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Factominer r package

Factominer r package

Name: Factominer r package

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4 May FactoMineR: Multivariate Exploratory Data Analysis and Data Mining. Exploratory data analysis methods to summarize, visualize and describe. 26 Sep NeedsCompilation no. Repository CRAN. Date/Publication UTC. R topics documented: FactoMineR-package. FactoMineR, an R package dedicated to multivariate Exploratory Data Analysis. Install FactoMineR - How to cite FactoMineR? - History of FactoMineR - Factoshiny.

18 Mar Abstract: In this article, we present FactoMineR an R package dedicated to multivariate data analysis. The main features of this package is the. Exploratory data analysis methods to summarize, visualize and describe datasets . The main principal component methods are available, those with the largest. Several functions from different packages are available in R for performing PCA: prcomp and princomp (built-in R stats package), PCA (FactoMineR package).

There are a number of R packages implementing principal component methods. These packages include: FactoMineR, ade4, stats, ca, MASS and ExPosition. 13 Jul Then you will find videos presenting the way to implement in FactoMineR, to deal with missing values in PCA thanks to the package missMDA. FactoMineR is an R package dedicated to multivariate data analysis. The main features of this package is the possibility to take into account different types of. FactoMineR: Factor Analysis and Data Mining with R. an R package for exploratory data analysis Package source: focomequaline.com Windows binary. Package repository, View on CRAN. Installation, Install the latest version of this package by entering the following in R: focomequaline.comes("FactoMineR").

read-only mirror of the CRAN R package repository. FactoMineR — Multivariate Exploratory Data Analysis and Data Mining. Homepage: http:// focomequaline.com 13 Oct We'll use the dataset tea that comes in the R package "FactoMineR". It's a data frame (of factors) containing the answers of a questionnaire on. 3 Oct Last year, we created this data analysis tutorial using R and the excellent package FactoMineR for a course at ENSAE (in French). The dataset. I have had this error before because the function requires the variables to be factors (and the data I was passing it wasn't fully converted into factors). Unlike a lot.

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