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Published in:
2016 | OriginalPaper | Chapter
2. Getting Started in R
Author : Ezra Haber Glenn
Published in: Working with the American Community Survey in R
Publisher: Springer International Publishing
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Abstract
In recent years, the R statistical package has emerged as the leading open-source alternative to applications such as SPSS, Stata, and SAS. In some fields—notably biological modeling and econometrics—R is becoming more widely used than commercial competitors, due in large part to the open source development model which allows researchers to collaboratively design custom-built packages for niche applications. Unfortunately, one area of application that has not been as widely explored—despite the potential for fruitful development—is the use of R for demographic analysis. Prior to the current work, there were a few R packages to bridge the gap between GIS and statistical analysis [4]—and one contribution to help with the downloading and management of spatial data and associated datasets from the 2000 Census [3]—but no R packages existed to manage ACS data or address the types of issues raised above.