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R through Excel a spreadsheet interface for statistics, data analysis, and graphics Heiberger R.M., Neuwirth E.
Publisher: Springer

Making advanced UI in matlab, not easy either. R Commander (a graphical user interface to R) will be used to provide menu access to R, supplemented with commands when necessary. My impression is they get used by people who want the easiest way possible to do the sort of standard statistical analyses that are very orthodox in many academic disciplines. The models are created using R, a rich statistical analysis environment which also provides a framework for creating space state models as well as allowing the user to create custom algorithms. We focus on data analysis for low-level decision-making about library products and services; we do not address collecting data for ARL statistics, Total Quality Management analysis, LibQUAL+®, using data to determine the value of libraries, or for high level . It runs under most time to my knowledge. I don't do much graphics, but perhaps check out “R Graphics” by Murrell or Deepayan Sarkar's book on Lattice Graphics. Watch for the forthcoming book ,” R Through Excel: A Spreadsheet Interface for Statistics , Data Analysis, and Graphics ” by Heiberger . It's a spreadsheet like Excel, but has built-in Python support, and allows cells in the grid to hold objects. €� R can easily import and export data to and from Microsoft Access and Excel as well as text files. R (the open-source/free version of S) provides a comprehensive environment for statistical analysis and graphics and is unrivaled in the availability of new, cutting-edge applications. Most of the data related to reference transactions is gathered manually and stored in Microsoft Excel spreadsheets, so we decided to create graphs and conduct most data analysis in Microsoft Excel as well.