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fullRankMatrix  

Generation of Full Rank Design Matrix
View on CRAN: Click here


Download and install fullRankMatrix package within the R console
Install from CRAN:
install.packages("fullRankMatrix")

Install from Github:
library("remotes")
install_github("cran/fullRankMatrix")

Install by package version:
library("remotes")
install_version("fullRankMatrix", "0.1.0")



Attach the package and use:
library("fullRankMatrix")
Maintained by
Paula Weidemueller
[Scholar Profile | Author Map]
First Published: 2024-06-28
Latest Update: 2024-06-28
Description:
Creates a full rank matrix out of a given matrix. The intended use is for one-hot encoded design matrices that should be used in linear models to ensure that significant associations can be correctly interpreted. However, 'fullRankMatrix' can be applied to any matrix to make it full rank. It removes columns with only 0's, merges duplicated columns and discovers linearly dependent columns and replaces them with linearly independent columns that span the space of the original columns. Columns are renamed to reflect those modifications. This results in a full rank matrix that can be used as a design matrix in linear models. The algorithm and some functions are inspired by Kuhn, M. (2008) <doi:10.18637/jss.v028.i05>.
How to cite:
Paula Weidemueller (2024). fullRankMatrix: Generation of Full Rank Design Matrix. R package version 0.1.0, https://cran.r-project.org/web/packages/fullRankMatrix. Accessed 17 Feb. 2025.
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