Data Analysis in R

See Video   ⮞  ☝ AGRON Stats Lectures July 23, 2020 Introduction Import data set Get summary statistics Compute standard error Define variable names Upper bounds of error bars Matrix of mean and SE Plot bargraph for interaction term Introduction This tutorial is in continuation of the previous one on strip_plot_analysis If you have not gone through the previous tutorial I would suggest first you should have a look at this. Points of learning: * How to plot interaction bar graph with factor categories * How to show standard error bars on top of the graph bars. Import data set I often recommend to first clear all the objects or values in global environment using rm(list = ls(all = TRUE)) . You can also clear the plots using graphics.off() and clear everything in console using shell() function. rm ( list = ls ( all = TRUE )) graphics.of...

See Video   ⮞  ☝ AGRON Stats June 26, 2018 Description of design Import data file Observe variables Fit analysis of variance model Mean separation test Get error df and error MS values LSD test on main effects LSD test on interaction term Plot variation Plot bargraphs Main effects Interaction effect You will learn how to carry out split plot analysis, mean separation test using LSD.test() function and plotting the main and interaction effects using base graphics functions in R studio. Description of design Split-plot design is frequently used for factorial experiments. Such design may incorporate one or more of the completely randomized, completely randomized block, and Latin square designs. The main principle is that there are whole plots or whole units, to which the levels of one or more factors are applied. Thus each whole plot becom...