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Manipuler et traiter les données manquantes dans R
April 20 @ 7:00 pm - 9:00 pm UTC+0
[événement en français animé par Julie Josse – http://juliejosse.com/]
Handling missing values in R,
The aim of this meetup is to present an overview of the missing values literature and to discuss the
potential pitfalls of the popular approaches in use and to show what are the recent tools available to
handle, in a practicable way, missing values.
We will touch upon the topics of single imputation with a focus on matrix completion methods
based on iterative regularized SVD, notions of confidence intervals by giving the fundamentals of
multiple imputation strategies, as well as issues of visualization with incomplete data.
The approaches will be illustrated with data with continuous, binary and categorical variables using
some of the main R packages Amelia, mice, missForest, missMDA, norm, softimpute, VIM.
Please download the dataset here : http://juliejosse.com/wp-content/uploads/2016/06/ozoneNA.csv
and be sure to have installed the packages below :
install.packages(c(“VIM”, “missMDA”, “FactoMineR”, “Amelia”, “mice”))