Learn the core fundamentals of the R language for interactive use as well as programming

UPDATE: As of Nov 22, 2018, this course is now free! Many thanks to all my existing students who made it possible for the wider audience to benefit from the course material :-)

With "Introduction to R", you will gain a solid grounding of the fundamentals of the R language!

This course has about 90 videos and 140+ exercise questions, over 10 chapters. To begin with, you will learn to Download and Install R (and R studio) on your computer. Then I show you some basic things in your first R session.

From there, you will review topics in increasing order of difficulty, starting with Data/Object Types and Operations, Importing into R, and Loops and Conditions.

Next, you will be introduced to the use of R in Analytics, where you will learn a little about each object type in R and use that in Data Mining/Analytical Operations.

After that, you will learn the use of R in Statistics, where you will see about using R to evaluate Descriptive Statistics, Probability Distributions, Hypothesis Testing, Linear Modeling, Generalized Linear Models, Non-Linear Regression, and Trees.

Following that, the next topic will be Graphics, where you will learn to create 2-dimensional Univariate and Multi-variate Descriptions. You will also learn about formatting various parts of a Description, covering a range of topics like Description Layout, Region, Points, Lines, Axes, Text, Color and so on.

At that point, the course finishes off with two topics: Exporting out of R, and Creating Functions.

Each chapter is designed to teach you several concepts, and these have been grouped into sub-sections. A sub-section usually has the following:

A Concept Video

An Exercise Sheet

An Exercise Video (with answers)

Why take a course to learn R?

When I look to advancing my R knowledge today, I still face the same sort of situation as when I originally started to use R. Back when I was learning R, my approach was learn by doing. There was a lot of free material out there (and I refer to that early in the course) that gave me a framework, but the wording was highly technical in nature. Even with the R help and the free material, it took me up to a couple of months of experimentation to gain a certain level of proficiency. What I would have liked at that time was a way to learn the fundamentals quicker. I have designed this course with exactly that in mind.

Citación :

rapidgator_net:
https://rapidgator.net/file/d603d803ea7e23e4532fe4c74bd547b4/ze071.Introduction.to.R.part1.rar.html
https://rapidgator.net/file/5678782ea1e301efca38faaf64b5cde9/ze071.Introduction.to.R.part2.rar.html
https://rapidgator.net/file/61b1484844a90700be93c74506742eb2/ze071.Introduction.to.R.part3.rar.html

nitroflare_com:
https://nitroflare.com/view/9A173A031B0E8F9/ze071.Introduction.to.R.part1.rar
https://nitroflare.com/view/50B7D55631E5D9B/ze071.Introduction.to.R.part2.rar
https://nitroflare.com/view/B300126F6D61066/ze071.Introduction.to.R.part3.rar

uploadgig_com:
https://uploadgig.com/file/download/Cc2ff580a0056219/ze071.Introduction.to.R.part1.rar
https://uploadgig.com/file/download/199137Be3a354d91/ze071.Introduction.to.R.part2.rar
https://uploadgig.com/file/download/73ae83efCEd6034c/ze071.Introduction.to.R.part3.rar