Dow Jones Stock Market Index (2/4): Trade Volume Exploratory Analysis — R-bloggers

(This article was first published on R Programming – DataScience+, and kindly contributed to R-bloggers) Categories Basic Statistics Tags Data Visualisation Import Data R Programming This is the second part of the 4-series articles about Dow Jones Stock Market. To read the first part go to this link. In this part, I am going to…

via Dow Jones Stock Market Index (2/4): Trade Volume Exploratory Analysis — R-bloggers

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Dow Jones Stock Market Index (1/4): Log Returns Exploratory Analysis — R-bloggers

(This article was first published on R Programming – DataScience+, and kindly contributed to R-bloggers) Categories Basic Statistics Tags Data Visualisation Import Data R Programming In this four-post series, I am going to analyze the Dow Jones Industrial Average (DJIA) index on years 2007-2018. The Dow Jones Industrial Average (DIJA) is a stock market index…

via Dow Jones Stock Market Index (1/4): Log Returns Exploratory Analysis — R-bloggers

Recreating Michael Betancourt’s Bayesian modeling course from his online materials — R-bloggers

 

(This article was first published on Shravan Vasishth’s Slog (Statistics blog), and kindly contributed to R-bloggers)

Several people wanted to have the slides from Betancourt’s lectures at SMLP2018. It is possible to recreate most of the course from his writings:

1. Intro to probability:https://betanalpha.github.io/assets/case_studies/probability_theory.html

2. workflow:https://betanalpha.github.io/assets/case_studies/principled_bayesian_workflow.html

3. Diagnosis:https://betanalpha.github.io/assets/case_studies/divergences_and_bias.html

4. HMC: https://www.youtube.com/watch?v=jUSZboSq1zg

5. Validating inference: https://arxiv.org/abs/1804.06788 6. Calibrating inference:…

via Recreating Michael Betancourt’s Bayesian modeling course from his online materials — R-bloggers

How to add Trend Lines in R Using Plotly — R-bloggers

(This article was first published on R – Displayr, and kindly contributed to R-bloggers) 1. Global trend lines One of the simplest methods to identify trends is to fit a ordinary least squares regression model to the data. The model most people are familiar with is the linear model, but you can add other polynomial…

via How to add Trend Lines in R Using Plotly — R-bloggers

Forecasting Techniques for Demographics

Tomorrow, we will discuss in our cours forecasting tools for demographics. But first, we will see basic static tools. Before playing with longitudinal dataset, let us use “standard” life tables. Some (French) datasets are available on the INED website, but let us use the most popular ones, the TV8890 and TD8890. Those two tables can…

via Forecasting Techniques for Demographics — Freakonometrics

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