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    Data Analysis for the Life Sciences
    An online stats book written completely in R
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    Introduction to R with Biodiversity Data
    Students will learn R basics while downloading biodiversity data from multiple data repositories. This module will walk students through installing R, navigating R,writing reproducible scripts in...
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    Cookbook for R
    The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.
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    Digital Herbarium Lab with RStudio: Are shifting abundances of native species detectable over time?
    This 2- to 3-hour lab activity introduces sophomore-level students to digitized herbarium collections, R-coding, and potential reasons for shifting abundances in native and non-native plant species...
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    Pesticide-Driven Bee Mortality: An Introduction to Survival Analysis in R
    In this lesson, students will receive an introduction to survival analysis in R utilizing data on bee mortality caused by pesticide exposure. In their code, students will assess survivability,...
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    Modeling Changes in Probability of Presence of Myotis lucifugus Due to White Nose Syndrome: An Introduction to Logistic Regression in R
    In this lesson, students will learn more about the wildlife disease known as white nose syndrome and how it affects certain bat species more than others. Students will learn about the important...
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    Coding Club: A Positive Peer-Learning Community
    Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh
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    Ecological Forecasting Repository of Online Educational Resources
    This pdf provides a list of over 100 educational resources related to tools and skills related to ecological forecasting.
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    Data from: Advancing population ecology with integral projection models: a practical guide
    Review important resources for building IPMs and provide a comprehensive guide, with extensive R code, for their construction.
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    Investigating human impacts on Southeastern US stream ecology using R
    Adaptation of the "Investigating human impacts on stream ecology: Scaling up from Local to National with a focus on the Southeast" specifically to focus on self-paced R code instruction
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    An Introduction to Statistical Learning: with Applications in R
    This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.
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    Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods
    This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of...
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    Quantitative Biology at Community Colleges Network Meeting Code of Conduct
    Code of Conduct for the Quantitative Biology at Community Colleges (QBCC) Network Meeting in February 2020
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    Advancing population ecology with integral projection models: a practical guide
    Integral projection models (IPMs) use information on how an individual's state influences its vital rates – survival, growth and reproduction – to make population projections using regression...
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    Passion-Driven Statistics as a Course-Based Undergraduate Research Experience (CURE)
    Session presentation on passion-driven, project-based experience in statistics at the 2018 QUBES/BioQUEST Summer Workshop
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    Climate-Induced Shifts in California Butterflies
    A module in which students generate and test hypotheses about butterfly species’ response to climate change in the Central Valley and Sierra Nevada Mountains of northern California using publicly...
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    R Reference Card
    Summary of reference info for using R

    Keywords: Rreference card

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    R for biologists
    An introductory guide to data analysis in R for life sciences researchers.

    Keywords: R

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    CBEC - Cell Biology Education Consortium (RCN-UBE Introduction)
    The CBEC helps faculty at PUIs move cancer cell culture research into the classroom. The mechanism that provides faculty with the resources they need to do this are modular protocols called Cell...
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    IPMpack: an R package for Integral Projection Models
    IPMpack is an R package (R Development Core Team 2013) that allows users to build and analyse Integral Projection Models.
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