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explor

Interfaces for Multivariate Analysis in R

https://github.com/juba/explor

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    codemeta.json file
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    .zenodo.json file
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    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
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    Scientific vocabulary similarity
    Low similarity (13.1%) to scientific vocabulary

Keywords

cran htmlwidgets multivariate-analysis r shiny
Last synced: 6 months ago · JSON representation

Repository

Interfaces for Multivariate Analysis in R

Basic Info
Statistics
  • Stars: 196
  • Watchers: 12
  • Forks: 15
  • Open Issues: 3
  • Releases: 3
Topics
cran htmlwidgets multivariate-analysis r shiny
Created about 11 years ago · Last pushed over 2 years ago
Metadata Files
Readme

README.md

explor

CRAN_Status_Badge DOI CRAN Downloads R build status

explor is an R package to allow interactive exploration of multivariate analysis results.

For now on, it is usable with the following function results:

Analysis | Function | Package | Notes ------------- | ------------- | ---------- | -------- Principal Component Analysis | PCA | FactoMineR | - Correspondance Analysis | CA | FactoMineR | - Multiple Correspondence Analysis | MCA | FactoMineR | - Principal Component Analysis | dudi.pca | ade4 | Qualitative supplementary variables are ignored Correspondance Analysis | dudi.coa | ade4 | - Multiple Correspondence Analysis | dudi.acm | ade4 | Quantitative supplementary variables are ignored Specific Multiple Correspondance Analysis | speMCA | GDAtools | - Multiple Correspondance Analysis | mca | MASS | Quantitative supplementary variables are not supported Principal Component Analysis | princomp | stats | Supplementary variables are ignored Principal Component Analysis | prcomp | stats | Supplementary variables are ignored Correspondance Analysis | textmodel_ca | quanteda.textmodels | Only coordinates are available

Features

For each type of analysis, explor launches a shiny interactive interface which is displayed inside RStudio or in your system Web browser. This interface provides both numerical results as dynamic tables (sortable and searchable thanks to the DT package) and interactive graphics thanks to the scatterD3 package. You can zoom, drag labels, hover points to display tooltips, hover legend items to highlights points, and the graphics are fully updatable with animations which can give some visual clues. You can also export the current plot as an SVG file or get the R code to reproduce it later in a script or document.

Here is a preview of what you will get. Note that the interface is available both in english and french, depending on your locale :

Installation

To get the stable version from CRAN:

r install.packages("explor")

To install the latest dev version from GitHub:

r install.packages("remotes") # If necessary remotes::install_github("juba/scatterD3") remotes::install_github("juba/explor")

Usage

Usage is very simple : you just apply the explor function to the result of one of the supported analysis functions.

Example with a principal correspondence analysis from FactoMineR::PCA:

```r library(FactoMineR) library(explor)

data(decathlon) pca <- PCA(decathlon[,1:12], quanti.sup = 11:12, graph = FALSE) explor(pca) ```

Example with a multiple correspondence analysis from FactoMineR::MCA:

r data(hobbies) mca <- MCA(hobbies[1:1000,c(1:8,21:23)],quali.sup = 9:10, quanti.sup = 11, ind.sup = 1:100) explor(mca)

Documentation and localization

Two vignettes are provided for more detailed documentation:

Depending on your system locale settings, the interface is displayed either in english or in french (other languages can be easily added).

Owner

  • Name: Julien Barnier
  • Login: juba
  • Kind: user
  • Location: Villeurbanne, France

GitHub Events

Total
  • Watch event: 2
Last Year
  • Watch event: 2

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 425
  • Total Committers: 1
  • Avg Commits per committer: 425.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Julien Barnier j****n@n****g 425
Committer Domains (Top 20 + Academic)
nozav.org: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 47
  • Total pull requests: 0
  • Average time to close issues: 3 months
  • Average time to close pull requests: N/A
  • Total issue authors: 32
  • Total pull request authors: 0
  • Average comments per issue: 4.21
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • juba (12)
  • mboussaa (2)
  • gabrielparriaux (2)
  • 419kfj (2)
  • jl5000 (2)
  • juliendgros (1)
  • ameyenn (1)
  • label42 (1)
  • lvaudor (1)
  • GregLeCamp (1)
  • larmarange (1)
  • daattali (1)
  • ginolhac (1)
  • ShixiangWang (1)
  • ghost (1)
Pull Request Authors
Top Labels
Issue Labels
enhancement (6)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 694 last-month
  • Total docker downloads: 76
  • Total dependent packages: 2
  • Total dependent repositories: 4
  • Total versions: 14
  • Total maintainers: 1
cran.r-project.org: explor

Interactive Interfaces for Results Exploration

  • Versions: 14
  • Dependent Packages: 2
  • Dependent Repositories: 4
  • Downloads: 694 Last month
  • Docker Downloads: 76
Rankings
Stargazers count: 2.3%
Forks count: 5.8%
Average: 9.6%
Downloads: 12.0%
Dependent packages count: 13.2%
Dependent repos count: 14.8%
Maintainers (1)
julien.barnier@cnrs.fr
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • DT * imports
  • RColorBrewer * imports
  • dplyr >= 1.0 imports
  • formatR * imports
  • ggplot2 * imports
  • highr * imports
  • scatterD3 >= 1.0.0 imports
  • shiny >= 1.0 imports
  • tidyr >= 1.0 imports
  • FactoMineR * suggests
  • GDAtools * suggests
  • MASS * suggests
  • ade4 >= 1.7 suggests
  • knitr * suggests
  • quanteda * suggests
  • quanteda.textmodels * suggests
  • rmarkdown * suggests
  • testthat * suggests
.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v3 composite
  • actions/upload-artifact main composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action v4.4.1 composite
  • actions/checkout v3 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite