R studio webinar4/3/2023 ![]() ![]() He can be reached at BrowningĬurtis is a long-time senior engineer and architect for SPSS Statistics. Before joining SPSS, he taught graduate econometrics and statistics at Yale University. ![]() He worked at SPSS/IBM for 32 years in design, development, and product strategy and designed many SPSS Statistics features, especially in the area of programmability and extensions. Peck is a retired software engineer and statistician and now works as an independent consultant. ![]() Jon Peck will discuss using extensions and illustrate this with a demonstration of the STATS TEXTANALYSIS extension command, which is designed for analysis of open-ended and “other” types of survey questions in combination with standard Statistics procedures.ĭr. He will cover three main integration points: programmability, embedding R or Python code within syntax commands, and how to extend the product via modular program extensions. Curtis will begin the discussion with a description and overview of R and Python in SPSS Statistics. Join this webinar to dive deeper into these benefits with our experts Curtis Browning and Jon Peck. This integration also provides SPSS Statistics users with easy access to a large set of open-source statistical libraries and functions. They also gain the ability to distribute integrated R or Python packages to a wide range of users who may not be as familiar with open-source software tools. Users of these open-source software packages can handle large data sets from within SPSS Statistics and access powerful visualization tools. ![]() In this webinar we will discuss the benefits of integrating popular open-source software tools like Python and R with SPSS Statistics. The slides are available to download below and please share any of your questions here. ![]()
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