microm | Beautiful library to convert browser microphone | Audio Utils library

by zzarcon JavaScript Version: 0.2.4 License: MIT

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kandi X-RAY | microm Summary

microm is a JavaScript library typically used in Audio, Audio Utils applications. microm has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can install using 'npm i microm' or download it from GitHub, npm.

Beautiful library to convert browser microphone to mp3 in Javascript. Microm it's just a wrapper of few audio converting libraries which exposes a fully Promise and Event oriented api. Microm goal it's to make trivial to play and convert audio in the browser.

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Support

microm has a medium active ecosystem.

It has 879 star(s) with 55 fork(s). There are 29 watchers for this library.

It had no major release in the last 12 months.

There are 12 open issues and 12 have been closed. On average issues are closed in 75 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of microm is 0.2.4

Quality

microm has 0 bugs and 0 code smells.

Security

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

microm code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

microm is licensed under the MIT License. This license is Permissive.

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

Reuse

microm releases are available to install and integrate.

Deployable package is available in npm.

Installation instructions, examples and code snippets are available.

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microm Key Features

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microm Examples and Code Snippets

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Community Discussions

Trending Discussions on microm

How to perform pslda in R showing error rate for several elements of a list?

QUESTION

How to perform pslda in R showing error rate for several elements of a list?

Asked 2020-Aug-07 at 16:49

I am performing a splsda-model in R on 10 dataframes (data of 10 study areas), stored as a list (datalist). All these dataframes are similar, with the same variables, but just different values. I use the micromics library to do this.

This is the head of the first study area. It compares the absence or presence of wetlands (factor variable - wetl or no wetl) depending on its value of TPI of different ranges.

...

ANSWER

Answered 2020-Aug-07 at 16:49

Based on your outputs, you will have to create a new list and save the results on it. Using just myperf_plsda could be overwriting each step in the loop. Also most of the measures you want are lists, so I added some processing functions to reach dataframes. I used next dummy data:

Source https://stackoverflow.com/questions/63301590

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