TLR Guide
Stat342

Stat 342  Introduction to Statistical Computing and Exploratory Data Analysis  SASAt Simon Fraser University  Burnaby Campus SeptemberDecember (Fall) 2016 SFU Website Syllabus See Wk 11 notes for more details and some overriding information. Usual Office Hours: Monday, Wednesday, Thursday 34pm. In the statistics workshop. Filled Lecture Notes Week 1 , policies, schedule. How to install SAS. Introduction to other references. General introduction to SAS. Week 2 , Data steps and proc steps. The compile phase and the execution phase. Proc print. Proc contents. Input and output. Week 3 , What is SQL. Proc SQL. Select command. from, group by, order by, where clauses. Create table command. Week 4 , SQL inner/left/right/outer merges, concatenations. Making new variables from old ones. Missing values. Scanned Examples Week 5 , Random number generation. Special variables in data steps. Setting labels. Do loops and data step behaviour. Practice midterm questions, Week 6, Midterm , and midterm key Week 7 , Proc IML (SAS/IML) Defining Matrices, computations with matrices, and saving/loading with IML. Week 8 , Continous data: proc means, proc univariate, proc sgplot, proc corr. Week 9 , a brief introduction to ANOVA. Using proc glm for anova. Week 10 , proc glm for simple regression, regression with interactions, polynomial terms, and categorical variables. Proc glmselect for model selection. Week 11 missed due to illness. Week 12 , Proc glm for mixed effects models. Proc logistic for logistic regression, and for ordinal and multinomial regression. Week 13 , Proc kde for Kernel Density Estimation, proc sgplot for loess curves, proc glm for interaction plots, proc logistic for ROC (Receiver Operator Characteristic) curves. Course wrapup. Practice Final Exam and Practice Final Exam practice key Final Exam Lab Notes Week 2 , Loading and Saving. Week 3 , SQL. Week 4 , manipulating datasets with the data step. Week 7 , IML. Week 8 , proc means and proc univariate. Week 9 , proc ttest, anova, npar1way. Week 10 , proc glm, sgplot, freq. Week 11 , proc glm continued. Week 12 , graphing. Readings: Textbook: SAS and R  Data Management, Statistical Analysis, and Graphics. by Ken Kleinman and Nicholas J. Horton. Databases Systems, Ch 7. Basic SQL Additional References:
