in handy for a number of reasons My favorite stat package for a while was BMDP. Until the company was bought up by SPSS. Im not sure if they stopped producing or updating it, but my university cancelled their site license. Many schools offer only a site license for only one package, and it may not be the one youre used to. In part 1 of our handson series, we explain why Rs a great choice for basic data analysis and visualization work, and how to get started. I often use r and sometimes work with SPSS and Excel,but at all, i prefer to use R because i love programing and R is a wonderfull language. R isnt. I would love to be able to include MATLAB in the Popularity article. However that paper focuses on software used for statistical analysis, predictive analytics, etc. When I was at Cornell, they offered site licenses for 5 packages. But when a new stats professor decided to use JMP instead of Minitab, guess what happened to the Minitab site licenseWe all know that being seen as confident, but not cocky, at work can have a positive effect on our careers. From oneonone meeting with your boss to giving a. Unless youre sure youll never leave your current university, you may have to start over. In case you decide to outwit the powers that be in IT who control the site licenses and buy your own or use R, which is free, no software package does every type of analysis. There is huge overlap, to be sure, and the major ones are much more comprehensive than they were even 5 years ago. Even so, the gaps are in the most complicated analysessome mixed models, gee, complex sampling, etc. And when youre trying to learn a new, highly complicated statistical method is not the time to learn a new, highly complicated stats package. For these reasons, I recommend that everyone who plans to do research for the forseeable future learn two packages. I know, its hard enough to find the time to start over and learn one. Much less the self discipline. But if you can, it will save you grief later on. There are many great books, online tutorials, and workshops for learning all the major stats packages. But I also recommend you choose one as your primary package and learn it really, really well. The defaults and assumptions and wording are not the same across packages. Knowing how yours handles dummy coding or missing data is imperative to doing correct statistics. Which one Mainly it depends on the field youre in. Social scientists should generally learn SPSS as their main package, mainly because that is what their colleagues are using. You can then choose something else as a backupeither SAS, R, or Stata, based on availability and which makes most sense to you logically. Tagged as. Statistical Software.