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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 18 days ago.
diagramslinear-equationsmatrixmatrix-functionsmatrix-visualizervectorvignette
65 stars 12.89 score 900 scripts 11 dependents
bioc
GenomicDataCommons:NIH / NCI Genomic Data Commons Access
Programmatically access the NIH / NCI Genomic Data Commons RESTful service.
Maintained by Sean Davis. Last updated 2 months ago.
dataimportsequencingapi-clientbioconductorbioinformaticscancercore-servicesdata-sciencegenomicsncitcgavignette
87 stars 11.94 score 238 scripts 12 dependents
eddelbuettel
tint:'tint' is not 'Tufte'
A 'tufte'-alike style for 'rmarkdown'. A modern take on the 'Tufte' design for pdf and html vignettes, building on the 'tufte' package with additional contributions from the 'knitr' and 'ggtufte' package, and also acknowledging the key influence of 'envisioned css'.
Maintained by Dirk Eddelbuettel. Last updated 5 days ago.
263 stars 9.80 score 318 scripts 1 dependentseddelbuettel
pinp:'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Sciences of the United States of America' ('PNAS') 'LaTeX' style, and adapted for use with 'markdown' and 'pandoc'.
Maintained by Dirk Eddelbuettel. Last updated 2 months ago.
149 stars 7.81 score 2 scripts 1 dependentsbioc
ROSeq:Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data
ROSeq - A rank based approach to modeling gene expression with filtered and normalized read count matrix. ROSeq takes filtered and normalized read matrix and cell-annotation/condition as input and determines the differentially expressed genes between the contrasting groups of single cells. One of the input parameters is the number of cores to be used.
Maintained by Krishan Gupta. Last updated 5 months ago.
geneexpressiondifferentialexpressionsinglecellcount-datagene-expressiongene-expression-profilesnormalizationpopulationsranktmmtungtung-datasettutorialvignette
2 stars 4.34 score 11 scripts