Modelizar el consumo eléctrico

A partir de nos prévisions pour la température, on peut tenter de prévoir la consommation électrique. Rappelons que la série de consommation électrique ressemble à ca plot(electricite[passe,”Load”],type=”l”) On peut tenter un modèle assez simple, où la consommation à la date Y_t est fonction d’une tendance linéaire a+bt, de la position dans l’année (sous une forme…

via Modéliser la consommation électrique — Freakonometrics

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Machine Learning with R Caret – Part 1

(This article was first published on R Programming – DataScience+, and kindly contributed to R-bloggers) This blog post series is on machine learning with R. We will use the Caret package in R. In this part, we will first perform exploratory Data Analysis (EDA) on a real-world dataset, and then apply non-regularized linear regression to…

via Machine Learning with R Caret – Part 1 — R-bloggers

Microsoft R Open 3.4.3 now available

(This article was first published on Revolutions, and kindly contributed to R-bloggers) Microsoft R Open (MRO), Microsoft’s enhanced distribution of open source R, has been upgraded to version 3.4.3 and is now available for download for Windows, Mac, and Linux. This update upgrades the R language engine to the latest R (version 3.4.3) and updates the bundled packages (specifically:…

via Microsoft R Open 3.4.3 now available — R-bloggers

RStudio Connect v1.5.1

(This article was first published on RStudio Blog, and kindly contributed to R-bloggers) We’re pleased to announce RStudio Connect 1.5.12. This release includes support for viewing historical content, per-application timeout settings, and important improvements and bug fixes. Historical Content RStudio Connect now retains and displays historical content. By selecting the content’s history, viewers can easily…

via RStudio Connect v1.5.12 — R-bloggers

Estadística y Machine Learning con R

 

Estadística y Machine Learning con R recopila apuntes y materiales utilizados en la docencia de cursos de formación para funcionarios sobre estadística para administraciones públicas y estadística con R, y otros materiales utilizados en la docencia de Econometría. El manual ha sido elaborado exclusivamente con R, utilizando las librerias knitr, markdown y bookdown, que permiten editar y compilar documentos en diferentes formatos.

Estadística y Machine Learning con R

 

Outliers Detection and Intervention Analysis

(This article was first published on R Programming – DataScience+, and kindly contributed to R-bloggers) In my previous tutorial Arima Models and Intervention Analysis we took advantage of the strucchange package to identify and date time series level shifts structural changes. Based on that, we were able to define ARIMA models with improved AIC metrics.…

via Outliers Detection and Intervention Analysis — R-bloggers