Dear All, I have been searching online for help increasing my R code more efficiently for almost a whole day, however, there is no solution to my case. So if anyone could give any clue to solve my problem, I would be very appreciate for you help. Thanks in advance.
Here is my issue: My desktop is with i7-950 Quad-core CPU with 24Gb memory, and a NVIDIA GTX 480 graphic card, and I am using a 64-bit version of R under 64-bit Windows . I am running a "for" loop to generate a 461*5 matrix data, which is coming from the coefficients of 5 models. The loop would produce 5 values one time, and it will run 461 times in total. I have tried to run the code inside the loop just once, it will cost almost 10 seconds, so if we intuitively calculate the time of the whole loop will cost, it would be 4610 seconds, equal to almost one and a half hours, which is exactly the whole loop taking indeed. But I have to run this kinda loop for 30 data-sets! Although I thought I am using a not-bad at all desktop, I checked the usage of CPU and memory during my running R code, and found out the whole code just used 15% of CPU and 10% of memory. Does anyone have the same issue with me? or Does anyone know some methods to shorten the running time and increase the usage of CPU and memory? Many thanks, Xi [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.