Several statistical softwares are available now a days? Which one is the most user friendly and easy to use for medical professionals?
Hi
1. There are many similarities between Statistical Software Packages (SPSS, SAS, R, Stata, JMP, …) in the logic and wording they use even if the interface is different.
2. Many schools offer only a site license for only one package, and it may not be the one you’re used to.
3. Statisticians, social scientists, … should generally learn SPSS as their main package, mainly because that is what their colleagues are using.
4. SPSS is used by market researchers, health researchers, survey companies, government entities, education researchers, marketing organizations, data miners, and many more for the processing and analyzing of survey data.
5. IBM SPSS Statistics software can help you find new relationships in the data and predict what will likely happen next.
Regards,
Zuhair
Regarding ease-of-use. the best software is always the one where everything is visual, point-n-click and, therefore, intuitive. One should never have to write a single line of code or textual commands for anything. Period.
Note that the gold standard for ease-of-use in a software is how quickly and effortlessly one can find out how to do what one wants without prior instruction, consultation of manuals or third-party help.
The best statistical package I have ever seen, especially regarding ease-of-use, is TIBCO's Statistica (formerly Statsoft and then Dell). There is very little to know about the software itself - one mainly needs to know Statistics. Besides, it has gorgeous graphics that can be fully customized on a point--click WYSIWYG basis. The outputs (charts and tables) are easy to cut-n-paste into MS Word, Excel and PowerPoint flawlessly.
Compared to SPSS, Statistica wins on practically everything. Any analysis done in SPSS can be done in Statistica with far fewer clicks and more customizable outcomes. In Statistica, every menu uses very clear, logical, and self-evident categorizations and hierarchy of procedures, which is far more than one can say of SPSS. Indeed, SPSS has a lot of issues that are the result of its "dinosaur tail" legacy from its old days as server-side software, whereas Statistica was born as a GUI PC-oriented application.
Personally, I have been worried about how much I am reliant on Statistica and have been searching for alternatives everywhere, including SPSS, SAS, STATA, Systat, MiniTab, and more. So, far, none come even close.
it is up to the researcher to choose SAS or SPSS. but SPSS is very easy for everybody than SAS. when you want for survey research analysis specially for social science profession it is very good if they use SPSS.
IBM SPSS it's very simple to use. Does not require programming knowledge.
SPSS and SAS is hard to get and we need to pay money for that, I think you can try those free statistical software for example : R studio or use SAS university version
I would recommend DataMelt (http://jwork.org/dmelt), It's free, open-source, used in natural sciences, multi-platform and is very well documented.
R (RStudio) is a very unfriendly but very powerful tool for any data analysis. The learning curve is exponential. There are a lot of literature and tutorials.
1. https://cran.r-project.org/
2. https://www.rstudio.com/products/rstudio/download/
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