--- title: "FAQ" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{FAQ} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ``` Here are answers to some common questions about **ade4** (more to come soon). ## Installation ### How to install the current version of `ade4`? The easiest way to install ade4 is to use `install.packages("ade4")` in your R session. ### How to install the development version of `ade4`? To install the development version from github: ```r remotes::install_github("adeverse/ade4") ``` ### How do I know which `ade4` version I'm using? In your R session, type: ```r packageDescription("ade4", field="Version") ``` ## Graphics ### What is `adegraphics`? The package `adegraphics` provides a complete reimplementation of graphical functionalities of `ade4`. It is based on `lattice` and provides a convenient way to manage graphics as objects. Moreover, it offers much more flexibility than `ade4` to customize your plots. ### How to load `adegraphics`? As `adegraphics` provides a reimplementation of `ade4` graphical functions, many functions have the same name in the two packages. To be sure to use `adegraphics` functions, `adegraphics` should be loaded **after** `ade4`: ```{r, message=FALSE} library(ade4) library(adegraphics) ``` An alternative it to explicitly specify the package in the call using the `::` operator: ```{r, eval=FALSE} adegraphics::s.label() ``` ### How to interpret ellipses plotted by `s.class` function? The ellipses represent the main variation for individuals of a given class. They are based on inertia statistics not on significance levels. ## Simple Analysis ### How to obtain coordinates for individuals? In simple analysis (e.g., `dudi.pca`), scores for individuals are stored in `$li` element of the returned object ### How to obtain coordinates for variables? In simple analysis (e.g., `dudi.pca`), scores for variables are stored in `$co` element of the returned object ### What are the `$l1` and `$c1` elements of a dudi ? In simple analysis (e.g., `dudi.pca`), the `$c1` element contains the principal axes (aka "loadings" of the variables) and the `$l1` element contains the principal components. The norm of these two elements is equal to 1, which makes them useful for drawing biplots (for example).