I use R very frequently and take for granted much that it has to offer. I forget how R is different from similar tools, so I have trouble communicating the benefits of using R. The goal of this post is to highlight R's main strengths, but first... my story.
How I got started with R
I was introduced to R while I was working as a Research Analyst at the Federal Reserve Bank of St. Louis. I wanted to do statistical analysis at home but the tools I used at work (GAUSS and SAS) were expensive, so I started doing my analysis in Excel.
But as my analysis became more complex, the Excel files became large and cumbersome. The files also did not document my thought process, which made it difficult to revisit analysis I had started several months earlier. I asked my fellow analysts for advice and one introduced me to R and Modern Applied Statistics with S. Thus began my auto-didactic journey with R.
How I got started with R
I was introduced to R while I was working as a Research Analyst at the Federal Reserve Bank of St. Louis. I wanted to do statistical analysis at home but the tools I used at work (GAUSS and SAS) were expensive, so I started doing my analysis in Excel.
But as my analysis became more complex, the Excel files became large and cumbersome. The files also did not document my thought process, which made it difficult to revisit analysis I had started several months earlier. I asked my fellow analysts for advice and one introduced me to R and Modern Applied Statistics with S. Thus began my auto-didactic journey with R.
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