Great R: Level 1
Publisher: O'Reilly Media
Final Release Date: August 2010
Run time: 2 hours 9 minutes

Great R: Level 1 will teach you the fundamentals of R, from the basics of using the software as a calculator through creating your own data objects and visualizing them. By the time you're through these lessons, you'll be able to load your own data into R and evaluate it using R's native functions.

Throughout the course, you'll progressively learn to analyze data using R's fundamental data structures: vectors, data frames, arrays, lists, and factors. You'll also learn to write your own functions and plot your data using R's powerful graphics utilities. Finally, you'll try out some mind-blowing visualizations from the famous lattice package.

When you buy Great R: Level 1, you get access to an entire video library of lessons-including lessons that aren't available yet! Here's the scoop: we're continually adding new sections in Level 1 that take you further into R. We're also updating existing lessons and creating new ones in response to your questions, along with special "challenge lessons" that will test your skills. All of this is yours with Great R: Level 1.

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O'Reilly MediaGreat R: Level 1
 
3.5

(based on 2 reviews)

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(7 of 7 customers found this review helpful)

 
4.0

Great R: Level 1 Sets a High Standard

By Shawn Day

from Dublin, Ireland

About Me Educator

Verified Reviewer

Pros

  • Accurate
  • Concise
  • Easy to understand
  • Thorough
  • Well Paced

Cons

    Best Uses

    • Novice

    Comments about O'Reilly Media Great R: Level 1:

    Great R:Level 1 by Michael Milton is a 2 hr video course which leads you from the basics of installing the R environment on your system to conducting basic analysis and presentation of your data. The course itself is delivered in a clear, concise manner and the author is very thorough in his approach. The pacing is very good and as a student you are kept engaged and don't tend to fall behind, nor feel that you wish that things could hurry along. This video course is a superb complement to written tutorials and reference manuals on the R environment.

    The video and voice quality are great and the small tutorial chunks make it very easy to stop and come back. Additionally, the summaries at that start of each chunk build into this and immediately let you pick up where you let off. During the course, small pop-up summaries appear at critical points summarising a concept or providing a clear description of the command being executed. This greatly enables the play along tutorial nature of the course.

    The course is aimed at a student interested in discovering the power of R and demands no prior experience with R, statistics or a programming language. This does not mean that the assumption is that the user is absolutely naive and it is clear that some knowledge at different points is of advantage and plays well into the challenges set by the instructor.

    I particularly like the teaching style of the author. He asks questions of you, the student, and sets up a series of periodic challenges to ensure that you are engaged and involved in the process…the best attempt to create an an active learning environment as if the tutor was there sitting with you.

    The overall scope of the module is appropriate. You are introduced to the environment and carry out a series of tasks that build on your familiarity with R. Milton takes you through a number of real world exercise from start to finish. The file cycle allows for a thorough and grounded understanding.

    One of the only small quibbles that I would note is the reliance on the external data source for the initial exercise. Although I was able to get the data from the UNData website, something was amiss with the CSV format and my screen then didn't match that of the tutorial. In fact what had happened was the data provider added an additional column consequently R seemed to have a little trouble with empty values in that column. This was solved with a quick tinker, but points to a long term issue. I do like that the author decided to use real world data and to highlight the usefulness of R for working with public datasets, so am loathe to be over critical, but the challenge remains.

    Much additional knowledge is conveyed both between discussion of types of arrays, and also the noting of smaller tips that the author has found that make working with the R environment more efficient.

    I was very impressed with this course and would recommend it for anyone interested in delving into the world of R. In comparison to R in a Nutshell which I had previously reviewed, this course would make a very fine introduction and lead to picking up the further volume to expand on one's knowledge of R. I would feel a lot more comfortable approaching the book after having gone through this video tutorial. All I can say now is bring on Great R: Level 2!

    (5 of 5 customers found this review helpful)

     
    3.0

    Great start - looking forward to more

    By JohnG

    from Portland, OR

    About Me Developer

    Verified Reviewer

    Pros

    • Accurate
    • Helpful examples

    Cons

    • Difficult to understand

    Best Uses

    • Novice
    • Student

    Comments about O'Reilly Media Great R: Level 1:

    I was excited to watch these videos as I had been curious about R for some time. I don't have a statistical background which I feel put me at a disadvantage for some of the course.

    There are multiple chapters to each video, but no way I could find to navigate them. If I wanted to go back to the beginning of a challenge, I would not have an easy way to do that.

    I was able to get the videos to work on my iPhone although I needed to use GoodReader.

    Michael is clearly very knowledgeable and easy to listen to. I would like to see more videos in this series. Specifically I am interested in knowing if there's a way to "join" data frames.

    The pace was good. My only issue was with statistical concepts. Perhaps there could be a video on that. I would recommend this video series if you are getting started and are a visual learner. Gave me the confidence to try R. With the promise of more videos, this could be a great series.

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