I was trying to run a code completely in R studio, and it was taking time. After 10 hours I interrupted and it is showing Timing stopped at: 1.43 0.69 1.644e+04 ,
What is the meaning of this line? how I can understand how much the task completed before interruption ?
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I am running some JAGS code in R Studio. I started it before I went to bed knowing it would take a few hours to finish. I forgot to turn off the sleep mode, and the computer (Windows 10) went to sleep after 2 hours. I woke up this morning and saw that only 60% of the model had run with 40% left to go. A few minutes later after I had made coffee, I noticed that the model had resumed and was now at 63% done.
Will my results be OK or should I discard them and start new? I am not sure how R and R Studio react when a computer goes to sleep.
Thanks!
I need to know what will happen if I am running an R script which takes typically say 30 to 45 minutes to execute and during that time my windows 7 system gets locked. Will it effect the R script execution in any way? or will I have the complete and accurate R script execution if I unlock my system after say 2 or 3 hours or just after the R script execution time.
Is there a another way to get RStudio running at normal speed once it starts lagging other than having to restart?
I am working with large datasets and understand that is expected. However a simple command like 2000 + 2000 starts running with a lag, and once I restart RStudio the speed goes back to normal. I think that RStudio starts running with a lag once if I run a command that asks R to display 1000's of entries. It is annoying as heck and would appreciate some feedback and comments, Thanks.
I am writing an R package in Rstudio on Windows 10. Every time I reload the package, a note comes up: "Backing up R session" and then "Resuming R session". This takes a bit of time (about 8 or 9 seconds out of a total package build time of 14 seconds), and it would be nice if it could go a bit faster. When I reload the package, I am most of the time fine with not backing up the R session and just starting with a clean session.
Is there any way I can stop R from backing up the session or resuming the old session? It still seems to take some time to complete the process even if I run rm(list=ls()) before clicking "Build & Reload".
FWIW, that's not a good solution for me. My problem is that if I forget to erase a large object in memory (an output of my code) before rebuilding the package, that object is backed up, taking several minutes, before my R session finally comes back to life.
https://github.com/rstudio/rstudio/issues/7287
I selected the first 50,000 rows of the Homesite dataset - a current Kaggle competition. (30MB out of the full 200MB in the dataset.) I imported the .csv file and connected it to a Random Forest model. I changed one default - the RF will build 50 trees rather than 10.
If I click on any other task icon after I start the process the laptop hangs, requiring a power down - which I've never had to do before. If I don't select any other icon and just stay in RapidMiner, it hangs at 1:15 (the displayed timer).
This was my very first attempt at using RapidMiner Studio 6.5. I have the much older RapidMiner 5, which doesn't hang, but it is painfully slow as compared to r, and it doesn't even have Random Forests or many other models found in 6.5. 6.5 is also supposed to be much faster, and it is supposed to be able to use r scripts.
I performed a complete checkup on my Dell laptop. Everything passes.
I ran a complete scan with MalwareBytes.
I don't have any issues with any other software.
R builds neural networks (etc) at the expected speeds without any problems.
RapidMiner Studio 6.5 (64 Bit; Basic Edition)
Windows 8.0 (64 Bit); Intel Core I3 #2 Ghz; 6 GB Ram.