Source windows in RStudio

Link: Using Source Windows (@ RStudio Support)

A good feature! Some users like one single window with panes. Some users like multiple windows. Some users like being able to choose.

I like the interface of GIMP, in which you can switch between single and multiple window modes. I also like the interface of Blender, in which you can work in one window with panes, as in RStudio, or you can work in multiple windows, which can also have mroe than one pane each, just by creating new windows.

I hope RStudio can be more flexible. I don't like the the single window mode when working on a small screen notebook.

"Replication in Psychological Science": An editorial at Psychological Science

Lindsay, D. S. (2015). Replication in psychological science. Psychological Science. doi:10.1177/0956797615616374

A good move. We need to pay attention to power, p-hacking, effect size, confidence interval, distribution (mean and SD are not enough), scatter plot (correlation is not enough), and replication. For many of the issues, we have recommended to pay attention to them for a long time. But we still have a long way to go to have a culture in which these are common sense and common practices in psychology.

One thing I don't agree. I do think it is appropriate and even necessary to have exploratory studies. What we need is an appropriate way to do them.

Hedges and Olkin (2015) Overlap Between Treatment and Control Distributions as an Effect Size Measure in Experiments

Hedges, L. V., & Olkin, I. (2015) Overlap Between Treatment and Control Distributions as an Effect Size Measure in Experiments. Psychological Methods. http://dx.doi.org/10.1037/met0000042

Feel excited reading this article by Hedges and Olkin, published online last week. It has been 30 years since they published one of the most important books on meta-analysis, Statistical Methods for Meta-Analysis, which I bought when I was a graduate student, and I am still using it.

Actually, I work on standardized mean difference only recently, and this article is timely, addresses some issues related to one of my student's work. Happy to spend some time studying this paper.

Meta-analyses: Are they immune to conflict of interests?

Article: Many Antidepressant Studies Found Tainted by Pharma Company Influence (Roni Jacobson, Scientific American, October 21, 2015)

Due to conflict of interests, primary studies may be biased. So we have meta-analyses. And then, also due to conflict of interests, meta-analyses may also be biased. Solution? Maybe transparency and reproducibility.