SpatialEpi | R Package of methods and data for spatial epidemiology | Data Visualization library

by rudeboybert R Version: v1.2.5 License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | SpatialEpi Summary

SpatialEpi is a R library typically used in Analytics, Data Visualization applications. SpatialEpi has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

R Package of methods and data for spatial epidemiology

Support

Quality

Security

License

Reuse

Support

SpatialEpi has a low active ecosystem.

It has 22 star(s) with 8 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 18 have been closed. On average issues are closed in 73 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SpatialEpi is v1.2.5

Quality

SpatialEpi has 0 bugs and 0 code smells.

Security

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

SpatialEpi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SpatialEpi 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

SpatialEpi releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

It has 385 lines of code, 0 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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 SpatialEpi

Get all kandi verified functions for this library.

SpatialEpi Key Features

No Key Features are available at this moment for SpatialEpi.

SpatialEpi Examples and Code Snippets

No Code Snippets are available at this moment for SpatialEpi.

Community Discussions

Trending Discussions on SpatialEpi

How to obtain standard errors of local regression coefficients in spgwr::ggwr()?

Sort data by area and aggregate information by strata

Find the smallest number from a row in a matrix filtered by a value in a data frame?

QUESTION

How to obtain standard errors of local regression coefficients in spgwr::ggwr()?

Asked 2021-Jun-06 at 15:55

I am using spgwr::ggwr() to fit generalized geographically weighted regression with Poisson model and log-link function. The results provide local coefficient estimates, but i am missing how to get their standard errors (or t statistics) to compute pseudo p-values.

Below is a toy example using SpatialEpi::NYleukemia dataset:

...

ANSWER

Answered 2021-Jun-06 at 15:55

You may obtain standard errors from local coefficients running the function GWmodel::ggwr.basic. Function spgwr::ggwr() returns coefficients but no standard errors.

Source https://stackoverflow.com/questions/67845251

QUESTION

Sort data by area and aggregate information by strata

Asked 2021-Jan-13 at 18:51

I have a data frame which is individual-level data of people in a country. In the said data frame I have information on county or municipality of residence, sex, age, race and cancer status. I want to aggregate the data into a new data frame ordered by counties and stratified by age (in categories), sex and race. The original data has a structure similar to the fictitious data below.

...

ANSWER

Answered 2021-Jan-12 at 19:44

I'm assuming you want dplyr. Given your sample data, try this:

Source https://stackoverflow.com/questions/65690774

QUESTION

Find the smallest number from a row in a matrix filtered by a value in a data frame?

Asked 2020-Feb-02 at 22:04

I have a dataset of locations, and I am trying to find the distance to the closest metro area. Sample:

...

ANSWER

Answered 2020-Feb-02 at 22:04

We can use max.col on the negative transformed df_dist after setting the values in columns that are 0 for 'is_metro' to 'Inf'. The max.col will get the index of the maximum value (by changing it to negative -, it gives the index of min value) and then extract the values with a row/column index

Source https://stackoverflow.com/questions/60030658

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

Vulnerabilities

No vulnerabilities reported

Install SpatialEpi

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 .

Find more information at: