Introducing my new blog written solely in R Markdown

When I realized it was so convenient to write blog directly using R Markdown, I searched if there is a specific tool for it. And I found Blogdown, an R package developed by Yihui Xie, who also developed R Markdown.

Catalog

As a summary, I would like to create a catalog for the main topics I wrote on google blogger before July 2018. I included some figures too, most were created in R.

1. Details behind my work at Marron Institute

• The Zipf’s Law in details and the math behind
  
  
• How to use our city and population weights
  
• How I created the city-level GDP per capita
  
• How I calculated the distances for airport score

2. Data Visualization

• The pattern of 3.5 million commuting trips in Chicago
  
  
• Visualization using heatmap
  
  
• 3D World Map: Air Connectivity (Airport Score)
  
  
• Method and New Updates for Airport Score
  
• Visualization of Conflicts in Colombia and the World
  
  
• City population, growth rate, and income

3. Introduction to Statistics

• Boxplot can be viewed as a vertical histogram
  
  
• RSS Statistic of the year: 69 Americans were killed by lawnmowers annually
  
• Why a perfect correlation can mean nothing
  
• Why it is so wrong to average ratios: Simpson’s paradox
  
• How to calculate the weighted standard deviation
  
• Logistic regression can be equivalent to contingency table explained by an example

4. R programming and statistical modeling

• Modeling of Slums: Model Selection using Lasso and Best Subset
  
  
• Best subset selection uses the branch and bound algorithm to speed up
  
• Spatial join is very useful: project coordinate onto geological grid
  
• How to batch analysis multiple data files in R