Monthly Archives: October 2016

Text Analysis with R

Posted on 2016-10-27 by Paul Johnson

We are having a little practice session. Quick notes about working through the examples in Matthew L. Jockers fine book, Text Analysis with R for Students of Literature. Browse here: http://www.matthewjockers.net/text-analysis-with-r-for-students-of-literature and download the zip file that it points at … Continue reading →

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Portable Parallel Seeds for R (and other cluster updates)

Posted on 2016-10-26 by Paul Johnson

We've been reworking the high performance computing examples so that they line up with the latest and greatest advice about how to organize submissions on the ACF cluster computing system. Please update your copy of the hpcexample archive (see http://crmda.ku.edu/parallel-programs). … Continue reading →

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Do not let this happen to your survey project

Posted on 2016-10-24 by admin

Bring in your survey, let us take a look! Perhaps one of our GRAs can save you from this ignominious fate. We have open (free) walk-in consulting. Find out more on the Open Consulting Page

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Cluster Computing Updates

Posted on 2016-10-14 by admin

Hot off the press! Advanced Computing Facility Cluster news. In the past 2 months, several of user have noticed that some jobs they submit take a long long time to start. Some have noticed that the same job will fail … Continue reading →

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kutils Package for R: New Updates Available

Posted on 2016-10-13 by admin

The KRAN server, an R repository hosted by the Center for Research Methods and Data analysis at the University of Kansas, offers packages being prepared for researchers that use R. A suite of tools for research project management, dubbed "kutils", … Continue reading →

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Best of Lawrence Chooses CRMDA

Posted on 2016-10-12 by admin

The CRMDA team has been selected for this prestigious honor.

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PSPP, git-lab implemented

Posted on 2016-10-06 by admin

Are we more excited to have PSPP or Git with lfs support? Lets have a show of hands! PSPP is the GNU project's version of a user friendly statistical package for the social sciences. It falls in line with the … Continue reading →

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