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R is scripting language but mostly it is open source library of statistical tests with charting capabilities.It is easy to learn and use. Few lines of "code" (mostly calling library functions) will produce desired answer from simple descriptive stats to complex machine learning tests, signal processing etc. There are more than 4000 packages developed by individuals or universities with documentation. R is easiest to start. Python is slightly more complex and has extensive libraries as well. As with all statistics what really counts is to know which test applies to given problem and what to do with the test results. Both R and Python have lots of free information on the web and extensive literature in bookstores (Amazon).
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 Cool, it is interesting to see someone talking about R as being the easier one to start with any studies. I might have to look more into R to check that...
I agree with the knowlwdge thing, I'm already enrolled for a statistics course to see if I can get a better grasp on how/why to do the test.
Thanks!
There are no secrets to success. It is the result of preparation, hard work, and learning from failure. Colin Powell
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R doesn't do any stats stuff but there are well tested standard packages (libraries) that do. I've used some R in my job and it's fairly easy to work with, and for any vaguely standard stats the packages will just do it for you.
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Oh, I forgot to mention Stata[^].
It feels outdated but is quite capable.
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Some people already mentioned it, but I will mention it again, SPSS. I've used it at my University.
I still get nightmares from it, but that's probably because I'm allergic to math 
It's an OO world.
public class SanderRossel : Lazy<Person>
{
public void DoWork()
{
throw new NotSupportedException();
}
}
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Minitab. It is one of the most common statistical analysis softwares. It is used heavily in engineering and six sigma. It is also a very common statistics software in colleges.
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I feel like adding my .02
Worked at insurance company for years in SAS. It wasn't horrible as some propose but it does have some serious limitations. The company mainly needed a reporting tool. Should have used something else. SSRS maybe?
Worked at a college for many many years. SPSS, SAS and some stupid reporting tool called WebFocus (Biggest piece of garbage I have ever, ever had to deal with) We ended up writing our own modules in C for most of what we needed.
Worked at Commodities trading for a few years, WebFocus for reporting (Did I say biggest POS ever!)
Used parts of Mathematica or parts of F# for some serious math in there. It just worked.
I know this wasn't about reporting buttttt...
anyhoo SAS not horrible, SPSS barely works, Mathematica works.
Thanks
To err is human to really mess up you need a computer
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Cool,
It's nice to know you have a big array of software knowledge in your belt.
No worries, in most cases it will end up on reports... lol... How did F# performed? Was it easy to learn? And how was Mathematica?
regards
There are no secrets to success. It is the result of preparation, hard work, and learning from failure. Colin Powell
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What are you trying to do? If you just want to run some analysis on some data you already have, then SPSS is probably your best bet, although it is expensive (if you're at college then there's a good chance they'll have a license). If you want to include some stats tests in something you're writing then it really depends on what tests you need to include.
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Hi Christopher,
I'm actually trying gather as many ideas and points of view as possible.
This is a field that interest me and I would like to study the subject, maybe even run some experiments. who know... 
I thought that I would have to do something from scratch, but it appears that there are quite a few tools ready to be used. Unfortunately my university doesn't have any "agreement" to provide licenses for SPSS
Regards
There are no secrets to success. It is the result of preparation, hard work, and learning from failure. Colin Powell
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I wasn't so much thinking that your university would have an agreement to provide you with a license for SPSS, but more that someone would have a copy you could use - but that would only really have been useful if you had a specific data set you wanted to analyse.
A program that's widely used in biological sciences is Prism Graphpad. I've not used it myself, but my understanding is that it's quite straightforward (in contrast to SPSS, for example, which has a pretty step learning curve) and Prism provide a fully functioning 30 demo that you can download for free.
Once you've familiarised yourself with some of the tests then the best way to really learn about them would be to code them yourself!
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Oh, they have partnership with some software companies, so my mind jumped straight to that. I'll have to check if someone has a copy.
Thanks for all the advice, I'm not sure if Prism is the one, but it is worth a shot..
There are no secrets to success. It is the result of preparation, hard work, and learning from failure. Colin Powell
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http://sourceforge.net/projects/pspp4windows/[^]
Here is an open source SPSS clone that is very powerful. You may want to evaluate it. There are multiple environments.
"Courtesy is the product of a mature, disciplined mind ... ridicule is lack of the same - DPM"
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Hi,
Thx for the reply. One of the guys has already mentioned it.
It truly looks quite good. 
Regards
There are no secrets to success. It is the result of preparation, hard work, and learning from failure. Colin Powell
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Minitab () is popular amongst scientists and engineers.
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R is great if you want to learn a programming language and is free, but
if you want a powerful menu driven Stats tool, then you could try our program GenStat
(www.genstat.com). It's much cheaper than SAS or SPSS and has more modern statistics.
The software was started in 1968 so it has a long history of refinement and improvement.
David Baird
VSN NZ Ltd
GenStat developer.
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I'm grad student, doing some biological data analysis. Although I use R/Python/MATLAB exclusively, I have seen my colleagues use some of the following things. R/Python are standard norms here. Beyond that, if you're looking for tools with "nice" GUI and built-in analysis, you're really looking at a large variety. No tool does everything (or just-about-everything), but many tools do a lot of things.
On commercial end, cheapest to get into would be JMP. Then you're looking at Stata. SAS and SPSS are mostly cost-prohibitive unless a large company or university is paying. On open-source end, you have Deducer, which is similar to JMP (but has quite limited set of features). There's also Minitab for quality control related analysis.
There are some programs to help you with specific type of analysis. For example, machine learning and data mining related work can be done using Weka. Data mining and visualization using GGobi and Cranvas (requires R, but it's worth a look I think). Network analysis related statistics are available through Gephi and Cytoscape. Bayesian simulation via nice "friendly" programs based on BUGS Project.
There are tons more for specific types of tasks, but I think most of the tasks you wish to do, above mentioned tools can get you your answers.
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Wow, that is a lot of stuff new to me. Thank you, it might take me some time, but I'll try to look at all links provided
There are no secrets to success. It is the result of preparation, hard work, and learning from failure. Colin Powell
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Does anyone have any experience with this?
[SailfishOS.org]
It looks interesting. I quite like Qt.
I too dabbled in pacifism once.
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Mel Padden wrote: Does anyone have any experience with this?
Nope. Looks interesting, but that's the great thing about the Internet. Looks can be quite deceiving.
Marc
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let not be selfish (pun intented) and try it out and report.
I'd rather be phishing!
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Anyone else here watching it?
Are you for the Maroons or the Blues?
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Can I vote for the Cyans? I don't like Magenta...
Those who fail to learn history are doomed to repeat it. --- George Santayana (December 16, 1863 – September 26, 1952)
Those who fail to clear history are doomed to explain it. --- OriginalGriff (February 24, 1959 – ∞)
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Nope nobody ever watches it or comments about it on here. Not even that Aussie who's always whinging that his team lose it.
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