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I would like to generate random tone sequences in R (likewise https://en.wikipedia.org/wiki/Twelve-tone_technique) for creating rule-based items. I'm interested, if someone could suggest R packages, which could sonify data for making melodies based on number sequences (for pitch and duration of a tone).
Here is a package to analyze music, that might help.
Here is an example you can try out.
Replicating something similar like the answer to this questions is maybe rather what you want. There the OP requests code to play the happy-birthday song in R. They code in the answer has, notes, pitch and duration, that you can easily define by yourself and sample randomly from to generate a song.
I think that it might be simpler to do most of these things in python.
Hope this helps!
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I need a big set of time series (multiple time series) which is collected with some external features. How to know where I can find a good data set with these features? Thanks.
Your question is not clear. But if you need just random time.series to do some testing, you can try using BETS r addin. it links you to download many Brazilian data ts from different servers
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right now I have a big project with legacy C/C++ source codes. There are many global variables spread in different functions. In order to analyze the code, I need a tool which can take a look into these functions, check what local/global variables are used and modified in this function, and then better show theses interfaces graphically.
Does anyone have experience with this kind of analysis and know accordingly the tool names? I've tried Understand from SciTools, but it cannot deliver this kind of report.
Thanks!
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Is there a collections library in R that has the rough equivalent of what is in Java's is in java.util.Collections:
Various Distionaries
Various Trees
Various Bags
etc.
As far as I know, there is no such package that implements all the features of collections. Dataframes are the easiest and fun way to manipulate data. However, we can use lists for most of the functionality of linked-lists, stack and queues. This is how it is done.
Edit: For optimal results, implementation of linkedlists using lists is not recommended because of the way in which R allocates memory.
Hope it helped!
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I am building a path for beginners (like me) to guide them through the learning of data analysis in R (Only in R please).
Would you suggest me any new sections and/or new courses that i should add?
Heres is what i have been adding till now: http://studiy.co/path/data-analysis/
Thanks for the help!
well you need to distinguish... If you want just to learn R programming you may check Coursera course on R
https://www.coursera.org/learn/r-programming
that would give you some basics. If you need to learn how to analyse data then you may need a bit more. What are your background in mathematics? What kind of statistics know-how do you have? A GREAT resource in my opinion is the book
An Introduction to Statistical Learning with applications in R
That you can even find for free in pdf (http://www-bcf.usc.edu/~gareth/ISL/). Beware that you may need some mathematics background to be able to understand it fully. In case you have a more profound background in science I may have other suggestions. Could you tell us at what level are you?
Hope that helps.
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I have a series of cities that I need to programmaticly draw arcs between on a global map. The arcs also have to be labeled with a series of values. Output needs to be png or something similar (i.e. I am not looking for a javascript solution.)
Any suggestions on ways of doing this? I can choose language or tool (so long as it is free).
From your description, any language would do. Java, Python, C# etc. They each have graphics libraries that make it easy to draw lines and text and output images.
Ah, found one that will work perfectly myself.
http://scipy.org/Cookbook/Matplotlib/Maps
Processing might fit your bill
http://processing.org/exhibition/