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...isions. I'd be happy to find collaborators who can e.g. fill in my knowledge gaps on metadata and ontologies. https://github.com/rubenarslan/codebook/issues Best, Ruben -- Ruben C. Arslan Center for Adaptive Rationality Max Planck Institute for Human Development Berlin, Germany https://www.mpib-berlin.mpg.de/en/staff/ruben-arslan https://formr.org http://www.the100.ci [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages

...isions. I'd be happy to find collaborators who can e.g. fill in my knowledge gaps on metadata and ontologies. https://github.com/rubenarslan/codebook/issues Best, Ruben -- Ruben C. Arslan Center for Adaptive Rationality Max Planck Institute for Human Development Berlin, Germany https://www.mpib-berlin.mpg.de/en/staff/ruben-arslan https://formr.org http://www.the100.ci [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages

Hello, I am trying to profile a function of OpenMx (http://openmx.psyc.virginia.edu) for CPU time. My operating system is OS X 10.10. OpenMx contains C++ and Fortran code. I have read the section regarding profiling compiled code in the manual (https://cran.r-project.org/doc/manuals/r-release/R-exts.html#Profiling-compiled-code). This section and this post (http://blog.fellstat.com/?p=337)

Is there a standardized way in R to perform post-hoc comparisons for main adn interaction effects of between- and within-subject factors? For instance, I have a data set of performance of adults of different age groups (20-30, 60-70,70-80) performing a WM task (n-back, with n=1,2,3,4) in two different conditions (while sitting or walking). The corresponding ANOVA produces the following output