Multiple Imputation in SAS 9.4 Tuesday, January 31 from 9 a.m. to 12 noon in the Visualization Portal, Math Sciences 5628
sign up here. The workshop notes are here.
Description: The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used.
In particular, the se workshop will focus on the one of the most commonly used modern methods, multiple imputation. The workshop will cover multiple imputation using the
multivariate normal and imputation by chained equations as well as imputation diagnostics.
Applied Survey Data Analysis with Stata Tuesday, February 7 from 9 a.m. to 12 noon in the Visualization Portal, Math Sciences 5628 sign up
here. The workshop notes are here.
Description: This workshop will show how descriptive analyses, both numerical and graphical, can be done with continuous and categorical variables.
Subpopulation analysis will be discussed, and then examples of OLS regression and logistic regression will be considered.
Introduction to Regression with SPSS Tuesday, February 14 from 9 a.m. to 12 noon in the Visualization Portal, Math Sciences 5628 sign up
here. The workshop notes are here.
Description: This workshop will introduce some fundamental topics in regression analysis using SPSS in three parts. The first part will begin with a brief overview of the SPSS environment,
as well simple data exploration techniques to ensure accurate analysis using simple and multiple regression. The second part will introduce regression diagnostics such as checking for
normality of residuals, unusual and influential data, homoscedasticity and multicollinearity. The third part of this workshop will introduce categorical variables. Special attention
will be given to interpreting a two-way categorical interaction with dummy variables and multiple-category predictors.
Introduction to R Tuesday, February 28 from 9 a.m. to 12 noon in in the Visualization Portal, Math Sciences 5628
sign up here.
The workshop notes are here.
Description: R is a powerful statistical package that runs on many platforms, including Windows, Macintosh and Unix. This class is designed
for people who are just getting started using R. The students in the class will have a hands-on experience using R for statistics, graphics, and data management.
The R class notes do not contain any of the computer output. The class notes are not meant to be an R textbook or a reference manual. However, it is possible for
individuals to use the class notes to help in learning R even if they don't enroll in the workshop.
Introduction to ggplot2 Tuesday, March 7 from 9 a.m. to 12 noon in the Visualization Portal, Math Sciences 5628
sign up here. The workshop notes are here.
Description: This workshop introduces how to use the R ggplot2 package, particularly for data analysis accompanying a planned regression model. First, the underlying grammar (system)
of graphics is introduced with demonstrations. Then the usage of ggplot2 for exploratory graphs, model diagnostics, and presentation of model results is illustrated through 3 examples.
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