Complete Summary for Statistical Learning in Marketing for MADS (All Lectures + Step-by-Step R Code Guide for Team Assignment 1)
26 views 0 purchase
Course
Statistical Learning in Marketing (EBM214A05)
Institution
Rijksuniversiteit Groningen (RuG)
The best complete summary for Statistical Learning in Marketing for MADS (EBM214A05), it includes: All Lectures and an extensive step-by-step guide for Team Assignment 1. Enhanced with a dynamic table of contents and meticulous organization for readability and easy studying. Note that this course h...
LECTURES, CODE EXAMPLES, TIPS & STEP -BY-STEP ASSIGNMENT 1 GUIDE .
Note: This course has no readings.
Enhanced with a dynamic table of contents.
, MADS MADLAD |2
Note from MADS MADLAD:
Thank you for buying my summary. When I was writing these I sometimes
struggled with this program, but there were no summaries available. This is
why I decided to write something that is truly complete with a lot of effort put
into it.
It helped me and my friends get good grades, but I always had you in mind, the
future reader. When necessary, I always went the extra mile to make my
summaries, more readable, organized and complete.
If you feel like it, leave me a review of how the course is going using this
summary, it will make my day to hear your feedback.
Check out my other extensive summaries for other MADS courses:
Contact info:
If you need help or have an inquiry, contact me: https://www.georgedreemer.com
Connect with me on LinkedIn: https://www.linkedin.com/in/georgedreemer/
Donations:
By no means am I looking for fellow students to send me money! But if you feel like sending
me some ETH or BTC, you can do so here:
--> ETH: 0x123e086c6808459e7fC6Ac7F64a77dBA1dDe0149
--> BTC: bc1qgwzc82vph5v8rmzef4ywechjf85772n7m2e22g
, MADS MADLAD |3
wishes you g ood luck & persev erance.
Grades Testimony:
, MADS MADLAD |4
Table of Contents
Week 1 (Lecture 1)........................................................................................... 10
Lecture 1 – Intro to R + Intermediate R ......................................................... 10
Introduction to R: Variables, Vectors, Matrices, Factors, Data Frames and
Lists............................................................................................................ 10
Variables .............................................................................................. 10
Vectors ................................................................................................. 10
Matrices ............................................................................................... 10
Factors ................................................................................................. 11
Data Frames (DF).................................................................................. 11
Lists ...................................................................................................... 12
Intermediate R: Conditionals, Control flow, Loops, Functions, Apply family,
Utilities. ..................................................................................................... 12
Conditionals and Control Flow ............................................................. 12
- Relational operators ................................................................... 12
- Logical operators ........................................................................ 13
- Conditional Statements .............................................................. 13
Loops.................................................................................................... 14
- While loops ................................................................................ 14
- For loops .................................................................................... 14
Functions.............................................................................................. 15
Apply family ......................................................................................... 16
- Lapply ......................................................................................... 16
- Sapply ......................................................................................... 16
- Vapply ........................................................................................ 17
Utilities ................................................................................................. 17
- Data utilities ............................................................................... 18
- Importing Data in R .................................................................... 19
Week 2 (Lecture 2)........................................................................................... 20
Lecture 2 – Reducing data complexity .......................................................... 20
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller madsmadlad. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $15.99. You're not tied to anything after your purchase.
