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friendly
matlib:Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics
A collection of matrix functions for teaching and learning matrix linear algebra as used in multivariate statistical methods. Many of these functions are designed for tutorial purposes in learning matrix algebra ideas using R. In some cases, functions are provided for concepts available elsewhere in R, but where the function call or name is not obvious. In other cases, functions are provided to show or demonstrate an algorithm. In addition, a collection of functions are provided for drawing vector diagrams in 2D and 3D and for rendering matrix expressions and equations in LaTeX.
Maintained by Michael Friendly. Last updated 20 days ago.
diagramslinear-equationsmatrixmatrix-functionsmatrix-visualizervectorvignette
65 stars 12.89 score 900 scripts 11 dependents
nickkunz
crassmat:Conditional Random Sampling Sparse Matrices
Conducts conditional random sampling on observed values in sparse matrices. Useful for training and test set splitting sparse matrices prior to model fitting in cross-validation procedures and estimating the predictive accuracy of data imputation methods, such as matrix factorization or singular value decomposition (SVD). Although designed for applications with sparse matrices, CRASSMAT can also be applied to complete matrices, as well as to those containing missing values.
Maintained by Nick Kunz. Last updated 5 years ago.
matrix-functionsmatrix-librarysampling-methods
1 stars 2.70 score