To perform t-tests and ANOVA in R, you can use the built-in functions t.test() for t-tests and aov() for ANOVA. For t-tests, you need to specify the two samples you want to compare, as well as any other relevant parameters such as whether the variances are assumed to be equal or not. For ANOVA, you need to specify the response variable and the explanatory variable(s) you want to test for differences. Make sure to check the assumptions of the tests before interpreting the results, such as the normality of the data and equality of variances. Visualizations such as boxplots or QQ plots can help in assessing these assumptions.

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