R for Life Science Researchers training course

Data organization in spreadsheets:

•   formatting problems and recommendation for a better formatting (helping following bioinformatics analyses)

•  Limitations

Introduction to R and R studio:

•   Introduction
•   Define the following terms as they relate to R: object, assign, call, function, arguments, options.
•   Call functions and use arguments to change their default options.

Manipulating tables (data frames) in R:

• Load external data from a .csv file into a data frame.
• Summarize and manipulate the contents of a data frame

Manipulating and analyzing data in R with dplyr package

•  Introduction
•  Describe the purpose of the dplyr and tidyr packages.
• Manipulate and reshape data

Data visualisation in R:

• Produce scatter plots, boxplots, and time series plots using ggplot package Stats with R:
• How to perform statistical tests in R (for qualitative and quantitative parametric data)

More ...

•  Introduction
• Brief continuation of stats with R if necessary
• Bring your own data!!!!!!!! Discussion and help.