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Basic design of experiments in R for one factor and two factors designs. You can find all the code, data and results in the GitHub repository for this post: Basic design of experiments.  There is no signal without noise It never hurts to go back to basics before tackling more complex things. The purpose of this post is to give a brief overview of the basics of design of experiments, their analysis and how to present results using R and packages like ggplot2 and agricolae....

A brief R tutorial about how to perform a data analysis to compare four treatments data. This is achieved by fitting a analysis of variance model, summarizing and making some nice graphs for the data.  1 Problem You want to investigate the effect of light on plant growth. For this you designed an experiment that includes four different light sources. For each source you placed six plants (you replicate each treatment six times) in chambers with a specific light bulb....