STATISTICA Blogs

A recent thread in the StatSoft User Forum discussed different options for copying STATISTICA graphs into a PowerPoint Presentation.

STATISTICA is integrated with Microsoft Office. This means you can open Word, Excel and PowerPoint presentations within STATISTICA. Then you can drag-n-drop graphs from STATISTICA into PowerPoint.

But there is another option.

High-quality graphs are often needed for publication in scientific journals or for use in presentations. STATISTICA offers tools for producing such graphs, and they can either be copied and pasted or saved as an image. This article will discuss some best practices for obtaining optimal quality from STATISTICA graphs...

Your data has a known pattern. It may have groups or categories of data. But this pattern is inside of your head rather than a variable. You need to create a new variable to express this pattern for your analysis project.

Maybe you have five different DNA groups. Or you need to label your training data for a credit scoring project.

You can autofill (auto calculate) values by dragging your mouse pointer across the data. But does anyone really want to drag through 1,000 or 100,000 rows of data?

Sometimes your data has a pattern, but this pattern isn't expressed within a variable.

Maybe every other row is an "away" game for your baseball data set. Or maybe you have genetic data broken into 5 segments.

Regardless, you have some type of data grouping that is known but not recorded.

So, typically you start by adding a new variable to your data set. Then you add data to this variable by using autofill.

STATISTICA Enterprise provides tools that allow you to easily query from a database, and then analyze that data via the standard quality control charts. But suppose you are currently interested in only a portion of the data? In that case, STATISTICA Enterprise allows the user to interactively filter out the unwanted data at run-time.

STATISTICA offers several nonparametric hypothesis tests that are very useful when assumptions of traditional statistical tests (such as t-tests and ANOVA) fail. These nonparametric tests do not make distributional assumptions such as normality of the data that other tests make.

The one sample t-test from the Basic Statistics module tests the population mean against a hypothesized value. This test assumes a normal distribution of the data. If this assumption is not met, a nonparametric test can be used. The Nonparametric module does not offer a specific one-sample test. This example illustrates how the one-sample nonparametric test...

This example uses the example data set Aircraft.sta, which is distributed with STATISTICA. From the File menu, select Open Examples. Double-click the Datasets folder, and locate and open Aircraft.sta.

The goal of this example is to perform a Box-Cox transformation of one dependent variable, VISC, and save the transformed values back to the original data set.

In STATISTICA, date values of variables are stored internally as a single integer value that represents the number of days that have passed since January 1, 1900. The specific conversion of integer values to dates and vice versa is also affected by...

Bundles can be used to organize large sets of variables and to facilitate the repeated selection of the same set of variables. By creating bundles, it’s possible to quickly and easily locate a subset of data in a large data file (e.g., if the same set of target variables are repeatedly used, you could create a bundle called Targets). When you are ready to perform an analysis using this data set, you can simply select the Targets bundle to include the entire set of target variables. Because bundles can include continuous and non-continuous selections (e.g., you can include variables 4, 9, and 32-35, and 119), you will save considerable time by selecting a bundle rather than looking for the correct variables to choose in a large data set.

STATISTICA provides many options to edit the appearance of your graphs. This example explains how to modify your point markers.