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  • 11.5: Multiple Comparisons and Post Hoc Tests
    https://stats.libretexts.org/Workbench/Learning_Statistics_with_SPSS_-_A_Tutorial_for_Psychology_Students_and_Other_Beginners/11%3A_Comparing_Several_Means_(One-way_ANOVA)/11.05%3A_Multiple_Comparisons_and_Post_Hoc_Tests
    To use the Bonferroni correction in R, you can use the pairwise.t.test() function, 211 making sure that you set p.adjust.method = "bonferroni". Alternatively, since the whole reason why we’re doing th...To use the Bonferroni correction in R, you can use the pairwise.t.test() function, 211 making sure that you set p.adjust.method = "bonferroni". Alternatively, since the whole reason why we’re doing these pairwise tests in the first place is because we have an ANOVA that we’re trying to understand, it’s probably more convenient to use the posthocPairwiseT() function in the lsr package, since we can use my.anova as the input:
  • 11.5: Introduction to Pairwise Comparisons
    https://stats.libretexts.org/Courses/Taft_College/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Sciences_(Oja)/02%3A_Mean_Differences/11%3A_BG_ANOVA/11.05%3A_Introduction_to_Pairwise_Comparisons
    You rejected the null hypothesis, now what?
  • 12.6: Multiple Comparisons and Post Hoc Tests
    https://stats.libretexts.org/Courses/Cerritos_College/Introduction_to_Statistics_with_R/12%3A_Comparing_Several_Means_(One-way_ANOVA)/12.06%3A_Multiple_Comparisons_and_Post_Hoc_Tests
    To use the Bonferroni correction in R, you can use the pairwise.t.test() function, 211 making sure that you set p.adjust.method = "bonferroni". Alternatively, since the whole reason why we’re doing th...To use the Bonferroni correction in R, you can use the pairwise.t.test() function, 211 making sure that you set p.adjust.method = "bonferroni". Alternatively, since the whole reason why we’re doing these pairwise tests in the first place is because we have an ANOVA that we’re trying to understand, it’s probably more convenient to use the posthocPairwiseT() function in the lsr package, since we can use my.anova as the input:
  • 11.5: Introduction to Pairwise Comparisons
    https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/11%3A_BG_ANOVA/11.05%3A_Introduction_to_Pairwise_Comparisons
    You rejected the null hypothesis, now what?

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