R Commander

John Fox and Milan Bouchet-Valat Please Read the Rcmdr Installation Notes (click on the image for a larger view) For more details, see my paper on the R Commander in the Journal of Statistical Software (which is somewhat out of date) and the introductory manual distributed with the package (accessible via the Help -> Introduction to the R Commander menu). The R-Commander GUI consists of a window containing several menus, buttons, and information fields. The menus lead to simple dialog boxes, the general contents of which are more or less obvious from the names of the menu items. By default, commands generated via the dialogs are posted to the output window, along with printed output, and to the script window. Commands access a current or active data set (data frame). In addition to standard packages, the R Commander uses functions in a number of other packages. My original object in designing and implementing this GUI was to cover the content of a basic-statistics course.

Databionic ESOM Tools - Databionic ESOM Tools Big Data, How to Detect Relationships Between Categorical Variables The goal of the techniques described in this topic is to detect relationships or associations between specific values of categorical variables in large data sets. This is a common task in many data mining projects as well as in the data mining subcategory text mining. These powerful exploratory techniques have a wide range of applications in many areas of business practice and also research - from the analysis of consumer preferences or human resource management, to the history of language. These techniques enable analysts and researchers to uncover hidden patterns in large data sets, such as "customers who order product A often also order product B or C" or "employees who said positive things about initiative X also frequently complain about issue Y but are happy with issue Z." How association rules work. Sequence Analysis. Link Analysis. Unique data analysis requirements. Computational Procedures and Terminology Categorical or class variables. Multiple response variables.

Alchemy - Open Source AI dimple