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hsmalley

HK Smalley

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STAT441: Inference for Slope
STAT441: Useful Distributions
STAT441: Random Variables
STAT441: Linear Models in R
STAT441: Intro Linear Models
STAT441: Intro R and Stats
DATA429: Comparative Visualizations
DATA 151: Time and Space (SP 25)
DATA429: Analyzing Survey Data
SurveyTopics: Stratified Estimators
Tables and Bars: Happy Little Trees
SurveyTopics: SRS Estimators
SurveyTopics: Random Sets and Estimators
SurveyTopics: Intro to Probability Sampling
DATA429/599: Intro to PUMS and PUMAS
(DATA151) Penguins
DATA502: Interactive Map Activity
DATA502: Tidy Census Demo
DATA151: Take a Hike!
DATA151: Categorical Data (Tables and Bars)
DATA151: Tidyr and Joins (Updated 24)
DATA 151: Dplyr with Baseball
DATA502: Bars SOLUTIONS
DATA151: Guinea Pigs
FiveThirtyEight: Voter Registration
DATA151: Gotta Catch Em All
DataViz: Polish Solutions (2023)
DataViz: Scales Directions (2023)
DataViz: Scales Solutions
DATA151: Tidyr and Joins (Fall 2023)
DataViz: Alternative to Pie Charts
(UPDATED) DataViz: Basics
DATA252:Hierarchical Clustering
DATA252: K-Means
DATA252:PCA
DATA252: Basic Text
DATA252: Simple Neural Net
DATA252: Classification and Image Analysis (Part 1)
DATA252: Classification Trees and More
PNW MAA: Intro R
DATA252: Logistic
DATA252:KNN
DATA252: Regression Trees
DATA252: Variable Selection and Regularization
DATA252: Beyond Linearity
DATA252: Multiple Linear Regression
Processing Data in Tidyverse
Linear Model Optimization
DATA252: Model Fitting
DATA151: Introduction to Regression Models
DATA151: Regression (Take a Hike)
DATA151: Candy Tables
TDF Solutions
DataViz: Projections
DATA151: Time and Space
DATA151: Comparing Distributions
DataViz: HCL
AQI: Numeric Summaries and Graphics
Recreate: Voter Registration
Tables and Bars
DATA151: Tables and Bars
Diamond Drill Solutions
DATA151: Tidyr and Joins
DATA151: Tidyr and Joins
DataViz: Sample Solutions
DATA151: dplyr Verbs
DataViz: Bars
DataViz: Geometries
DATA151: Basics of Programming
Introduction to Working with Data in R
Example for Working with PUMS
PUMPS Raw Download
ACS Graphics Example
ACS Analysis Example
MATH266: Coverage
SP22: Logistic Regression Spam Filter
MATH266: Discrete Simulations
MATH266: Law of Total Variability
(Rmd Template) Review of Simple Linear Regression in R
(Rmd Template) Introduction to ggplot2: Part 2 (Bars)
(Rmd Template) Introduction to ggplot2: Part 1 (Points)
MATH266: Birthday Problem
MATH266: Random Experiments
Fall 2021 Data Challenge: WU Team
DataViz: US Map Demo
FC2021: Food Insecurity
Regression Partner Lab: Climate Change
Intro Statistics: R Glossary
DataViz: Intro to ggplot2 (points)
MATH 138: Tables, Distributions, and Bar Charts
LMT: Variable Selection
Tree Algorithms in R (Updated rpart)
LMT: Class Exercises for W11 and W12
LMT: Matrices and MLR
SLR Quakes
LMT: CheatSheet
Confidence vs Prediction Activity
Skills Solutions
DataViz: Ensemble Graphics
DV Mid2:Thanksgiving SOLUTION
MATH138: Cereal MLR
DataViz: Thanksgiving
FA20:MATH138 T-Tests
Fall 2020 Data Challenge: WU Team
DataViz: Interactive Demos (Part2)
DataViz: Interactive Demos
DataViz: Dynamic Visualization with Gapminder
FA2020_DV:Mid1 SOLUTION
DataViz: Map Building Demo
FallChallenge2020: Voter Turn-out
MATH 138: Confidence Intervals
DataViz: Polishing Demo
DataViz: Scales Lab (SOLUTIONS)
DataViz: Scales Lab (Directions)
Regression Examples
MATH 138: Scatterplots, Correlation, and SLR
Language Explorer Demo Examples
More ggplot2 Tips and Tricks
DataViz Class 3 Example
DataViz: Intro to ggplot2
MATH 138: SLR
DataViz: Choosing an appropriate visualization tool
Lab 2: Dplyr SOLUTIONS
MATH138: Introduction to R and Tables
KNN Exercises
Advanced Logistic Models
MATH266: CLT
Model Selection
Critical Thinking: MLR Model Extensions
SP20: MATH 239 - MLR Geometry
SP20: MATH 239 - Categorical Explanatory Variables
7A: Adding Curvature
MATH239-quakes
Data Wrangling
Class 13B: P2 - Regularization and Dim Reduc
Class 13B - Variable Selection Review
Class 13A: Bagging/Random Forests/Boosting
Class 12B: Trees
Class 12A: GAM
Class 12A - Non-linear Models
Class 11B - Repeated Measures and Time Series
ONC Regression
One Night Count
Class 9B - Logistic Regression
Class 8B - Cross Validation
Class 7B - Extending the Linear Model
Class 7A - Intro to Model Selection
MATH239-6A
Class 5B: Simple Linear Regression