3/22/2023 0 Comments Awstats first run taking long timeSee the GNU General Public License for more details. # This program is distributed in the hope that it will be useful, # but without warranty Even without implied warranty of # merchantability or fitness for a particular purpose. # Part of the R Package, # Copyright (C) 1995-2014 R Core Team # This program is free software You may redistribute and/or modify it under the terms of the GNU General Public License, published by the Free Software Foundation Either version 2 of the license, or # (at your option) any later version. As you can see the “Get the Gist” tip has excellent potential to save a lot of waiting time. While some functions are written so efficiently that you will find little value in simply taking out the workhorse, with most functions written for the general public you will certainly be able to squeeze out some time-gain. When you mix with the internals you run the risk of making a mistake, missing an important line or causing unintended consequences and messing up the original behavior. Is this a free lunch? Not at allĮfficient programming takes a long time to master, and the tasks you find in the public domain are probably well researched – before and after they’re there. We can do more, dive further and improve the sort function that uses our lean_quantile, but you get the idea. Also, we didn’t have to work too hard for it. Library(microbenchmark) # citation(“microbenchmark”) bench Execution time is reduced by more than 60%. Tmpp Now we can compare execution times (more on timing and profiling code): The search giant constantly evolves its algorithms and offerings, from secret search functions to in-house SEO guides. Then we make sure that our lean_quantile does what it’s supposed to do, and compare the execution times. Do you consider yourself a Google expert Think you know all the ins and outs of the search behemoth If you answered yes to either of those questions, you might be in for a surprise. Now, let’s write our own version of the quantile function Call it lean_quantile. While the code for the quantile function is about 90 lines (given below), the actual labor is mostly done by lines 49 to 58 – the main workhorse (type=7 for the default). Given that R is an open-source language, you can easily find the code for any function, then you can just “fish out” the lines you really need. The function has a default argument type = 7 which indicates the particular way we want to estimate our quantities. There are many ways to calculate the estimate of a quantile, and all those different methods are coded into a quantile function. Below is a running example of what I mean. You can save serious wall-clock time by just using laborious code lines. To speed up your code execution I suggest separating the run-of-the-mill tasks from their bare bones. Functions written for general public use have a lot of control-flow checks that aren’t necessary if you’re confident enough with your code. Speed is important in scientific programming. , (You can report a problem about the content of this page here) Want to share your content on R-Blogger? Click here if you have a blog, or click here if you don’t. R Tips & Tricks – Get the Gist | r-bloggers
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