R Level1

Use R for Data Analytics and Data Mining

Last updated 2022-01-10 | 4.6

- this course will show you how the most common types of graphs can be produced with R base
- you will get a good understanding of functions and loops in R which are very useful programming skills to have
- you will get the necessary theoretical background for R

What you'll learn

this course will show you how the most common types of graphs can be produced with R base

you will get a good understanding of functions and loops in R which are very useful programming skills to have

you will get the necessary theoretical background for R

you will learn how to create and handle different types of objects

you will get fluent in the R programming language to master your specific quantitative tasks

* Requirements

* interest in statistical programming
* R and RStudio ready on your computer
* basic understanding of statistics and data structure

Description

Are you new to R?

Do you want to learn more about statistical programming?

Are you in a quantitative field?

You just started learning R but you struggle with all the free but unorganized material available elsewhere?

Do you want to hack the learning curve and stay ahead of your competition?

If your answer is YES to some of those points - read on!

This Tutorial is the first step - your Level 1 - to R mastery.

All the important aspects of statistical programming ranging from handling different data types to loops and functions, even graphs are covered.

While planing this course I used the Pareto 80/20 principle. I filtered for the most useful items in the R language which will give you a quick and efficient learning experience.

Learning R will help you conduct your projects. On the long run it is an invaluable skill which will enhance your career.

Your journey will start with the theoretical background of object and data types. You will then learn how to handle the most common types of objects in R. Much emphasis is put on loops in R since this is a crucial part of statistical programming. It is also shown how the apply family of functions can be used for looping.

In the graphics section you will learn how to create and tailor your graphs. As an example we will create boxplots, histograms and piecharts. Since the graphs interface is quite the same for all types of graphs, this will give you a solid foundation.

With the R Commander you will also learn about an alternative to RStudio. Especially for classic hypthesis tests the R Coomander GUI can save you some time.

According to the teaching principles of R Tutorials every section is enforced with exercises for a better learning experience. Furthermore you can also check out the r-tutorials R exercise database over at our webpage. In the database you will find more exercises on the topics of this course.

You can download the code pdf of every section to try the presented code on your own.

This tutorial is your first step to benefit from this open source software.

What R you waiting for?

Martin

Who this course is for:

scientists
data analysts
entrepreneurs
web developers
anybody interested in statistical programming

Course content

9 sections • 87 lectures

Introduction - the very Basics of R 17 lectures

R Level 1 Intro Preview 02:57

Download R and RStudio Preview 04:22

RStudio Orientation Preview 18:26

The Structure of the R Ecosystem Preview 14:33

R Help Features Preview 17:49

R Basics Script Preview 03:57

Using the R Functions Preview 11:01

R Exercises Preview 02:39

Three Common Mistakes of R Beginners Preview 11:03

Your first Lines of R Preview 14:38

Using some basic Functions Preview 12:59

Exercise and Solutions - Basic Coding Preview 06:16

R Datasets and Dataframes Preview 09:26

Basic Graphs in R 1 Preview 10:52

Basic Graphs in R 2 Preview 15:41

Exercise and Solutions - Basic Graphs Preview 03:10

Thoughts on Learning R Preview 12:38

Theoretical background 12 lectures

Operators in R Preview 05:23

In this lecture you will learn about basic and logical operators in R.

Operators script Preview 1 page

Object types Preview 10:36

In this video you will learn about the different types of objects in R:

Vectors (1 dimension, 1 data type)

Matrices (2 dimensions, 1 data type)

Arrays (x dimensions, 1 data type)

Data frames (2 dimensions, x data types)

Lists (1 dimension, x data types)

Object types script Preview 2 pages

Data types Preview 05:44

In this video you will learn how to use mode/typof to identify data types in a vector.

Data types script Preview 4 pages

Data Types script

Random number generation Preview 06:00

In this lecture you will learn how to create random numbers in three different distributions:

Normal distribution

Poison distribution

Uniform distribution

Exercise random number generation Preview 01:10

Take a few minutes to go through this exercise and see if you understood the lecture.

Solution random number generation Preview 04:19

Presentation of the solution

Random number generation script Preview 4 pages

Export/Import of Excel files Preview 06:48

In this video you will learn how to import and export csv files from/to R.

CSV (comma seperated values) is the best way to interact with Excel.

