ResourceSelection | Resource Selection Functions

by psolymos R Version: v0.3-0 License: No License

X-Ray Key Features Code Snippets(2)Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | ResourceSelection Summary

ResourceSelection is a R library. ResourceSelection has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Resource Selection (Probability) Functions for use-availability wildlife data based on weighted distributions as described in Lele and Keim (2006), Lele (2009), and Solymos & Lele (2016).

Support

Quality

Security

License

Reuse

Support

ResourceSelection has a low active ecosystem.

It has 5 star(s) with 5 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 7 open issues and 7 have been closed. On average issues are closed in 97 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ResourceSelection is v0.3-0

Quality

ResourceSelection has 0 bugs and 0 code smells.

Security

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

ResourceSelection code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ResourceSelection 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

ResourceSelection releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ResourceSelection

Get all kandi verified functions for this library.

ResourceSelection Key Features

No Key Features are available at this moment for ResourceSelection.

ResourceSelection Examples and Code Snippets

ResourceSelection: Resource Selection (Probability) Functions for Use-Availability Data,Example

Lines of Code : 82

License : No License

Copy

## Some data processing
goats$exp.HLI <- exp(goats$HLI)
goats$sin.SLOPE <- sin(pi * goats$SLOPE / 180)
goats$ELEVATION <- scale(goats$ELEVATION)
goats$ET <- scale(goats$ET)
goats$TASP <- scale(goats$TASP)

## Fit two RSPF models:
## gl

ResourceSelection: Resource Selection (Probability) Functions for Use-Availability Data,Install

Lines of Code : 2

License : No License

Copy

install.packages("ResourceSelection")

devtools::install_github("psolymos/ResourceSelection")

Community Discussions

Trending Discussions on ResourceSelection

How to extract scaled residuals from glmer summary

Unnest and bind nested tibble list-columns

Fitting models to grouped data with if else conditionals

How to run regression for several random subsets of data

How do I sort the output of SessionInfo() in R?

QUESTION

How to extract scaled residuals from glmer summary

Asked 2019-Sep-18 at 15:48

I am trying to write a .csv file that appends the important information from the summary of a glmer analysis (from the package lme4).

I have been able to isolate the coefficients, AIC, and random effects , but I have not been able to isolate the scaled residuals (Min, 1Q, Median, 3Q, Max).

I have tried using $residuals, but I get a very long output, not the information shown in the summary.

...

ANSWER

Answered 2019-Sep-18 at 09:42

I haven't got your data, so we'll use example data from the lme4 vignette.

Source https://stackoverflow.com/questions/57981995

QUESTION

Unnest and bind nested tibble list-columns

Asked 2019-Mar-16 at 14:15

To ease reproducibility, I am using the goats data set from the ResourceSelection package which has spatial data for used (STATUS == 1) and 'available' (STATUS == 0) GPS locations of mountain goats. ID is for individual (n = 10) and ELEVATION, ... , TASP are attributes of the points.

...

ANSWER

Answered 2019-Mar-16 at 14:15

You can use gather to convert your wide dataframe to a long format:

Source https://stackoverflow.com/questions/55197308

QUESTION

Fitting models to grouped data with if else conditionals

Asked 2019-Mar-13 at 22:11

To ease reproducibility, I am using the goats data set from the ResourceSelection package which has spatial data for used (STATUS == 1) and 'available' (STATUS == 0) GPS locations of mountain goats. ID is for individual (n = 10) and ELEVATION, ... , TASP are attributes of the points.

...

ANSWER

Answered 2019-Mar-13 at 22:11

After I'd suggested using modelr, I went ahead without it. Like I said above, your function SeasonalMods doesn't know that Season is a column in the data frame that it takes as an argument, so you'll get errors that it's undefined. One way to do this instead is to add a second argument to the function to take the season. Since you're nesting your data, it's easy now to pass the data and season to your modeling function. I'm using map2 because the columns data and Season are the same length.

Source https://stackoverflow.com/questions/55151566

QUESTION

How to run regression for several random subsets of data

Asked 2019-Mar-02 at 21:42

I have a big data set and I want to choose randomly subsets (randomly_live) from it and then run a model (logistic regression) in R. So I want to run 100 logistic regressions to count how many times coefficients were with positive sign, haw many times they were significant and show the best model by Hosmer-Lemeshow criteria.

I think it's possible to make it by loop, but I feel really confused with that.

This is a piece of code that I have for one iteration

...

ANSWER

Answered 2019-Mar-02 at 21:42

Here is something that could work

Source https://stackoverflow.com/questions/54963064

QUESTION

How do I sort the output of SessionInfo() in R?

Asked 2018-Jun-13 at 20:49

I want to sort the output of sessionInfo(). I tried doing it using lapply() but I am missing quite a few things.

For instance, when I tried this command:

...

ANSWER

Answered 2017-Jan-22 at 20:09

si <- sessionInfo()
si[] <- lapply(si, function(x) if (is.list(x)) x[sort(names(x))] else sort(x))
si

# R version 3.3.2 (2016-10-31)
# Platform: x86_64-apple-darwin13.4.0 (64-bit)
# Running under: OS X El Capitan 10.11.6
# 
# locale:
#   [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
# 
# attached base packages:
#   [1] base      datasets  graphics  grDevices methods   stats     utils    
# 
# loaded via a namespace (and not attached):
#   [1] tools_3.3.2

Source https://stackoverflow.com/questions/41794350

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

Vulnerabilities

No vulnerabilities reported

Install ResourceSelection

User visible changes in the package are listed in the NEWS file.

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 .

Find more information at: