Many different statistical software are used at SLU. The most common are R, SAS and JMP, together with Minitab that is often used as teaching software in statistics.
Statistics in statistical software
Teaching of statistical programming
In our Ph.D. courses data exercises are done in R, several of our undergraduate courses use R, while others use Mintab, which is a program with simpler user interface, but less possibilities to do statistical analysis. We do not use JMP in our courses, but this a good option for you who want to do more complex analysis and do not want to write code. SAS is another advanced statistical program that we can help you with.
At the moment we do not offer courses with statistical programming as main contents, but you have always the possibility ask questions on statistical software and programming in our consultancy services (länk) or drop-in hours.
Occassionally workshops in R tidyverse and R Markdown are given. Check the calendar!
Statistical programming – teaching material
The following materials were prepared by Statistics@SLU. See further down for more additional links.
This link contains the contents of a former course called Basic SAS programming.
Descriptive statistics and basic ANOVA and regression models in Minitab.
R programming can be done in base R or using the R tidyverse. The following material is produced for our R tidyverse workshops and new material will appear here as it becomes available. R tidyverse is a collection of packages that makes it easier to handle data. For example, it provides easy to read code to filter out observations using certain conditions, to select specific variables, create new variables or to compute group means or other data summaries.
Parallel computations in R.
Plots and descriptive statistics in R
Statistical programming – Useful links
SAS - SAS user guide (documentation on syntax for all procedures):
Minitab - Minitab support
JMP -JMP documentation
R -R manuals