|
Date |
Lecture |
Topic
-- See individual pages for readings |
Exercises & Exams (out) |
due |
|
|
|
|
|
|
|
4-1 (Tu) |
1 |
Intro, data analysis and visualization in R |
1 Getting and using R |
|
|
4-3 (Th) |
2 |
Univariate plots |
2 Univariate plots |
|
|
4-8 (Tu) |
3 |
Bivariate plots |
|
1 |
|
4-10 (Th) |
4 |
Descriptive statistics |
3 Bivariate plots and desc. stats |
|
|
4-15 (Tu) |
5 |
Maps in R examples:
[Part1]
[Part 2]
|
|
2 |
|
4-17 (Th) |
6 |
Multivariate plots examples:
[Part1]
[Part 2] |
4 Multivariate plots |
|
|
4-22 (Tu) |
7 |
Descriptive plots and statistics for spatial data |
|
3 |
|
4-24 (Th) |
8 |
Spatial neighbors and spatial autocorrelation |
5 Spatial plots and stats |
|
|
4-29 (Tu) |
9 |
Reference distributions |
Exam 1 -- due 5-8 |
|
|
5-1 (Th) |
10 |
Statistical inference |
|
4 |
|
5-6 (Tu) |
11 |
Analysis of variance
|
6 CI's, t-tests, ANOVA |
|
|
5-8 (Th) |
12 |
Regression analysis |
|
5 |
|
5-13 (Tu) |
13 |
More regression analysis |
7 Regression analysis |
|
|
5-15 (Th) |
14 |
Nonparametric regression |
|
|
|
5-20 (Tu) |
15 |
GLMs, GAMs, and CARTs |
|
6 |
|
5-22 (Th) |
16 |
Interpolation and contouring |
|
|
|
5-27 (Tu) |
17 |
Principal components analysis and factor analysis |
8 Multivariate analysis |
|
|
5-29 (Th) |
18 |
MANOVA, discriminant
analysis
|
|
7 |
|
6-3 (Tu) |
19 |
Mutivariate distances
and cluster analysis |
Exam 2 -- due 6-11 |
|
|
6-5 (Th) |
20 |
High-resolution and high-dimension data sets |
|
|
|
6-11 (W) |
|
Exam day |
|
8 |