Revision as of 12:59, 3 December 2011

Introduction

A data set is best thought of as a table, with rows and columns. The sections below describe how the data is arranged.

Variables

Each column in the data set represents a variable.

Rows

Modifying Data Sets

There are several actions you can take in Rave to modify a data set. It will always be apparent when you are performing such an action. Working with graphs, optimizers, or surrogate models will never alter your data set without asking you first.

When you modify a data set, all graphs that use that data set will be automatically updated to reflect the new data.

Certain modifications will reset row colors, selection state, or visibility state. For example if you replace the entire data set, all rows will reset to their default state (visible, unselected, default color).

Some of the most common ways to modify a data set are:

• Add new columns by loading a function
• Add new rows by appending the results of an optimizer
• Change individual data values by editing the main table
• Delete rows by right clicking the main table header
• Add new rows by appending a design of experiments, or replace all rows in the data set