get titles in a multi scatter plot to change

A coordinate index pulldown appears at the top. There are a few things to notice about the result window now. Note: You must be in edit mode to make changes in this dialog. In the dialog, select 'Use Coordinate Index'. Press the at the top-right corner of the result window. In order to use the columns of the data as the coordinates of each data point, we need to tell Analytica that the Dim index is to be interpreted as the Coordinate Index.ġ1. Of course, on a 2-D graph, with just an X and Y axis, we will be viewing two coordinates at a time, but we can interactively pivot between the various combinations. What we desire is to treat each row in the above table as a single data point to be plotted. In the initial plot, Analytica treats the data as four series. For convenience, pivot so that Index Dim forms the columns, Run the rows. Switch to table view to examine the actual data. Create a chance variable node named X and set the definition to:ĩ. Select the Dim and Dim2 indexes and fill in the Edit table with a covariance matrix:Ĩ. Create a variable named covar and set the definition type to Table.

Index Dim := Index Dim2 := CopyIndex(Dim)ħ. In the model's Object window, fill in the title and description.Ĥ.

For this, we'll define a 4-D Gaussian distribution. You will learn how to set up a scatter plot when the coordinates of the data are organized as columns in a single table, and how such plots can be interactively pivoted to view the scatter points from each dimension.įirst, let's create the data to be plotted. In this tutorial example, we'll plot the points from a 4-D Gaussian distribution as a scatter plot.

Get titles in a multi scatter plot to change