Polynomial Regression, R, and ggplot

Polynomial Regression, R, and ggplot, available at Free, has an average rating of 4.6, with 13 lectures, based on 1283 reviews, and has 27289 subscribers.

You will learn about Write functions in R. Graph functions with ggplot. Fit polynomials to data sets. Fit smoothing splines to data sets. This course is ideal for individuals who are This course is for those looking to learn more about R. or This course is for those looking to learn more about ggplot. or This course is for those looking to understand polynomial regression. It is particularly useful for This course is for those looking to learn more about R. or This course is for those looking to learn more about ggplot. or This course is for those looking to understand polynomial regression.

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Summary

Title: Polynomial Regression, R, and ggplot

Price: Free

Average Rating: 4.6

Number of Lectures: 13

Number of Published Lectures: 13

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Write functions in R.

Graph functions with ggplot.

Fit polynomials to data sets.

Fit smoothing splines to data sets.

Who Should Attend

This course is for those looking to learn more about R.

This course is for those looking to learn more about ggplot.

This course is for those looking to understand polynomial regression.

Target Audiences

This course is for those looking to learn more about R.

This course is for those looking to learn more about ggplot.

This course is for those looking to understand polynomial regression.

This course is a sequel to my course R, ggplot, and Simple Linear Regression. Here we take on polynomial regression and learn how to fit polynomials to data sets. Along the way, we will learn how to write our own functions in R and how to graph them with ggplot. At the conclusion of the course, we will learn how to fit a smoothing spline to data sets.

At a relaxed pace, it should take about a week to complete the course. You will need to have R and RStudio installed, and it would be best if you have a background in R and ggplot equivalent to what you would get if you viewed my first course mentioned above.

Course Curriculum

Chapter 1: Functions in R

Lecture 1: Introduction

Lecture 2: A Review of Functions

Lecture 3: Creating Functions in R

Lecture 4: Plotting Functions with ggplot

Lecture 5: Polynomials

Chapter 2: Polynomial Regression

Lecture 1: Reading in Our Data

Lecture 2: Fitting a Line

Lecture 3: Plotting Points along the Least-Squares Line

Lecture 4: Visualizing the Residuals

Lecture 5: Best Fitting Polynomial of Degree 2

Lecture 6: Best Fitting Polynomial of Degree 3

Lecture 7: Smoothing Splines

Lecture 8: Course wrap-up

Instructors

Charles Redmond
Professor at Mercyhurst University

Rating Distribution

1 stars: 2 votes

2 stars: 14 votes

3 stars: 88 votes

4 stars: 442 votes

5 stars: 737 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!