sjstats | Statistical Functions for Regression Models | Analytics library

by strengejacke R Version: 0.17.2 License: No License

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

kandi X-RAY | sjstats Summary

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

Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like Cramer's V, Phi, or effict size statistics like Eta or Omega squared), or for which currently no functions available. Second, another focus lies on weighted variants of common statistical measures and tests like weighted standard error, mean, t-test, correlation, and more.

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Support

sjstats has a low active ecosystem.

It has 166 star(s) with 19 fork(s). There are 11 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 94 have been closed. On average issues are closed in 147 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sjstats is 0.17.2

Quality

sjstats has 0 bugs and 0 code smells.

Security

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

sjstats code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

sjstats 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

sjstats releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 14686 lines of code, 0 functions and 62 files.

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

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sjstats Key Features

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sjstats Examples and Code Snippets

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Community Discussions

Trending Discussions on sjstats

Function within a function: cramer function "Error in loglin"

R - NA handing in a mann-whitney u test

QUESTION

Function within a function: cramer function "Error in loglin"

Asked 2022-Mar-14 at 07:07

I tried to embed the cramer function from sjstats package. Although the function works perfectly outside the custom function, it doesn't work within it.

Thank you very much in advance.

...

ANSWER

Answered 2022-Feb-27 at 17:17

This happens because x and y are not automatically substituted in a formula for the variables you have passed. Look:

Source https://stackoverflow.com/questions/71267989

QUESTION

R - NA handing in a mann-whitney u test

Asked 2021-Feb-18 at 14:11

I need to compute weighted Mann Whitney U test results a few hundred times. Each iteration involves is a two-sample test for differences between two groups. I can't figure out how to get the existing function to handle missing values without dynamically deleting cases.

The data for a few of the comparisons are here, in a data frame I call dat. All variables with numbers in this sheet are numeric in type.

Here's how I call the sjstats::mannwhitney() function:

...

ANSWER

Answered 2021-Feb-17 at 20:47

I am not sure what class your group column is, but if I do it like this:

Source https://stackoverflow.com/questions/66249513

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