Difference between revisions of "Data sets"
From Rave Documentation
(Created page with "=Introduction= A data set is best thought of as a table, with rows and columns. The sections below describe how the data is arranged. =Columns and Variables= Each =Rows=...") |
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Some of the most common ways to modify a data set are: | Some of the most common ways to modify a data set are: | ||
− | *Add new columns by loading a [function] | + | *Add new columns by loading a [[function]] |
*Add new rows by appending the results of an optimizer | *Add new rows by appending the results of an optimizer | ||
*Change individual data values by editing the [[main table]] | *Change individual data values by editing the [[main table]] | ||
*Delete rows by right clicking the [[main table]] header | *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 | + | *Add new rows by appending a [[design of experiments]], or replace all rows in the data set |
Revision as of 12:56, 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.
Columns and Variables
Each
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.
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