Blogs

Exponential Smoothing Model

Introduction The main idea here is breaking the ice in terms of exponential smoothing models First of all it is importan to show some behaviours patterns usually found in time series Trends: it is usually observed when the time series follow one specific direction. It can be linear or not. Seasonality: it is a pattern that repeat in a certain times (specific period) Cycle: Like seasonality but it appears in non specific time

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Linear Regression

Data We are using the MASS library that contains the Boston dataset. These records measure the median house value for 506 neighborhoods around Boston. library(MASS) data <- MASS::Boston fix(Boston) names(Boston) ## [1] "crim" "zn" "indus" "chas" "nox" "rm" "age" ## [8] "dis" "rad" "tax" "ptratio" "black" "lstat" "medv" A simple Linear Regression We are using the lm() function to fit a simple linear regression model. The medv is a response variable and lstat the predictor variable.

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Linked post

I’m a linked post in the menu. You can add other posts by adding the following line to the frontmatter: menu = "main" Lorem ipsum dolor sit amet, consectetur adipiscing elit. In mauris nulla, vestibulum vel auctor sed, posuere eu lorem. Aliquam consequat augue ut accumsan mollis. Suspendisse malesuada sodales tincidunt. Vivamus sed erat ac augue bibendum porta sed id ipsum. Ut mollis mauris eget ligula sagittis cursus. Aliquam id pharetra tellus.

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Go is for lovers

Hugo uses the excellent go html/template library for its template engine. It is an extremely lightweight engine that provides a very small amount of logic. In our experience that it is just the right amount of logic to be able to create a good static website. If you have used other template systems from different languages or frameworks you will find a lot of similarities in go templates. This document is a brief primer on using go templates.

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Hugo is for lovers

Step 1. Install Hugo Goto hugo releases and download the appropriate version for your os and architecture. Save it somewhere specific as we will be using it in the next step. More complete instructions are available at installing hugo Step 2. Build the Docs Hugo has its own example site which happens to also be the documentation site you are reading right now. Follow the following steps: Clone the hugo repository Go into the repo Run hugo in server mode and build the docs Open your browser to http://localhost:1313 Corresponding pseudo commands:

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Hello R Markdown

R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. You can embed an R code chunk like this: summary(cars) ## speed dist ## Min. : 4.0 Min. : 2.00 ## 1st Qu.:12.0 1st Qu.: 26.00 ## Median :15.0 Median : 36.00 ## Mean :15.4 Mean : 42.98 ## 3rd Qu.

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Creating a new theme

Introduction This tutorial will show you how to create a simple theme in Hugo. I assume that you are familiar with HTML, the bash command line, and that you are comfortable using Markdown to format content. I’ll explain how Hugo uses templates and how you can organize your templates to create a theme. I won’t cover using CSS to style your theme. We’ll start with creating a new site with a very basic template.

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Migrate from Jekyll

Move static content to static Jekyll has a rule that any directory not starting with _ will be copied as-is to the _site output. Hugo keeps all static content under static. You should therefore move it all there. With Jekyll, something that looked like ▾ <root>/ ▾ images/ logo.png should become ▾ <root>/ ▾ static/ ▾ images/ logo.png Additionally, you’ll want any files that should reside at the root (such as CNAME) to be moved to static.

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