Last year, I presented an informal course on the basics of R Graphics University of Turku. In this blog post, I am providing some of the slides and the full code from that practical, which shows how to build different plot types using the basic (i.e. pre-installed) graphics in R

Website Supplementary Files

These notes are an introduction to using the statistical software package R for an introductory statistics course. They are meant to accompany an introductory statistics book such as Kitchens “Exploring Statistics”. The goals are not to show all the features of R, or to replace a standard textbook, but rather to be used with a textbook to illustrate the features of R that can be learned in a one-semester, introductory statistics course.

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READ ME FIRST:  This collection provides additional resources to support classes teaching from The Analysis of Biological Data by Michael Whitlock and Dolph Schluter, broken down by chapter.  Each chapter post has at least three buttons:  Datasets, which links to the datasets for that chapter; R Code, which links to the R code for that chapter; and R Pubs, which links to a different version of the R code page that contains additional code output and results.

Website

Datasets  R Code  R Pubs

Summary table of plots (by Kyla Jackson)

A free online tutorial for learning basic R commands.  It runs through your browser and does not require you to install R.

R code examples for a number of common data analysis tasks

by Sharon Machlis
edited by Johanna Ambrosio

Computerworld

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A few years back, a famous psychologist published a series of studies that found people could predict the future — not all the time, but more often than if they were guessing by chance alone.

The paper left psychologists with two options.

"Either we have to conclude that ESP is true," says Brian Nosek, a psychologist at the University of Virginia, "or we have to change our beliefs about the right ways to do science."

Nosek is going with Option B — and not just for psychology experiments. He thinks there's something wrong with the way we're doing science. And he launched a massive project to try to fix it.

Podcast  Paper  OSC

Gravitational signature hints at massive object that orbits the Sun every 20,000 years.

Alexandra Witze

News  Article  /r/science

Medical science is being undermined because researchers are changing the things they’re measuring after looking at the data, a campaign group has warned.

Tom Chivers

Article  COMPare

This is a great source for basic R functionality like importing and manipulating data.  It also has very helpful information on making graphs (see this page).  

Just getting started as an R user?  You can first try running R on QUBES Hub here, without installing anything.  Eventually, though you will want to install it on your own computer by downloading it here.  RStudio provides a friendlier interface for using R, and can be downloaded here.  Rstudio requires R to be installed, so start by downloading R.

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By Nicolás E. Campione

Modified from: P. Dalgaard (2002). Introductory Statistics with R. Springer, New York. 

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From Susan

Here is the link to the report I referenced: http://www.uscrossier.org/pullias/wp-content/uploads/2016/01/nsf-monograph-1.12.15FINAL.pdf

Also, here are some of the Kezar pubs that are in press where people might find more information (besides the report above): 

• Kezar, A. & Gehrke, S. (in press).  Lasting STEM reform: Sustaining non-organizationally located communities of practice focused on STEM reform.  Journal of higher education.
• Kezar, A. Gehrke, S., &  Bernstein, S.  (in press).  Designing for success in STEM communities of practice:  Philosophy and personal interactions.  Review of higher education.  
• Gehrke, S. & Kezar, A. (in press).  The benefits of STEM reform through communities of transformation. Change.