226305 | Social Network Analysis | Social Channel Utils library

by hdm-crpr R Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | 226305 Summary

226305 is a R library typically used in Utilities, Social Channel Utils applications. 226305 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Social Network Analysis

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Support

226305 has a low active ecosystem.

It has 15 star(s) with 58 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

226305 has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of 226305 is current.

Quality

226305 has no bugs reported.

Security

226305 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

226305 does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

226305 releases are not available. You will need to build from source code and install.

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226305 Key Features

No Key Features are available at this moment for 226305.

226305 Examples and Code Snippets

No Code Snippets are available at this moment for 226305.

Community Discussions

Trending Discussions on 226305

Manual interaction plot linear regression in R

QUESTION

Manual interaction plot linear regression in R

Asked 2020-Oct-16 at 09:59

I am trying to predict the mean abundance of animals sighted during different moon phases (factor), using log-transformed abundance data (better fit) and some other variables. The best model (lowest AIC) turned out to include the interaction of phase and survey duration and the cloud cover (both continuous):

...

ANSWER

Answered 2020-Oct-14 at 18:48

Use predict to get predicted values. Don't calculate manually.

Use expand.grid() to generate a data frame of all combinations of your dur2 sequence and the other predictors at the value(s) you want plot. Something like this:

Source https://stackoverflow.com/questions/64358946

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

Vulnerabilities

No vulnerabilities reported

Install 226305

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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