WebThese packages include: FactoMineR, ade4, stats, ca, MASS and ExPosition. However, the result is presented differently according to the used packages. To help in the interpretation and in the visualization of multivariate analysis - such as cluster analysis and dimensionality reduction analysis - we developed an easy-to-use R package named ... WebFeatures. For each type of analysis, explor launches a shiny interactive Web 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, …
Interactive MCA/PCA results exploration with explor
WebR 替换列表中的值,r,R,我有一个嵌套列表,它可能看起来像这样: characlist<-list(list(c(1,2,3,4)),c(1,3,2,NA)) 有人能告诉我代码出了什么问题吗? WebJul 5, 2024 · This is a script for automatic visualisation of MCA results from FactoMineR in 3 dimensions using Plotly (exported as html). It contains a function called plotfun() that transforms the results of FactoMineR's MCA function FactoMineR::MCA() to a structure that can be used by Plotly, and then creates and exports in html format six 3d scatterplots ... hsp pep
GitHub - Statsomat/PCA: Automated Principal Components Analysis (PCA ...
WebGitHub - cran/Factoshiny: This is a read-only mirror of the CRAN R package repository. Factoshiny — Perform Factorial Analysis from 'FactoMineR' with a Shiny Application. Homepage: http://factominer.free.fr/graphs/factoshiny.html cran Factoshiny master 1 branch 12 tags Code 12 commits Failed to load latest commit information. R build inst … WebA tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. the introduction of “supplementary'' information; avallon 89200