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1. www.rdocumentation.org › packages › statsaov function - RDocumentation

   www.rdocumentation.org › packages › stats

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   Description. Fit an analysis of variance model by a call to lm for each stratum. Usage. aov(formula, data = NULL, projections = FALSE, qr = TRUE, contrasts = NULL, …) Arguments. formula. A formula specifying the model. data. A data frame in which the variables specified in the formula will be found.

   • Lm

     R Fundamentals Level-up your R programming skills! Learn how...

   • Model.Tables

     Computes summary tables for model fits, especially complex...

   • Alias

     Find aliases (linearly dependent terms) in a linear model...

   • Proj

     proj returns a matrix or list of matrices giving the...

   • Summary.AOV

     Summarize an analysis of variance model.

   • Replications

     Returns a vector or a list of the number of replicates for...

   • Listof

     Class "listof" is used by aov and the "lm" method of "...

   • TukeyHSD

     Create a set of confidence intervals on the differences...

2. 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

3. www.geeksforgeeks.org › anova-test-in-r-programmingANOVA (Analysis of Variance) Test in R Programming

   www.geeksforgeeks.org › anova-test-in-r-programming

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   2 kwi 2024 · ANOVA also known as Analysis of variance is used to investigate relations between categorical variables and continuous variables in the R Programming Language. It is a type of hypothesis testing for population variance.

4. rdrr.io › r › statsaov: Fit an Analysis of Variance Model - R Package Documentation

   rdrr.io › r › stats

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   Description. Fit an analysis of variance model by a call to lm for each stratum. Usage. aov(formula, data = NULL, projections = FALSE, qr = TRUE, contrasts = NULL, ...) Arguments. Details. This provides a wrapper to lm for fitting linear models to balanced or unbalanced experimental designs.

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 · We can perform an ANOVA in R using the aov() function. This will calculate the test statistic for ANOVA and determine whether there is significant variation among the groups formed by the levels of the independent variable.

6. www.rdocumentation.org › packages › afexafex package - RDocumentation

   www.rdocumentation.org › packages › afex

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   afex: Analysis of Factorial EXperiments. The main functionalities provided by afex are: Interfaces for estimating standard ANOVAs with any number or combination of within-subjects or between-subjects variables (the ANOVA functions are aov_car(), aov_ez(), and aov_4() which all fit the same model but differ in the way to specify the ANOVA model).

7. www.sthda.com › english › wikiOne-Way ANOVA Test in R - Easy Guides - Wiki - STHDA

   www.sthda.com › english › wiki

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   Compute one-way ANOVA test. We want to know if there is any significant difference between the average weights of plants in the 3 experimental conditions. The R function aov () can be used to answer to this question. The function summary.aov () is used to summarize the analysis of variance model.