nipals | Principal Component Analysis with missing data using NIPALS | Development Tools library

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kandi X-RAY | nipals Summary

nipals is a R library typically used in Utilities, Development Tools applications. nipals has no vulnerabilities and it has low support. However nipals has 4 bugs. You can download it from GitHub.

The nipals package provides two functions to perform Principal Components Analysis of a matrix. (1) The nipals function uses Non-linear Iterative Partial Least Squares. (2) The empca function uses EM PCA. NIPALS has been implemented several times in R packages. EMPCA has previously appeared in python, but is available in R here for the first time. This package strives to have the best (fast and accurate) R implementations. The empca() function should be considered experimental. There is a problem using empca() on matrices that are both (1) non-full rank (2) have missing values.

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nipals has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 138 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nipals is current.

Quality

nipals has 4 bugs (0 blocker, 0 critical, 0 major, 4 minor) and 38 code smells.

Security

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

nipals code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nipals 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

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

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

It has 3515 lines of code, 58 functions and 21 files.

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

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nipals Key Features

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nipals Examples and Code Snippets

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Community Discussions

Trending Discussions on nipals

R: How to use ggbiplot with pcaRes object? plot PCA results of data with missing values

QUESTION

R: How to use ggbiplot with pcaRes object? plot PCA results of data with missing values

Asked 2018-Apr-12 at 04:53

I usually perform Principal Component Analyses with the prcomp function, and plot the results in a fancy way with ggbiplot (or otherwise just with ggplot2 extracting pca.obj$x).

Like this:

...

ANSWER

Answered 2018-Apr-12 at 04:53

First of all, good job finding a PCA package that will handle NAs.

Since ggbiplot will not accept pcaRes objects, we can use the data obtained by the pcaRes and sneak it into the original prcomp object.

Obviously your real data will already contain the NA values, so we'll start with that data set and swap them out for some dummy values to allow us to run the first prcomp pca.

Source https://stackoverflow.com/questions/49641896

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

Vulnerabilities

No vulnerabilities reported

Install nipals

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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