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Models for Polytomous Responses
Covers examples from Chapter 8 of Discrete Data Analysis for R. Proportional Odds and Generalized logic model showing how responses with 2 or more classes are modeled and graphically explained using a number of R packages.
Principal Component Analysis in R
PCA to reduce dimensionality on the US crime dataset
Binomial Distributions
Homework 2 - ANLY 545
Partially Confounded Designs
Analyzing a partially confounded design over two replications with two blocks each
Interactive Visualizations in R
Covers some simple interactive visualizations in R using plotly, ggplot, rbokeh
Dashboarding in R using Flexdashboard
Analyzing expenses for 2017
Clustering Techniques
Hierarchical and K-means clustering
Visualizations for EDA in R
Exploratory Data Analysis in R using Visualizations
Quantitative and Qualitative EDA
Quantitative and Qualitative EDA
Exploring the Grammar of Graphics
The objectives of this problem set is to gain experience working with the ggplot2 package for data visualization. To do this I have provided a series of graphics, all created using the ggplot2 package. Your objective for this assignment will be write the code necessary to exactly recreate the provided graphics.
When completed submit a link to your file on rpubs.com. Be sure to include echo = TRUE for each graphic so that I can see the visualization and the code required to create it.
Visualization Basics in R
R vs Hand drawn graphs