R programming for beginners – This video is an introduction to R programming in which I provide a tutorial on some statistical analysis (specifically using the t-test and linear regression). I also demonstrate how to use dplyr and ggplot to do data manipulation and data visualisation. Its R programming for beginners really and is filled with graphics, quantitative analysis and some explanations as to how statistics work. If you’re a statistician, into data science or perhaps someone learning bio-stats and thinking about learning to use R for quantitative analysis, then you’ll find this video useful. Importantly, R is free. If you learn R programming you’ll have it for life.

This video was sponsored by the University of Edinburgh. Find out more about their programmes at http://edin.ac/2pTfis2

This channel focusses on global health and public health – so please consider subscribing if you’re someone wanting to make the world a better place – I’d love to you join this community. I have videos on epidemiology, study design, ethics and many more.

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Hi Greg! Thanks for your videos! I rarely (if ever) comment on videos but I’m just really grateful for the work you’re doing here – I’m taking a major in data analytics with a minor in public health, and your videos give me a much needed glimpse into what I might be doing in the future!

Thank you for the great video but i am failing to read the “gapminder”dataset in my Rstudio version 3.3.2. looks like “gapminder” is built under version 3.3.3. So what can i do without needing to install the version 3.3.3? Thank you for helping

Thank you for sharing this!

Awesome video,Keep it up!

Hear, hear, another great one Dr. Martin…!

Very good demo of what R is capable of !

I downloaded R 3.4.2 and R studio, but I cannot download the gapminder data. It displays a warning message with data set ‘gapminder’ not found.

Great video! Thank you so much for this! I’ll share it with colleagues who are intimidated by R but want to learn 🙂

For a simple analysis like your examples, what are the advantages of R over Excel or MATLAB? I’ve done statistical analysis using the latter two programs and I have a feeling that R is better than Excel by having more pre-programmed functions and graphs specifically for statistical analysis, and R is better than MATLAB due to it be simpler to use and easier to understand than MATLAB.

When doing the code gapminder %>%

select(country, lifeExp)

i get error could not find function “%>%”. Does anyone know how to fix this or stuck with the same issue?

This is really useful. Thank you, OP 😀

Great intro!

Any exam i can do to get a certification on basic R?

This video reinforced the materials I have learned in my program, but I will definitely explore R more. It is a great statistical skill to have.

What’s the best to learn for the Health Promotion/Behavioral Science field? SPSS, SAS, or R? Everyone at my school has this debate going on, no one can seem to agree.

Great video, at first I thought this was a channel for data science tutorials only. You did a great job summarizing R programming and it would be great to see you going deeper on ggplot2 and regular R programming by separate.

One of the best R tutorials that I ever seen, thank you vary much, I wich that you will bring more.

Dear Greg Martin,R Programming introduced by you is highly appreciable.I have sent to all my beginners.Thanks,Dr.Gyanaranjan Padhy

the statistical part is a bit unprecise and incorrec in a general contextt!!!

You just developed my interest in R. Thank you for presenting it in such an interesting way. It was amazing!

Hi Greg. Loving your videos. I’m an epidemiologist in Brazil. My major is Bachelor in Collective Health.

I woul like to suggest if you could do a video about gleamviz and how to understand and create epidemiology models for diseases control.

Thank you 🙂

Why only one video on R??? Also, I need to put on presentation where I state a hypothesis and then either accept or reject. Any suggestions

You are an amazing teacher

Great video, I would love for you to do another one on R. We all have so much data and need to think of ways we can visualize it in a meaningful way.

Very informative!! I am just a beginner to this analysis tool. Looking forward to many other videos in R programming 🙂

Dr Martin does it again. Thank you University of Edinburgh for making it possible. For my graduate students – this is Wonderful to introduce R programming. Important skill development for research data studies. Thanks, Greg.