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    BIO103R: Bio 103 and 104 Labs in R at URI
    GitHub repository for Bio 103 and 104 Labs in R at University of Rhode Island

    Keywords: R

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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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    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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    REMNet Tutorial, R Part 4: Creating Taxa Plots in R 5.2.19
    Video on making taxa bar plots in R from the Research Experiences in Microbiomes Network
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    REMNet Tutorial, R Part 1: Getting Started in R with Microbiome Data 5.3.19
    Video on the basics of R software from the Research Experiences in Microbiomes Network
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    Are you teaching biostatistics with R? Suggestions to help you as work with your students.
    Teaching students how to code and analyze data in R is important for the fields of biology and ecology. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource...
    838

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    An Introduction to the R Programming Environment
    An online module introducing students and biologists to R, published in American Phytopathological Society
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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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    Module M.7 Generalized linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    A Quick Guide to Teaching R Programming to Computational Biology Students
    An introduction from an experienced educator in teaching R to computational biology graduate students.
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    Chapter 3: Visualizing data
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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    REMNet Tutorial, R Part 2: Importing Your Microbiome Data into R 5.3.19
    Video on importing data into R from the Research Experiences in Microbiomes Network
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    Exploring the population dynamics of wintering bald eagles through long-term data using R
    The purpose of this modification was to take the analyses that were done in Excel and have the students perform them using R. Students were not given any R code for this activity, as R code was...
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    2010-Soetaert-EtAl-Solving Differential Equations in Rd SIMIODE Draft (5)
    Here we give a brief overview of differential equations that can now be solved by R.

    Keywords: solving

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    Are you learning R? Suggestions to help you as you learn.
    Learning how to code and analyze data in R is an important skill. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource to encourage individuals who are...

    Keywords: R code

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    R Subsetting Tutorial
    The students will practice manipulating data to add to or extract subsets of specific values, rows, columns, or subsets of data contained in existing data files.
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    Downloading and Visualizing Project Data from the iNaturalist Database
    In this activity you will learn how to create a query, export, and download data from iNaturalist; load data into R; explore pollinator-plant interactions with R, and create heat map, bipartite,...
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    Module M.1 R basics for data exploration and management
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Importing Data into R
    This short swirl lesson on importing data is designed to 1) get a basic understanding in how tables are read into R and some common issues and 2) develop an individual set of instructions for...
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    Teaching R with Swirl
    Session presentation on using Swirl, an interactive platform for learning and teaching R in the R console
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