twang | Library for pure Rust advanced audio synthesis | Audio Utils library

by AldaronLau Rust Version: v0.9.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | twang Summary

twang is a Rust library typically used in Audio, Audio Utils applications. twang has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Library for pure Rust advanced audio synthesis.

Support

Quality

Security

License

Reuse

Support

twang has a low active ecosystem.

It has 95 star(s) with 6 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 8 have been closed. On average issues are closed in 142 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of twang is v0.9.0

Quality

twang has 0 bugs and 0 code smells.

Security

twang has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

twang code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

twang is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

twang releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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twang Key Features

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twang Examples and Code Snippets

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Community Discussions

Trending Discussions on twang

weighting not works in 'aov' function of R

mnps function of R twang package shows warning errors for Absolute Standardized Difference plot

QUESTION

weighting not works in 'aov' function of R

Asked 2021-May-01 at 15:36

I have got in trouble with implementing weighted dataset by aov function in R.
For example my dataset "data_file" has target var "Y", and four independent var named (treat, V1 ,V2, V3).
Assuming:
V1(2 groups) & treat(3 groups) --> categorical,
V2 and v3 --> continuous.

I want to check baseline comparisons of independent variables among treat groups.
I ran aov test for this purpose,example:

...

ANSWER

Answered 2021-May-01 at 15:36

It seems you should use:
weight = your weighting variable in the aov arguments.
I replicate something like your dataset, and after using above code the results of the comparisons between groups were different which showed that weighting method had worked.

Source https://stackoverflow.com/questions/66180293

QUESTION

mnps function of R twang package shows warning errors for Absolute Standardized Difference plot

Asked 2021-Apr-23 at 04:33

I have a dataset with 3465 observation and 5 variables as follows (named: dataset)

Variables

$ Treat --> factor(3 level: "1", "2", "3")
$ Age --> integer(eg. 24,54,etc.)
$ Mortality --> integer(0=no,1= yes)
$ LDL --> integer(eg. 200,120,143, etc.)
$ Smoking --> integer(0=no, 1= yes)

I used mnps function in twang package to weight my observations according to treat

mnps code ...

ANSWER

Answered 2021-Feb-05 at 01:27

This is a bug in twang (I was able to replicate it on my own dataset). There isn't anything you can do about it.

You can instead use the cobalt package, which facilitates balance checking and is compatible with objects from twang. A plot that conveys the same information as the type 3 plot is a Love plot, which can be called using love.plot() in cobalt.

If you run love.plot(mnps.dataset, which.treat = .all) you can see standardized mean differences for all pairwise comparisons. See the section in the cobalt vignette on multi-category treatments for more information on how to use it.

Source https://stackoverflow.com/questions/66050267

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install twang

Examples can be found in the Documentation and the examples folder.

Support

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions. Anyone is more than welcome to contribute! Don't be shy about getting involved, whether with a question, idea, bug report, bug fix, feature request, feature implementation, or other enhancement. Other projects have strict contributing guidelines, but this project accepts any and all formats for pull requests and issues. For ongoing code contributions, if you wish to ensure your code is used, open a draft PR so that I know not to write the same code. If a feature needs to be bumped in importance, I may merge an unfinished draft PR into it's own branch and finish it (after a week's deadline for the person who openned it). Contributors will always be notified in this situation, and given a choice to merge early. All pull request contributors will have their username added in the contributors section of the release notes of the next version after the merge, with a message thanking them. I always make time to fix bugs, so usually a patched version of the library will be out a few days after a report. Features requests will not complete as fast. If you have any questions, design critques, or want me to find you something to work on based on your skill level, you can email me at jeronlau@plopgrizzly.com. Otherwise, here's a link to the issues on GitHub, and, as always, make sure to read and follow the Code of Conduct.

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