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Applied Statistics with R

Applied Statistics with R

Syllabus
Schedule
Content
Examples
Exercises
Assignments
Resources

Overview

Exercises

R Basics

1. R Syntax, Vectors, missing data
2. Import, inspect, and clean data
3. Handling dates and times

1. Visualise data
2. Manipulate data
3. Reshape data

Inference

1. Confidence intervals
2. Hypothesis Testing
3. Thought Questions

Modelling

1. Exploratory Data Analysis for Modelling
2. Model Fitting
3. Model Diagnostics

Import, inspect, and clean data

Inspecting and Cleaning Data

Inspecting and Cleaning Data

Inspecting data using skimr::skim()

Last updated on August 14, 2020

AM01: Applied Statistics with R (Autumn 2022)
London Business School

Kostis Christodoulou
kchristodoulou@london.edu

all days all times
Sussex Place LTs, CLC

All content licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Content 2022 Kostis Christodoulou

This site created with the Academic theme in blogdown and Hugo, with template modifications by Andrew Heiss. Interactive tutorials were developed by Mohannad Shaheen, LBS MAM 2020.

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