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Introductory Statistics with R

Author: Peter Dalgaard

    "Has been a key member of the R Core Team since August 1997 and is well known among R users for his activity on R"

Published: January 9, 2004 by Springer

Summary: This book provides an elementary-level introduction to R targeting both non-statistician scientists in various fields and students of statistics.    The main mode of presentation is via code examples with liberal commenting of the code and output, from the computational as well as the statistical viewpoint.  Supplementary R package can be downloaded that contains the data sets.

The book includes examples of statistical standard deviations, one- and two- sample tests with continuous data, regression analysis, one- and two- way analysis of variance, regression analysis, analysis of tabular data and sample size calculations.  In the last chapters includes  multiple linear regression analysis, linear models in general, logistic regression, survival analysis, Poisson regression and nonlinear regression.

For preview of the book, click here

To buy book or specific chapters, click here

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Wendy Jo Levenson onto Books About Using R

Getting Started with R: An Introduction for Biologists

Author: Andrew P. Beckerman, Owen L. Petchey

    "Evolutionary Ecologists with over 20 years of combined experience using R for data analysis and visualization"

Published: July 22, 2012 by Oxford University Press

This book provides a fundamental introduction for biologists new to R.  While teaching how to import, explore, graph and analyze data, it keeps readers focussed on their ultimate goals-communicating their data in oral presentations, posters, papers, and reports.  It also provides a consistent workflow for using R that is simple, efficient, reliable, accurate, and reproducible.  The material in the book reproduces the engaging and sometimes humorous nature of the three-day course on which it is based.

For a preview of this book, click here

For purchase through Amazon

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Wendy Jo Levenson onto Books About Using R

Teaching as a Subversive Activity

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Describing and Measuring STEM Teaching Practices

I think you can order print copies of this from AAAS. 

Description here: http://www.aaas.org/news/new-aaas-resources-support-undergraduate-stem-education-reform

Download here: http://ccliconference.org/measuring-teaching-practices/

Much more focused on assessment.

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How People Learn: Brain, Mind, Experience & School

How People Learn is a classic - I don’t think you can go wrong with it. 

Survey of ed psych and cognitive science research.

Full text available online. 

http://www.nap.edu/openbook.php?isbn=0309070368

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Reaching Students: What Research Says About Effective Instruction in Undergraduate Science and Engineering

I haven’t read this one yet but it is hot of the presses and likely to get some attention. I believe that it is an attempt to connect teachers to the Discipline-Based Education Research: Understanding and Improving Learning in Undergraduate Science and Engineering (2012) also NAS.

Full text available online.

http://www.nap.edu/catalog/18687/reaching-students-what-research-says-about-effective-instruction-in-undergraduate

National Research Council. Reaching Students: What Research Says About Effective Instruction in Undergraduate Science and Engineering. Washington, DC: The National Academies Press, 2015.

 

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Rethinking Education in the Age of Technology: The Digital Revolution and Schooling in America

https://llk.media.mit.edu/courses/readings/Collins-Rethinking-Education.pdf

I found this to be a pretty forward looking discussion about the impact of technology on education. The link leads to a summary of the argument that might help you decide if you want to read it all.

 

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F-stastistics

Students calculate F-statistics using data on 73 subpopulations of the outcrossing species Phlox drummondii. They compare their findings to data that I already presented in class on the highly selfing species Phlox cuspidata.

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Alison N Hale onto Quantitative Biology resources

This is a nice tutorial on mixed effect linear models.

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Mini-poster on Lotka-Volterra competition model

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Alison N Hale onto Populus mini-posters

Mini-poster on selection at a diallelic locus model

Created by Bob Sheehy

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Alison N Hale onto Populus mini-posters

Mini-poster on selection at a diallelic locus model

Created by Jeremy Seto

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Alison N Hale onto Populus mini-posters

Mini-poster on inbreeding model

Created by Alison Hale

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Alison N Hale onto Populus mini-posters

Summary of feedback from Google survey

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Exploring the Lotka-Volterra Competition Model using Two Species of Parasitoid Wasps

This lab activity is published by ESA in Teaching Issues and Experiments in Ecology (TIEE).

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Calculating Fitness

Exercise on calculating fitness and selection coefficients.

Created by Bob Sheehy at Radford University

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Population genetics simulation program

Created by Bob Sheehy at Radford University

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Useful power calculator for lots of different statistical tests.

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This is an article in MAA's Innovative Teaching Exchange that describes strategies to get students past thoughtless number crunching, guessing, and intuition when it comes to solving probability problems.  

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From the project website " Workshop Statistics:  Discovery with Data, A Bayesian Approach, Key College Press; ISBN: 1930190123 (coauthored with Allan J. Rossman of Dickinson College) is a collection of classroom and homework activities designed to introduce the student to concepts in data analysis, probability, and statistical inference.  Students work toward learning these concepts through the analysis of genuine data and hands-on probability...

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NetLogo

NetLogo is a multi-agent programmable modeling environment. It is used by tens of thousands of students, teachers and researchers worldwide.

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Drew LaMar onto Other relevant resources

cnn

cnn

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Ilya Shunko onto collection of strange stuff

SIAM Life Science Videos

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Drew LaMar onto General QuantBio