R code: https://statdoe.com/one-way-anova-r-t...

In this series of videos, we doing a complete step-by-step analysis of a one-factor experiment using R-Studio.
We are going to do the following steps:
Video 1:
Load the data from a csv file;
Build a simple plot to visualise the data behaviour;
Perform the analysis of variance.
Video 2:
Build a table with the summarised data: the mean, the standard deviation, and the number of observations;
Compare the means by Tukey’s test;
Add superscript letters to indicate significant differences.
Video 3:
Step-by-step tutorial on how to add superscript letters to indicate significant differences in Tukey's test.
Video 4:
Create a publication-grade bar-plot for the final visualization of the results.
You can find the links for the R code and the data files in the description of this video.

Functions used in this video:
str(), plot(), as.factor(), aov(), summary()

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