STATISTICA Blogs

A random factor is a variable of interest for which we selected only a subset of the population levels to test, but which we still want our results to be applicable to all levels possible. For example, suppose that in a factory we sample products from 5 workers, even though we have 100 workers total. Since we want our results to be generalizable to all workers in the factory, not just the 5 we selected, we would treat this variable as a random factor. When a process involves random factors, a common analysis is to calculate the variability in the overall process that is due to these random factors. To quantify this number, we will compute Components of Variance.

Following is a guide on how to compute the Components of Variance in STATISTICA:

STATISTICA projects provide the means to save your work and return to it later. A project is a "snapshot" of STATISTICA at the time it was saved, i.e., the tool saves your input data, results (graphs, spreadsheets, etc.), analyses, and/or Data Miner workspaces that are currently open into a single project. Upon opening the project, all of these items will be restored exactly as they were when the project was saved. This tool is a time saver, as it allows you to continue the analysis instead of starting it over again.
 

If there are certain menu commands that you use often, you may want to assign a keyboard shortcut key combination to the command in order to access the command faster and easier.

Located at the top of many results dialogs is a Summary Box, and sometimes it may be useful to print this summary.

Don't be intimidated by Visual Basic. Follow this short example to create a fun program that you can run in STATISTICA.

We recently were contacted by a few people who were confused. They were surprised to see that data miner functionality is not included in our free STATISTICA trial. 

Trying to evaluate different predictive analytic solutions can be complex. We want to minimize your frustrating in understanding the options.  We want to help with the evaluation process. Please contact us. 

What problems are you looking to solve? 

With STATISTICA, you can use many spreadsheets at the same time, allowing you to work with several different data files simultaneously.

STATISTICA is a powerful tool that provides a comprehensive array of data analysis, data management, data visualization, and data mining procedures. And if you get overwhelmed, help is just a click away.

Comparing information across multiple plots is a common task. One thing that makes these comparisons easier is common axis scaling. Some three-dimensional plots, such as surface and contour plots, use colors to distinguish levels of the Z axis. This article demonstrates how to achieve a common color coding system for multiple three-dimensional plots.

Of course, categorized graphs in STATISTICA will automatically produce multiple plots, all utilizing the same scale. But, the data may not be structured such that a categorized graph is applicable, or for other reasons it may be more desirable or practical to create individual graphs, while maintaining the same scale across...

Numerical values in STATISTICA dialogs can be changed by using the microscroll controls:

But there is more functionality here than meets the eye.