Quick Start | Example 1: pitprops data | Example 2: single-cell RNA-seq data
Package: epca 1.1.0
Fan Chen
epca: Exploratory Principal Component Analysis
Exploratory principal component analysis for large-scale dataset, including sparse principal component analysis and sparse matrix approximation.
Authors:
epca_1.1.0.tar.gz
epca_1.1.0.zip(r-4.7-any)epca_1.1.0.zip(r-4.6-any)epca_1.1.0.zip(r-4.5-any)
epca_1.1.0.tgz(r-4.6-any)epca_1.1.0.tgz(r-4.5-any)
epca_1.1.0.tar.gz(r-4.7-any)epca_1.1.0.tar.gz(r-4.6-any)
epca_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
epca/json (API)
| # Install 'epca' in R: |
| install.packages('epca', repos = c('https://fchen365.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fchen365/epca/issues
Datasets:
- pitprops - Pitprops correlation data
community-detectionexploratory-data-analysismatrix-decompositionspcaprincipal-component-analysissparse-matrix
Last updated from:d61352c653. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 153 | ||
| source / vignettes | OK | 264 | ||
| linux-release-x86_64 | NOTE | 152 | ||
| macos-release-arm64 | NOTE | 179 | ||
| macos-oldrel-arm64 | NOTE | 167 | ||
| windows-devel | NOTE | 94 | ||
| windows-release | NOTE | 82 | ||
| windows-oldrel | NOTE | 76 | ||
| wasm-release | OK | 146 |
Exports:cpvedist.matrixinnermisClustRatepolarpverotationscashrinkagesmavarimax.criteriavgQ.absmin
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Exploratory Principal Component Analysis | epca-package |
| Absmin Rotation | absmin |
| Absmin Criteria | absmin.criteria |
| Cumulative Proportion of Variance Explained (CPVE) | cpve |
| Matrix Column Distance | dist.matrix |
| Matrix Distance | distance |
| Calculate fractional exponent/power | exp.frac |
| Hard-thresholding | hard |
| Matrix Inner Product | inner |
| Label Cluster | labelCluster |
| Mis-Classification Rate (MCR) | misClustRate |
| Element-wise Matrix Norm | norm.Lp |
| Permute columns of a block membership matrix | permColumn |
| Pitprops correlation data | pitprops |
| Polar Decomposition | polar |
| Print SCA | print.sca |
| Print SMA | print.sma |
| Polar-Rotate-Shrink | prs |
| Proportion of Variance Explained (PVE) | pve |
| Find root matrix | rootmatrix |
| Varimax Rotation | rotation |
| Sparse Component Analysis | sca |
| Shrinkage | shrinkage |
| Sparse Matrix Approximation | sma |
| Soft-thresholding | soft |
| Varimax Rotation | varimax |
| The varimax criterion | varimax.criteria |
| Gradient of Absmin Criterion | vgQ.absmin |