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Nursing Sciences : Statistical support

This page was created for the online users during the COVID 19 period. It is meant to be a one-stop resource for nursing sciences, Postgraduate students.

Statistical Software Downloads

Procedure for requesting software to install on personal computer:

UP registered students can request software (including To have IBM SPSS, Atlas.ti, Qualtrics and Stataon the Service Management Automation portlet on the UP portal by typing the software name on the search tab, then Request Service then follow the prompts.

Download Free software on personal computer.

  1. Download R and R studio
  2. Download Tableau Public
  3. Download Python
  4. SAS Statistical Software Download

Software on Research Commons computers

R , IBM SPSS and Atlas.ti  are installed on all Hatfield and Groenkloof Research Commons computers. The Veterinary Research Commons has SPSS & ArcGIS installed.

 

Statistical Consultation Service

Need assistance with Statistical Analysis using SPSS, R, PYTHON, STATA or SAS?

There is a pool of academics and researchers ready to assist with your data analysis needs, whether it be for your thesis, dissertation, journal article or book manuscript.

Contact Mikateko Ngobeni 

at Mikateko.Ngobeni@up.ac.za with the details and your request will be allocated to a facilitator in your field of study. 


 

Learn how to use R!

Data analysis and R programming: This online introduction to data  R programming .
 

Quick list of useful R packages: this is RStudio Support’s list of useful packages with installation instructions and functionality descriptions. 
 

RStudio Blog: RStudio’s blog is great to find information about RStudio.
 

R-Bloggers: The R-Bloggers blog has useful tutorials and news articles posted by other R users.
 

R-Bloggers' tutorials for learning R: This blog post from R-Bloggers compiles some basic R tutorials and also links to more advanced guides.

Software-specific Sources

Atlas.ti:


IMB SPSS:


Excel:


Mplus:

Recommended Qualitative Statistical Support sources

Recommended Quantitative Statistical Support sources