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Preinstalled and own tools

The DRE consists of a web-interface enabling access to virtual machines. Preinstalled tools consist of programs such as SPSS, R Studio, Matlab, and Office, but you are free  to install your own tools.

Because of the security boundary around workspaces, it is possible to offer users the ability to install their own tooling without harming others.

Thanks to the flexibility of the Azure cloud platform, on which the DRE has been built, we can offer a variety of virtualized hardware, including (but not limited) to:
  • Standalone virtual Windows / Linux machines (e.g. 72 cores, 144 Gb RAM);
  • Compute Clusters (HPC);
  • Web-Servers;
  • Several storage options (tables/files/SQL/etc.).

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For many researchers, Stata is irreplaceable because of its reproducibility, extensive documentation, and point-and-click + command-line flexibility. StataCorp offers a perpetual license: you pay once, and you own that version forever. The latest Stata 18 is out now, but Stata 17 remains highly capable.

If you're interested in Stata 17 for Mac, I encourage you to explore the official Stata website or contact your institution's IT department or library to learn more about obtaining the software through legitimate channels.

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StataCorp is a small, employee-owned company. Paying for their software supports continued macOS development, free documentation, and the Stata Journal. More selfishly, it ensures your work is verifiable and reproducible—two pillars of good science.

If you're hesitant to use a cracked version, consider these alternatives: For many researchers, Stata is irreplaceable because of

| Risk Factor | Potential Cost | |-------------|----------------| | Identity theft from keylogger | Thousands of dollars, years of credit repair | | Lost research data | 6+ months of work, delayed degree or publication | | Legal fines | Up to $150,000 per infringed work (US Copyright Law) | | Malware removal | $100–$300 for professional cleanup | | Mac hardware damage | Overheating from crypto miners shortens battery life |

R, in particular, has a package called rio that reads/writes .dta files perfectly. The learning curve is real, but there are thousands of free tutorials. Many journals now accept R code alongside Stata do-files. If you're interested in Stata 17 for Mac,

: Stata's programming language enables users to automate repetitive tasks, create custom functions, and develop sophisticated data analysis workflows.