I try my best to help everyone out, but sometimes I don't have time to fit everyone's questions in (there never seem to be quite enough hours in the day!). I can guarantee 9 times out of 10, one of my strategies will get you the answer(s) you are needing faster than it will take me to get back to you with a possible solution. set. First, we set the seed, generate a sequence of normal random numbers greater than zero and apply rle() to it. I highly recommend that you check this guide out before asking me or anyone else in the comments section to solve your specific problem. For example, the first run is the number 2 repeated 5 times, and the second run is the number 5 repeated once. That's why I want to share with you: My Guide to Getting the Solution to your Problems FAST! In this article, I explain the best strategies I have come up with over the years to getting quick answers to complex problems in Excel, PowerPoint, VBA, you name it! We all have different situations and it's impossible to account for every particular need one might have. How Do I Modify This To Fit My Specific Needs?Ĭhances are this post did not give you the exact answer you were looking for.
Count run time r code#
To learn more about this function, you can view the code here. It seems like the separate columns t.1m and t.If you need a very specific timing mechanism to determine bottlenecks in your code, there is a VBA function that was written by Charles Williams called the MicroTimer. Here's a very straightforward solution that isn't pretty but does the job.įirst, just a change to your data to make comparisons easier: mtable mtable Id like to focus on using a timer to measure time between events (i.e. plyr or dplyr is okay, of course.įor reference, here is my data for you to copy/paste into your R.
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I know 'PlayerRatings' exists, I feel that for my R education I should be able do this in the R suite without that package.
Count run time r how to#
"DC" has played 576 games across my dataset), but for some reason (probably that I'm new, impatient, rattled by trial and error) I'm just lost on how to make a running count on observation data, and especially how to make that running count into a variable, which is vital for any game rating index.
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Where E4 is t.1m for obs # 4, A:A is Date, B:B is t.1, C:C is t.2, etc.īut in R, I can get total sumproduct printed for me (i.e. In Excel, this is a (relatively) simple =SUMPRODUCT equation, e.g: E4=SUMPRODUCT((A:A<=A4)*(B:B=B4))+SUMPRODUCT((A:A<=A4)*(C:C=B4)) I want to be able to create a new variable that will be a running count of t.1 and t.2's total matches played (i.e., the instances up to the date in question that "DC" occurs in columns t.1 or t.2): date t.1 t.2 m.result #t.1m #t.2m For instance, the first 15 of 4270 observations with the necessary variables: date t.1 t.2 m.result
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I am running into trouble with things that seem to be simple in Excel aren't exactly intuitive in R.
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Whenever there is power failure on the PLC the time value will be saved automatically in the PLC retentive memory. But in my own case in make use of FC 80 Timer-on Retentive Delay. I have a dataset of soccer match results, and I am hoping to learn R by creating a running set of ratings similar to the World Football Elo formula. Hello, I have designed a run hour for a similar application like this.