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    Exploring USGS streamflow data with dataRetrieval and Swirl
    This Swirl lesson walks through how to retrieve, view, and visually analyze streamflow and water quality data from the National Water Information System (US Geological Survey).

    Keywords: tool:swirl

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    Population Ecology in Swirl: Estimating Population Sizes
    The students will learn to estimate population sizes and consider assumptions of mathematical models and their applicability to the ecology of an organism/population

    Keywords: RSwirl

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    Conducting Analysis of Variance (ANOVA) in R with swirl
    This lesson offers an introduction to ANOVA, including 1) how this statistical test can be differentiated from others and 2) a step-by-step guide to conducting and interpreting ANOVA results in R,...

    Keywords: biostatisticsR programming languageSwirl

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    Earth Analytics in R Course
    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth scienceR programming languageremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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    Investigating human impacts on stream ecology: Intro to R
    This resource uses the Human Impact on Stream Ecology data set, background and questions and provides students an very general introduction to using R. Students perform basic summary statistics and...

    Keywords: graphingdata visualizationR programming languagedescriptive statisticsundergraduate environmental science

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    Chapter 9: One-way analysis of variance
    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....

    Keywords: biostatisticsR programming language

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    Chapter 2: Data sampling, accuracy, and precision
    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....

    Keywords: biostatisticsR programming language

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    Checking Normality in R with swirl
    How to use the "three-prong" approach to check for normality

    Keywords: biostatisticsR programming languageSwirl

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    REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network

    Keywords: geneticsstatisticsdata analysisgraphingRStudioVideoexperimental designR programming languagemicrobiomesstudent researchinterdisciplinary educationlimnologyeco-informaticsresearch in the classroomtidyverseWorking with datasetsREMNet

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    434

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    Computational Biology using R
    This is an introductory level course on computational biology.

    Keywords: simulationmoduleRcourseprojectsolutions

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    Cleaning Data with R and the Tidyverse in Swirl
    The overall goal is to help students learn common data cleaning procedures on a dataset once they’ve collected measurements and before they are able to start their analysis. This swirl lesson is...

    Keywords: Rdata analysisdata manipulationRStudioManagement Of DataSwirl

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    Working with plant phenology data and fitting a nonlinear model using least squares in R
    A participatory live-coding lesson on working with NEON phenology data and fitting a sine-wave model to determine when different species get and lose their leaves.

    Keywords: modelingRphenologyNEONRstatscodeparticipatory live-coding

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    1988

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    Introduction to Primate Data Exploration and Linear Modeling with R
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology research students on data management and statistical...

    Keywords: R programming languageprimatespopulation ecology

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    236

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    Chapter 11: Correlation and regression analyses
    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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    An introduction to population matrix models: a swirl lesson
    Students will learn how to set up a population matrix model in R and use it for demographic analysis of a population, including projecting population growth, determining lambda and the stable age...

    Keywords: population dynamicsRpopulation growthonlinedemographypopulation projection modelquantitative biologypopulation modelmatrix modelspopulation ecologyage structurepopulation biologypopulation modelingSwirlDemographic processespopulationLeslie matrix

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    DataCamp
    DataCamp: The Easiest Way to Learn Data Science Online

    Keywords: statisticsRcurriculumdata visualizationdata scienceonline learningcoursemachine learningpythonlab protocol

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    Home sweet home for warblers: Graphing and Analysis using R
    This resource expands on the Data Nugget "Trees and bushes, Home Sweet Home for Warblers". The analyses and graphing is done in R and there are questions that ask about the management implications.

    Keywords: graphingCommunity Ecologydata interpretationR software

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    Setting Up Nonparametric Tests
    This swirl lesson will show you how to rearrange your data within R from one that shows a multiple factor design (2 x 2) to a single factor (4 levels) to allow for data analyses that require...
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    Interpreting one-factor ANOVA in R with swirl
    Interpreting One-Factor Analysis of Variance (ANOVA)

    Keywords: biostatisticsR programming languageSwirl

    1308

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    363

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    Genome Sequence Data in R using Biostrings (Swirl Lesson)
    By the end of this lesson, students should be able to load FASTA files into R as DNAStringSets and use width() and alphabetFrequency(), combined with other functions like sum() and mean(), to...

    Keywords: R programming languagecourse-based undergraduate research experienceBioinformatics and GenomicsCURECUREscourse-based research experiences (CUREs)STEM CUREsComparative genomicsBioconductor

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