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 * Statistical Analysis of Agricultural Experiments using R
 * 
 * 
 * Preface
   * What is this text?
   * Cite this text
 * 1 Introduction
   * 1.1 How to get help?
     * 1.1.1 Help files
     * 1.1.2 Online help
   * 1.2 Downloading and Installing R
     * 1.2.1 R packages - CRAN
     * 1.2.2 RStudio
   * 1.3 Conventions
   * 1.4 Basics of using R
   * 1.5 Loading Data from External Sources
 * 2 Descriptive Statistics
   * 2.1 Calculating group means
   * 2.2 Calculating other group statistics with tapply
   * 2.3 Using dplyr to summarize data
 * 3 Simple Correlation
 * 4 Student’s t-test
   * 4.1 One-sample t-test
   * 4.2 Two-sample t-Test
   * 4.3 Paired t-Test
 * 5 Analysis of Variance (ANOVA)
   * 5.1 One-Way Analysis of Variance
     * 5.1.1 Checking ANOVA assumptions
     * 5.1.2 Mean Separation - agricolae package
     * 5.1.3 Mean Separation - multcomp package
   * 5.2 Multi-Factor ANOVA
     * 5.2.1 Mean Separation
 * 6 Linear Regression
   * 6.1 Simple Linear Regression
     * 6.1.1 Model Diagnostics
     * 6.1.2 Model Interpretation
 * 7 Analysis of Covariance (ANCOVA)
   * 7.1 Example 1: Mechanical Weed Control
   * 7.2 Example 2: Duration of competition
 * 8 Mixed Models - ANOVA
   * 8.1 Mixed Effects Model using the lme4 Package
     * 8.1.1 Model Comparison and Obtaining P-values
     * 8.1.2 Random Effects
     * 8.1.3 Fixed Effects & Mean Separation
 * 9 Mixed Models - Regression
   * 9.1 Regression Models with Mixed Effects
     * 9.1.1 Example 1: Sugarbeet yield
     * 9.1.2 Example 2: Fungicide toxicity
 * 10 Logistic Regression (Binary Response)
   * 10.1 Generalized Linear Model
 * 11 Dose-Response curves
   * 11.1 One Dose-Response Curve
   * 11.2 Note on use of R2R2
   * 11.3 Which Dose-Response Model?
   * 11.4 More Dose-Response Curves
   * 11.5 When Upper and Lower Limits are not similar
   * 11.6 Remedy for heterogeneous variance
   * 11.7 Dose-responses with binomial data
     * 11.7.1 Example 1: Herbicide susceptibility
     * 11.7.2 Example 2: Earthworm toxicity
 * 12 Nonlinear Regression - Selectivity of Herbicides
   * 12.1 Dose-Response Curves
   * 12.2 Assessment of Selectivity
   * 12.3 Selectivity index
   * 12.4 Vertical and Horizontal Assessment
     * 12.4.1 Vertical assessment
     * 12.4.2 Horizontal assessment
 * 13 Plant Competition Experiments
   * 13.1 Yield, Density and Yield Loss
   * 13.2 Replacement Series
 * 14 Seed Germination
   * 14.1 Example 1: Chickweed
   * 14.2 Example 2: Bromus tectorum
 * 15 Visualization
   * 15.1 Base R Graphics
     * 15.1.1 Scatterplots
     * 15.1.2 Box and Whisker Plots
     * 15.1.3 More than Two Variables
   * 15.2 ggplot2
 * 
 * Published with bookdown

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STATISTICAL ANALYSIS OF AGRICULTURAL EXPERIMENTS USING R


STATISTICAL ANALYSIS OF AGRICULTURAL EXPERIMENTS USING R

Andrew Kniss & Jens Streibig

Last Updated on 2019-10-26

> Kniss AR, Streibig JC (2018) Statistical Analysis of Agricultural Experiments
> using R. https://Rstats4ag.org. Accessed



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