Publications by Joey Campbell
coordsys07_demo
1. Turn a stacked bar chart into a pie chart using coord_polar(). A pie chart is a stacked bar chart with the addition of polar coordinates. Take this stacked bar chart with a single category. suppressPackageStartupMessages(library(tidyverse)) package 㤼㸱tidyverse㤼㸲 was built under R version 3.6.3 ggplot(mpg, aes(x = factor(1), fill = drv)...
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posadj06_demo
1. What is the problem with this plot? How could you improve it? suppressPackageStartupMessages(library(tidyverse)) package 㤼㸱tidyverse㤼㸲 was built under R version 3.6.3 ggplot(data = mpg, mapping = aes(x = cty, y = hwy)) + geom_point() There is overplotting because there are multiple observations for each combination of cty and hwy v...
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Rstat_transform05_demo
1. What is the default geom associated with stat_summary()? How could you rewrite the previous plot to use that geom function instead of the stat function? The “previous plot” referred to in the question is the following. suppressPackageStartupMessages(library(tidyverse)) package 㤼㸱tidyverse㤼㸲 was built under R version 3.6.3 ggplot(da...
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Rfacets03_demo
1. What happens if you facet on a continuous variable? Let’s see. ggplot(mpg, aes(x = displ, y = hwy)) + geom_point() + facet_grid(. ~ cty) The continuous variable is converted to a categorical variable, and the plot contains a facet for each distinct value. 2. What do the empty cells in plot with facet_grid(drv ~ cyl) mean? How do they...
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Raesthetics02_demo
1. What’s gone wrong with this code? Why are the points not blue? suppressPackageStartupMessages(library(tidyverse)) package 㤼㸱tidyverse㤼㸲 was built under R version 3.6.3 ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, colour = "blue")) The argument colour = "blue" is included within the mapping argument, and as su...
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Rviz01_demo
Introduction library("tidyverse") ## Warning: package 'tidyverse' was built under R version 3.6.3 ## -- Attaching packages ----------------------------------------- tidyverse 1.3.0 -- ## v ggplot2 3.2.1 v purrr 0.3.3 ## v tibble 2.1.3 v dplyr 0.8.3 ## v tidyr 1.0.0 v stringr 1.4.0 ## v readr 1.3.1 v forcats 0.4.0 ## --...
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Lab 9 Support Vector Machines
We use the e1071 library in R to demonstrate the support vector classifier and the SVM. Another option is the LiblineaR library, which is useful for very large linear problems. Support Vector Classifier The e1071 library contains implementations for a number of statistical learning methods. In particular, the svm() function can be used to fit a ...
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R Assignment 4 Problem 3
Let’s try this again. Load the Gross Domestic Product data for the 190 ranked countries in this data set: https://raw.githubusercontent.com/uky994/STA-4233.-INTRODUCTION-TO-PROGRAMMING-AND-DATA-MANAGEMENT-IN-R/master/GDP.csv Load the educational data from this data set: https://raw.githubusercontent.com/uky994/STA-4233.-INTRODUCTION-TO-PROGRAM...
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Lab 7 Non-linear Modeling
In this lab, we re-analyze the Wage data considered in the examples throughout this chapter, in order to illustrate the fact that many of the complex non-linear fitting procedures discussed can be easily implemented in R. We begin by loading the ISLR library, which contains the data. library(ISLR) Attaching package: 㤼㸱ISLR㤼㸲 The follow...
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Lab 6c PCR and PLS Regression
Principal Components Regression Principal components regression (PCR) can be performed using the pcr() function, which is part of the pls library. We now apply PCR to the Hitters data, in order to predict Salary. Again, ensure that the missing values have been removed from the data, as described in Section 6.5. library(ISLR) Attaching package: �...
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