Resultado da Busca
Learn how to perform Kruskal-Wallis test, a non-parametric alternative to one-way ANOVA, in R software. See how to import, visualize and compare data using box plots, ggpubr and pairwise.wilcox.test functions.
- Two-Way Anova Test in R
Visualize your data. Box plots and line plots can be used to...
- One-Way Anova Test in R
Note that, a non-parametric alternative to one-way ANOVA is...
- Normality Test in R
Normality test. Visual inspection, described in the previous...
- Two-Way Anova Test in R
4 de abr. de 2022 · by Zach Bobbitt April 4, 2022. A Kruskal-Wallis Test is used to determine whether or not there is a statistically significant difference between the medians of three or more independent groups. It is considered to be the non-parametric equivalent of the One-Way ANOVA.
Criado por William Kruskal e W. Allen Wallis, o teste de Kruskal-Wallis é utilizado em situações onde queremos comparar mais de dois grupos independentes, de tamanhos iguais ou não, com variável resposta quantitativa.
kruskal.test performs a nonparametric test of the null that the location parameters of the distribution of x are the same in each group. It takes a numeric vector or list of numeric vectors as x, and a vector or factor of group labels as g, and returns a list with statistic, parameter, p.value and method.
- Coursera - Online Courses and Specialization
- Amazon FBA
- Books - Data Science
Data science
1. Course: Machine Learning: Master the Fundamentalsby Stanford 2. Specialization: Data Scienceby Johns Hopkins University 3. Specialization: Python for Everybodyby University of Michigan 4. Courses: Build Skills for a Top Job in any Industryby Coursera 5. Specialization: Master Machine Learning Fundamentalsby University of Washington 6. Specialization: Statistics with Rby Duke University 7. Specialization: Software Development in Rby Johns Hopkins University 8. Specialization: Genomic Data S...
Popular Courses Launched in 2020
1. Google IT Automation with Pythonby Google 2. AI for Medicineby deeplearning.ai 3. Epidemiology in Public Health Practiceby Johns Hopkins University 4. AWS Fundamentalsby Amazon Web Services
Trending Courses
1. The Science of Well-Beingby Yale University 2. Google IT Support Professionalby Google 3. Python for Everybodyby University of Michigan 4. IBM Data Science Professional Certificateby IBM 5. Business Foundationsby University of Pennsylvania 6. Introduction to Psychologyby Yale University 7. Excel Skills for Businessby Macquarie University 8. Psychological First Aidby Johns Hopkins University 9. Graphic Designby Cal Arts
Amazing Selling Machine
1. Free Training - How to Build a 7-Figure Amazon FBA Business You Can Run 100% From Home and Build Your Dream Life!by ASM
Our Books
1. Practical Guide to Cluster Analysis in Rby A. Kassambara (Datanovia) 2. Practical Guide To Principal Component Methods in Rby A. Kassambara (Datanovia) 3. Machine Learning Essentials: Practical Guide in Rby A. Kassambara (Datanovia) 4. R Graphics Essentials for Great Data Visualizationby A. Kassambara (Datanovia) 5. GGPlot2 Essentials for Great Data Visualization in Rby A. Kassambara (Datanovia) 6. Network Analysis and Visualization in Rby A. Kassambara (Datanovia) 7. Practical Statistics...
Others
1. R for Data Science: Import, Tidy, Transform, Visualize, and Model Databy Hadley Wickham & Garrett Grolemund 2. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systemsby Aurelien Géron 3. Practical Statistics for Data Scientists: 50 Essential Conceptsby Peter Bruce & Andrew Bruce 4. Hands-On Programming with R: Write Your Own Functions And Simulationsby Garrett Grolemund & Hadley Wickham 5. An Introduction to Statistic...
23 de abr. de 2020 · O teste de Kruskal-Wallis é um teste não paramétrico correspondente à ANOVA de uma via. Nesse vídeo, eu explico como realizar esse teste no R e como pedir as estatísticas descritivas...
- 30 min
- 21,4K
- Fernanda Peres
The Kruskal–Wallis test is a rank-based test that is similar to the Mann–Whitney U test, but can be applied to one-way data with more than two groups. Without further assumptions about the distribution of the data, the Kruskal–Wallis test does not address hypotheses about the medians of the groups.
