General Information
Section outline
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This site houses R-Instat's learning materials.
These videos and written exercises blend learning R-Instat with learning statistics through the continual use of data.
R-Instat is a free, open source statistical software that is easy to use.
It encourages good statistical practices and learning, by making it easy to emphasise concepts rather than theory. This software is designed to support improved statistical and data science literacy everywhere, through work undertaken primarily within Africa.
R-Instat provides a front-end to R.
R is "an open source programming language and software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing". The R language is very widely used.
R, and so also R-Instat, provides a wide range of data sets.
This enables users to practice using interesting, large, and varied data, which is instrumental to learning good statistics practices.
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Though out our years of teaching statistics courses and service course, government, for profit, non-profit and academic organizations we have come across a wide array to people; with a range of relationships with data and statistics.
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To follow along with the exercises on this website you need to have R-Instat installed on your computer. This page provides links and instructions for downloading and installing R-Instat.
Joining Moodle will allow you to track your progress through these materials.
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Questions about R-Instat? Find your answer here. Includes sections:
- General
- Is R-Instat for me
- Data Science
- Climatic
- Satellite and reanalysis data (NetCDF files)
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The background to R-Instat. How did it start and grow, and how was it transformed from Instat into R-Instat. We also try to answer some questions you may have on R-Instat
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If you have any comments or question about R-Instat please post them here and we'll endeavour to respond. We hope within a day but let's see!
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