This course is intended for those with no or little experience with statistics or the statistical software we will use throughout the course “R” which can be downloaded for free here: http://www.r-project.org/
Successful completion of this course will enable every lady to develop a working knowledge of statistics, import to and export data from R, write programs and functions in R, conduct statistical analysis and graph data in R, and master specific queries using R.
What to Bring
1. Your laptop computer with MS Excel, MS Powerpoint and R installed, if possible. If you are struggling, we will walk through how to install it during class.
2. A sandwich or light snack. We will have a break, so bring something for yourself and others to share.
3. Your enthusiasm, problem-solving hat, and teamwork skills.
4. Your willingness to mentor someone and to be mentored by someone else in the course. We will meet regularly in small groups as part of the program.Dr. Susan Wang
Part I: A Brief Introduction to R
Queries in R
Working with R interactively
Part II: Objects and Data Structures
Learning variables and data types in R
Learning vectors and matrices in R
Learning arrays and data frames in R
Learning to use lists in R
Part III: Data Analysis in R
Creating objects in R
Accessing values of an object in R
Reading data from files in R
Working with data in R
Writing data to files in R
Part IV: Plots in R
Creating plots in R
Adding additional data to existing plots in R
Graphing parameters in R
Saving plots from R to a pdf file
Part V: Programming in R
Part VI: Statistical Analysis in R
Analyzing probability distributions in R
Fitting statistical models using R
Extracting results from model objects in R