Complete Summary for Statistical Learning in Marketing for MADS (All Lectures + Step-by-Step R Code Guide for Team Assignment 1)
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Module
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.
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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
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