The first is working on a heavy-weight function that results in some output every hour or so and runs 96 times. In the image below you see two instances of R-Project running. Select ‘duplicate’, and there you are: an app named R copy emerges. Then go to your applications folder and secondary-click on the R-Project app. Dual laptop-laptops basically.īack to running R-Project twice. For that to change, we would need dual-hard disk laptops, and dual-RAM laptops and the such. Mind though that, obviously, it drains your computers’ resources heavily, so performance of each instance of R-Project decreases slightly at least. The procedure is very easy, and it works like a charm. With Apple’s Mac OS X you now can run R-Project twice, making the most of your dual core processor. Your statistical software is locked up while crunching those numbers, while you’d actually prefer to run some minor procedures, such as post-estimations, testing some loops, or simply displaying the output of a previously estimated model. As anyone working with relatively advanced models and large amounts of data knows, especially the waiting can be excruciating. Working with statistics can be quite time consuming.
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