I can't figure out how to read the blockbreak progress in minecraft forge version 1.16. I know the function DestroyBlockProgress and the variant with hashmaps, but I can't find out how this works. a little tip or an example would help me a lot
Thanks
Related
When I've written stuff in Matlab, I've often greatly appreciated its "Run and Time" functionality: for those who don't know, this runs the file and upon completion outputs not only the run time, but also opens a new window showing the code, and saying how many times each line was run and how long the program spent on each line. For finding bottlenecks in my code, this has been invaluable!
I am not aware of a similar functionality in R -- whether that be an R package, or part of RStudio -- and searching using a well-known search engine has not rectified this.
Is it possible to do a similar thing for R? It would be most appreciated!
It would help you if you knew that the "Run and Time" option in MATLAB is simply a user interface on top of the profile command. In particular, in MATLAB you can do
profile on
% Run some code
profile off; profile viewer % Stops profiling and opens the timing window
I say this is helpful because you can "profile" in a similar way in RStudio, via the "Profile" menu.
Please see this RStudio Support page for in depth details.
To summarise the above RStudio help page, in essence, one wants to write
profvis({
#CODE
})
(Note that the package profvis may need to be installed.) Further details on how to use can be found by typing ?Rprof, and by visiting this related SO question: How to efficiently use Rprof in R?.
Background:
I'm new to Octave, as of today.
I am running GNU Octave, version 4.0.2 on Ubuntu 16.04 LTS
I'm using the command-line interface at the terminal (ie, open the terminal and, type "octave").
I'm aware that there is a GUI, but I want to see if I can get this working in the terminal [such a setup is my preference in most applications]
PROBLEM:
Plots are plotted in text. As in:
How can I get a good-looking plot in a plotting window? I genuinely haven't been able to find this information in 10 minutes of Googling...I think it should be easier than that....maybe someday this post will be the easy solution for others.
Best,
-Ryan
I personally do this a lot; it looks like you have it installed in a *nix environment... Octave can produce nice looking figures through cooperation with a couple graphic toolkits, GNUPlot being the one i'm more familiar with.
Check out the documentation at: https://www.gnu.org/software/octave/doc/v4.0.1/Plotting.html
Without seeing your code we're kind of just guessing. I would try something like
figure();
to see if you get a fresh plot window, or try
available_graphics_toolkits()
to ensure that you actually have something installed to generate separate figures.
I am having trouble getting my graphs to appear in the 'plots' window of R studio - once I run the script they appear in a separate R graphics window, separate to R Studio, with the 'plots' tab blank.
Is there a setting or code I should use to change this?
Thank you in advance,
This has been a consistent problem for many users ever since the last couple updates, myself included. It was apparently fixed with 3.5 version of R, which I haven't updated to, but you didn't mention which version you are running.
Either way, if you're running the most updated version or not, try getOption("device") and check the output of that. Per an R support community post, if the output does not say RStudioGD, you can use options(device = "RStudioGD").
The NEXT, and more annoying, solution was to uninstall and reinstall RStudio. Many people found that this solved their problem.
If neither of those work work, the only other solution that people were finding is to downgrade your R version to a compatible version unfortunately! It's really annoying, I know!
Hope I could help!
Is there an easy way to have R record all input and output from your R session to disk while you are working with R interactively?
In R.app on Mac OS X I can do a File->Save..., but it isn't much help in recovering the commands I had entered when R crashes.
I have tried using sink(...,split=T), but it doesn't seem to do exactly what I am looking for.
Many of us use ESS / Emacs for this very reason. Saving old sessions with extension '.Rt' even gives you mode-specific commands for re-running parts of your session.
Greg Snow wrote recently on the R-help list (a very valuable resource, SO R people!):
"You may also want to look at ?TeachingDemos::txtStart as an alternative to sink, one advantage is that the commands as well as the output can be included. With a little more work you can also include graphical output into a transcript file."
r-help
Check out the savehistory() command
I'm not sure yet how to answer an answer, but there is an updated version of Ranke's vim r-plugin called r-plugin2 available here. It seems more user-friendly and robust than the original.
Emacs is good, but for those of us with a vi preference there's the vim-r plugin at:
http://www.uft.uni-bremen.de/chemie/ranke/index.php?page=vim_R_linux
It works brilliantly and has a tiny memory footprint.
Is there an easy way to have R record all input and output from your R session to disk while you are working with R interactively?
In R.app on Mac OS X I can do a File->Save..., but it isn't much help in recovering the commands I had entered when R crashes.
I have tried using sink(...,split=T), but it doesn't seem to do exactly what I am looking for.
Many of us use ESS / Emacs for this very reason. Saving old sessions with extension '.Rt' even gives you mode-specific commands for re-running parts of your session.
Greg Snow wrote recently on the R-help list (a very valuable resource, SO R people!):
"You may also want to look at ?TeachingDemos::txtStart as an alternative to sink, one advantage is that the commands as well as the output can be included. With a little more work you can also include graphical output into a transcript file."
r-help
Check out the savehistory() command
I'm not sure yet how to answer an answer, but there is an updated version of Ranke's vim r-plugin called r-plugin2 available here. It seems more user-friendly and robust than the original.
Emacs is good, but for those of us with a vi preference there's the vim-r plugin at:
http://www.uft.uni-bremen.de/chemie/ranke/index.php?page=vim_R_linux
It works brilliantly and has a tiny memory footprint.