![]() ![]() It supports a diverse range of packages and processes, such as geospatial calculation, machine learning tools, and advanced graphics. R is a free, open-source programming language that is commonly used to conduct statistical analyses. Unfortunately, it can be rather expensive for a full version, and version upgrades are at full price. ![]() Stata can also be used to create maps and dynamic documents, though this last feature is restricted to Stata 15. Its biggest advantage it that, given its widespread use among economists and the possibility of creating user-written commands, there is a wide variety of microeconometric methods that can be implemented with Stata. It can be used for data cleaning, analysis and visualization, and allows users to create reproducible code as well as using point-and-click commands. Stata is a proprietary statistical software package widely adopted by economists. Some, like Stata, are proprietary and specialized for applications to econometric problems in the survey-data context others, like R, are open-source and follow more general coding standards so that they are more readily adaptable to tasks that are not well-defined in the econometric framework (such as Spatial Analysis). There is a broad range of software tools available for data analysis. ![]() Software tools are a crucial component of performing sampling and power calculations in development research. ![]()
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