The connection between a data mining tool and a spreadsheet application such as Excel is a really valuable feature. We benefit from the powerful of the first one, and the popularity and the easy to use of the second one. Many people use a spreadsheet in their data preparation phase. Recently, I have presented an add-in for the connection between R and Excel. In this document, I describe a similar tool for the SAS software.
SAS is a popular tool, well-known of the statisticians. But the use of SAS is not really simple for the non-specialist people. We must know the syntax of the commands before to perform a statistical analysis. With the SAS add-in for Excel, some of the SAS drawbacks are alleviated: we do not need to load and organize the dataset into a bank; we do not need to know the command syntax to perform an analysis and set the associated parameters (we use a menu and dialog boxes instead); the results are automatically incorporated in a new sheet of an Excel workbook (the post processing of the results becomes easy).
In this tutorial, I describe the behavior of the add-in for various kinds of analyses (nonparametric statistic, logistic regression). We compare the results with those of Tanagra.
Keywords: excel, sas, add-on, add-in, logistic regression, nonparametric test
Components : MANN-WHITNEY COMPARISON, KRUSKAL-WALLIS 1-WAY ANOVA, MEDIAN TEST, VAN DER WAERDEN 1-WAY ANOVA, ANSARI-BRADLEY SCALE TEST, KLOTZ SCALE TEST, MOOD SCALE TEST
Tutorial: en_Tanagra_SAS_AddIn_4_3_for_Excel.pdf
Dataset: scoring_dataset.xls
References :
SAS - http://www.sas.com/
SAS - "SAS Add-in for Microsoft Office"
Tanagra Tutorial - "Tanagra Add-In for Office 2007 and Office 2010"
