Statistics 600:

Applied statistics and data analysis I

Syllabus
R overview
Least squares
Decomposing variance
Mis-specified models and confounding
Diagnostics
Model selection
Prediction
Clustered and other dependent data
Generalized linear models

Code:
simple_least_squares.R
multiple_least_squares.R
ls_ci_pi.R
ls_slope_ci.R
ls_slope_pi.R
total_ls.R
partial_R2_1.R
partial_R2_2.R
partial_R2_NHANES.R
slope_correlations.R
measurement_error.R
simex.R
simultaneous-bonferroni-1.R
scheffe1.R
box_cox.R
estimating_s2a.R
estimating_s2b.R
FE_RE.R
nonparametric_regression.R

Problem sets:
Problem set 1 (solutions)
Problem set 2 (solutions)
Problem set 3 (solutions)
Problem set 4 (partial solutions)
Problem set 5 (practice, no solutions)
2007 exam, with solutions
Exam, with solutions
Practice exam questions, with solutions
Capstone project (methodology component)
Capstone project (data component)
2006 problem sets

Data:
NHANES-1
NELS88.dat

R:
Download R here (choose the precompiled binary for your system).