Data export/import script Preview 2 pages

Creating objects 14 lectures

Matrices part 1 Preview 06:36

In this video you will learn:

basics about matrices

rows - columns

creating diagonal matrices

extracting a vector out of a matrix

transposing

Matrices part 2 Preview 04:46

In this video you will learn:

getting the inverse of a matrix

matrix multiplication

crossproducts

solving equation systems

summary

Exercise matrices Preview 00:37

You can find the solution skript at the bottom of the matrices skript

Solution matrices Preview 01:18

Presentation of the solution

Matrices script Preview 5 pages

Lists in R Preview 07:10

In this video you will learn about:

definition of a list

how to create a list

naming lists

elements of a list

length of lists

extracting elements out of a list

combining lists

mode of a list

Exercise and solution Lists in R Preview 01:40

Take a few minutes to go through the exercises. At the end of the video you will see the solution.

Lists script Preview 3 pages

Data Frames part 1 Preview 04:58

In this video you will learn:

basics about data frames

structure of data frames

creating data frames

adding vectors to data frames

attach function

handling and extracting subsets of data frames

Data Frames part 2 Preview 05:12

In this video you will learn:

extracting columns, rows and specific values out of a data frame

filtering according to specific criteria and logical operations

summary

Factors Preview 02:28

In this video you will learn how you can use factors to handle character vectors.

Exercise and solution Data Frames Preview 03:44

Take a few minutes to solve this exercises. At the end of this video I will present the solution.

Data frames script Preview 6 pages

Factors script Preview 1 page

Functions in R 6 lectures

Intro to functions in R Preview 03:48

In this video you will get a general idea about functions in R.

You will learn about the syntax.

Open ended functions Preview 02:35

In this video you will learn how you can use ... to create open ended functions.

Ifelse statement and summary Preview 06:47

In this video you will learn about the ifelse statement.

You will also see a summary about the functions section.

Exercise and solution functions Preview 07:12

Try to solve the exercises in this video. At the end of the video you will find the solution.

Functions script Preview 8 pages

Functions Script txt Preview 02:03

Loops 7 lectures

Introduction to loops and If statement Preview 06:27

In this video you will get a general introduction about loops in R. I am also discussing the If statement.

For loop Preview 06:01

In this video you will learn about the For loop

While loop Preview 04:29

In this video you will learn about the While loop

Repeat loop and loop summary Preview 06:11

In this video you will learn about the repeat loop.

You will also see a brief summary about what we learned on loops in R.

Exercise and solution loop part 1 Preview 06:13

Please take the time to solve the exercises I prepared for you in this video. At the end you will also find the solutions to it.

Exercise and solution loop part 2 - hard Preview 03:36

This exercise is a bit harder. Try to calculate the prime numbers by using loops.

Loop script Preview 12 pages

Apply family 8 lectures

Introduction to the apply family Preview 05:19

In this video you will learn:

general introduction to the apply family

apply function

Tapply and the by command Preview 06:45

In this lecture about the apply family of funxtions you will learn:

tapply function

by function

Eapply, sapply, lapply Preview 04:53

In this video you will learn about the following functions of the apply family:

eapply

lapply

sapply

Vapply, replicate, mapply Preview 06:22

In this video you will learn about the following functions of the apply family:

vapply

replicate

mapply

Rapply and summary Preview 08:22

In this video you will learn more about rapply and you will also get a summary of the apply functions.

Apply family exercises Preview 03:35

Take the time to solve this exercises I prepared for you. In the next video I will present the solution.

Apply family solutions Preview 05:35

In this video I am presenting the solutions to the apply exercises

Apply family script Preview 11 pages

Graphs in R 12 lectures

Graphs in R Preview 02:28

In this section you will learn more about graphs in R.

Graphical parameters Preview 04:26

This is a brief introduction to the graphical parameters in R.

Boxplots Preview 07:18

In this video you learn how you can create boxplots:

adding means to your boxplot

adding different colours

boxplot terminology

Exporting graphs Preview 01:18

In this video you will learn about the different ways in which you can export and store your graphs.

Exercise boxplots Preview 01:43

Take your time to solve this boxplot exercise and test your knowledge. In the next video you will find the solution.

Solution boxplots Preview 02:39

Here you can find the solution to the boxplot exercise.

Piecharts Preview 08:24

In this video you will learn how to create pie charts in R:

labelling pie charts

pie charts with data frames

3D pie charts (using plotrix)

Please note that you should download the library "plotrix" for this lesson

Histograms Preview 07:07

In this video you will learn how to create histograms in R:

modifying the bin count

labelling

modifying the axes

frequency vs density

adding curves to histograms

Exercise and solution histograms Preview 02:43

Try to resemble the histogram I present to you in this video. At the end you will find the solution.

Advanced scatterplots and legends Preview 05:46

In this video you will learn how you can put several datasets into one scatterplot.

You will also learn about legends.

Exercise and solution scatterplots Preview 03:45

Take a few minutes to solve this scatterplot exercise. At the end of the video you will find the solution.