You can assign data to a structure, then use R commands to work with the resulting structure — to quickly extract basic statistical information, for example, or sort data.

This article presents a technique for clustering mixed categorical and numeric data using standard k-means clustering implemented using the C# language. Briefly, the source mixed data is preprocessed ...

I recommend normalizing independent numeric data by computing the means and standard deviation of the numeric x data, then applying the transform (x - mean) / stddev. For example, in the demo program, ...

Example 4: Converting Raw Character Data to Numeric Values. Procedure feature: INVALUE statement: This example uses an INVALUE statement to create a numeric informat that converts numeric and ...

Goal programming Numerical example. In order to reveal the ‘mechanics’ of achievement functions, we use a simplified diet model with two foods: (1) bread and (2) meat, with associated decision ...