Generally the visualization tools of R are better than those of the competition. Some of them are of a quality comparable to SAS and SPSS, some not.
#Sas vs spss install#
It has a lot de add-ons or extra packages available in Internet you can download and install them directly from R. It is better to use the command line interface or to program and run R scripts. Its GUI is less convenient than SPSS’ GUI. In top of that, you should download and install a GUI editor, such as RGui or R Studio. R is a data analysis and data visualization tool it includes only the language (an interpreter). The R statistical programming language is a free open source package. It had a student license renewable each 6 months. It has a Command Line interface and a Graphical user Interface. Stata includes a compact programming language. It has a steeper learning curve tha SPSS, though. It could be considered the most analytically capable of the three commercial packages in this review.
#Sas vs spss software#
The SAS software is the base of a larger suit of products for business intelligence, data management, and predictive analytics. It has a strong position in the analytics business and it releases quality code after intensive testing. The parent company (SAS Institute) has been known as a great place to work, with dedicated employees and a lot of the profits are invested back in R&D. It as associated products: IBM SPSS Modeler for data mining and text mining, IBM SPSS Collaboration and Deployment Services for real-time credit scoring services. It has a nice Graphical User Interface, it is used by non-statisticians and statisticians, and its main domain has been traditionally the social sciences and health sciences. Price is not cheap, but technical support is reliable. SPSS now is owned by IBM, so you get all the advantages and disadvantages of a product of a big name company. So, what software is powerful enough for my research but easy to use and not expensive But in most ocasions, this analysis is just a secondary component of the research, and there is no budget to hire an statician for the job. Statistical analysis is part of many quantitative research projects, in all areas of sciences (natural and social) and engineering.