Monthly Archives: January 2020

Posts

January 25, 2020
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. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. To leave a comment for the author, please follow the link and comment on their blog: r-tastic....

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R Shiny Application Split Into Multiple Files

January 25, 2020
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R Shiny Application Split Into Multiple Files

Create an R Shiny Application using multiple files framework to use R Shiny with large applications

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RcppArmadillo 0.9.800.4.0

January 24, 2020
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RcppArmadillo 0.9.800.4.0

Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to a Matlab. RcppArmadillo integrates this library with the R environment and...

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Portfolio starter kit

January 24, 2020
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Portfolio starter kit

Say you’ve built a little nest egg thanks to some discipline and frugality. And now you realize that you should probably invest that money so that you’ve got something to live off of in retirement. Or perhaps you simply want to earn a better return than stashing your cash underneath your bed, I mean your savings account. How do...

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Scotland’s Most Popular Babynames

January 24, 2020
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Downloading the data Shiny App I recently saw this great post on Nathan Yau’s FlowingData website which guesses a person’s name based on what the name starts with. It also needs you to select a gender and a decade for when you were born before it can guess. Of course, it isn’t really a guess and is really just based on...

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A package for analysing signed networks

January 24, 2020
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A package for analysing signed networks

This post introduces the R package signnet, available on CRAN, which implements several methods to analyze signed networks. Signed networks include two types of relations, positive and negative ones (say friends and enemies). They are fundamentally different from traditional networks and require a very different set of tools to analyse them. This post covers everything from data structures to methods and should give...

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Google Trends Email Automation with Shiny

January 23, 2020
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Google Trends Email Automation with Shiny

Google Trends is a FREE tool to gain insights about Google Search Terms your organization cares about. What if you could streamline the process of analyzing keyword search trends and emailing a PDF report in 3-4 seconds? Learn how to do just that. I?...

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ABS time series as tsibbles

January 23, 2020
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library(tidyverse) library(tsibble) library(readabs) library(raustats) Australian data analysts will know how frustrating it is to work with time series data from the Australian Bureau of Statistics. They are stored as multiple ugly Excel files (each containing multiple sheets) with inconsistent formatting, embedded comments, meta data stored along with the actual data, dates stored in a painful Excel format, and so on. Fortunately there are now...

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Web Scraping with rvest + Astro Throwback

Web Scraping with rvest + Astro Throwback

In my first post of the year I will provide a gentle introduction to web scraping with the tidyverse package rvest. As the package name pun suggests, web scraping is the process of harvesting, or extracting, data from websites. The extraction process is greatly simplified by the fact that websites are predominantly built using HTML (= Hyper Text Markup...

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How to create REST APIs with R Plumber

January 23, 2020
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How to create REST APIs with R Plumber

In this blog post, Stephan explains how to translate a simple R script, which transforms tables from wide to long format into a REST API with the R package Plumber and how to run it locally or with Docker. Der Beitrag How to create REST APIs with R Plumber erschien zuerst auf STATWORX.

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