One-Way ANOVA R-tutorial 1 - Analysis of Variance
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- Опубликовано: 21 авг 2024
- R code: statdoe.com/on...
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()
www.statdoe.com
Professora Rosane, show de bola esses seus vídeos sobre o uso do R. Também sou um entusiasta desse software.
Obrigada Antonio. Faço parte da turma que acredita em amplo acesso ao conhecimento e ferramentas :)
Rosane Your video is a lovely one and go ahead please on soil fertility status and different fertilizer rate like phosphorus and potassium etc.
Great Video! Thanks! One question. What about normality and homocedasticity test? you are supposed to test those two on the variables or on the residuals values of ANOVA model?
I am assuming normality and constant variance on the results. But it is always good idea to check these assumptions.
Buen dia maestra!! :) :) ... Saludos cordiales desde Ayacucho-Perù. Le escribo maravillado por su explicación (aunque un poco dificultoso por el idioma) pero sabroso. Soy un pipiolo en este campo y me gustaría saber todo lo relacionado a la regresión múltiple (bioestadistico). Si no lo tuviera, ¿Es posible me recomiende algun video?. Gracias
Great video. Hi Rosane, I have a question. my data has one variable to be compared to a factor. How to I visualize it. I tried your method but I still have errors