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1. statsandr.com › blog › anova-in-rANOVA in R - Stats and R

   statsandr.com › blog › anova-in-r

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   12 paź 2020 · Learn how to perform an Analysis Of VAriance (ANOVA) in R to compare 3 groups or more. See also how to interpret the results and perform post-hoc tests

   • One-way ANOVA by Hand

     Introduction. An ANOVA is a statistical test used to compare...

   • Kruskal-Wallis Test

     Aim and hypotheses. As mentioned earlier, the Kruskal-Wallis...

   • Two-way ANOVA in R

     Learn how to do a two-way ANOVA in R. You will also learn...

   • Normality

     where \(\mu\) and \(\sigma\) correspond to the population...

   • Student's T-Tests

     Introduction. One of the most important test within the...

   • Hypothesis Test by Hand

     How? There are, to my knowledge, 3 different methods to...

   • Probability Distribution

     Example. Here is an example with the most common...

   • Paper

     I am happy to announce that our paper entitled “Waiting...

2. www.statology.org › pairwise-comparison-in-rHow to Perform Post-Hoc Pairwise Comparisons in R - Statology

   www.statology.org › pairwise-comparison-in-r

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   3 gru 2021 · The following example shows how to perform the following post-hoc pairwise comparisons in R: The Tukey Method; The Scheffe Method; The Bonferroni Method; The Holm Method; Example: One-Way ANOVA in R. Suppose a teacher wants to know whether or not three different studying techniques lead to different exam scores among students.

3. macarenaquiroga.com › en › postHow to perform an ANOVA and post-hoc tests using R

   macarenaquiroga.com › en › post

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   19 sie 2023 · Using the iris dataset, the tutorial covers assumptions, tests for normality and homogeneity of variances, ANOVA analysis with base R, post-hoc tests like Tukey\'s HSD, Bonferroni, and Holm corrections, and the rstatix package for simplified analysis.

4. www.statology.org › anova-post-hoc-testsA Guide to Using Post Hoc Tests with ANOVA - Statology

   www.statology.org › anova-post-hoc-tests

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   14 kwi 2019 · If an ANOVA produces a p-value that is less than our significance level, we can use post hoc tests to find out which group means differ from one another. Post hoc tests allow us to control the family-wise error rate while performing multiple pairwise comparisons.

5. www.scribbr.com › statistics › anova-in-rANOVA in R | A Complete Step-by-Step Guide with Examples -...

   www.scribbr.com › statistics › anova-in-r

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   6 mar 2020 · Step 5: Do a post-hoc test. ANOVA tells us if there are differences among group means, but not what the differences are. To find out which groups are statistically different from one another, you can perform a Tukey’s Honestly Significant Difference (Tukey’s HSD) post-hoc test for pairwise comparisons: tukey.two.way<-TukeyHSD(two.way) tukey ...

6. stackoverflow.com › questions › 7846493Posthoc labels on anova boxplot in R - Stack Overflow

   stackoverflow.com › questions › 7846493

   21 paź 2011 · If I have some data and do an ANOVA and post-hoc tests, how do I make a boxplot that adds the post-hoc classification automatically, rather than having to edit the figure outside of R? For example, here are some data to get started:

7. stats.oarc.ucla.edu › r › faqHow can I do post-hoc pairwise comparisons in R? | R FAQ - OARC...

   stats.oarc.ucla.edu › r › faq

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   After an ANOVA, you may know that the means of your response variable differ significantly across your factor, but you do not know which pairs of the factor levels are significantly different from each other. At this point, you can conduct pairwise comparisons.