R is closer to the stats/machine learning community so you'll find more support than stata.
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2. ➔ Stata offers a graphical user interface which is easy to use.
These can be adapted for various kinds of users.
➔ Stata helps you to create graphs.
➔ It provides advanced components such as a data editor
which help you to track live data, while you use the
functions.
➔ GUI in Stata has useful features such as Data Analysis,
Statistical Analysis, Data Management.
Applications of Stata
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3. R Vs Stata-
Comparative Study
➔ R is a programming language, and someone from a
non-programming background will find it difficult to
learn R. However, it can be learnt with the help of free
sources.
➔ Stata is software, which makes it comparatively easy.
It is easy to learn Stata even if you don’t have a
programming background. In Stat you can find a
community of users who will help you to learn.
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4. R Vs Stata-
Comparative Study
➔ R is known to be an open source software, therefore
you will not get any official online support. However,
support is ensured through existing documents and
manuals.
➔ As Stata is a paid software. You get online support . It
offers supports to the users through video tutorials,
FAQs, News and Webinars.
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5. R Vs Stata-
Comparative Study
➔ R is free of cost and can be used by anyone. It can
be installed in your system and used without
incurring any cost.
➔ In order to use Stata, you will have to pay a price
of $179.00 . It is available in different versions,
exclusively designed for different audiences such
as Students, Audiences and Business Enterprises.
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6. R Vs Stata-
Comparative Study
➔ R offers updates at fixed regular intervals. You
will get updates on latest packages, which will
help you to stay updated on the Data Science
environment.
➔ Stata provides updates with a period of one
year.
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