Date

Speaker

Topics

Session 1: Introduction to the Basics of R

The first workshop will introduce the basics of R, including reading and writing data files, the R help system, data manipulation, numeric and graphical summaries of data, and documenting your data analysis code and results. 

Download instructions & notes

Session 2: Commonly used Models in R

The second workshop will include commonly used models, such as linear and logistic regression, data frames, writing simple functions, and installation of additional R packages.

Download instructions & notes

Session 3: Getting started using SAS

• Overview of SAS

• Basic concepts of SAS language

• Windows and commands

• Getting raw data into SAS (INFILE and INPUT, IMPORT wizard) with or without missing values

• Combining data sets

• Labeling and formatting

• Subsetting and transposing

• Combining data sets

• SAS arrays

Download notes     Download examples      Download data sets

Session 4: Commonly Used Statistical Procedures in SAS

• PROC MEANS

• PROC FREQ

• Producing tabular reports

• Visualizing your data

• Creating SAS data sets from output

• Examining the distribution of data

• PROC CORR

• T-test and Chi-square test

• Analysis of variance

• Regression and generalized linear model