Assessing priority weights from subsets of pairwise comparisons in multiple criteria optimization problems. Takeda E,Yu P. European Journal of Operational Research . 1995Takeda E,Yu P.Assessing priority weights from subsets of pairwise comparisons in multiple criteria optimization problems. European ...
(1994). Power of pairwise multiple comparison in the unequal variance case. Communications in Statistics - Simulation and Computation, 23(3), 691-710.Hsiung, T.-H., y Olejnik, S. (1994). Power of pairwise multiple comparisons in the unequal variance case. Communications in Statistics - ...
In this research, we propose simultaneous confidence intervals for all pairwise multiple comparisons in a two-way unbalanced design with unequal variances, using a parametric bootstrap approach. Simulation results show that Type 1 error of the multiple comparison test is close to the nominal level ...
Run multiple pairwise comparisons using paired t-tests P-values are adjusted using the Bonferroni multiple testing correction method. # Pairwise comparisons between time points at each group levels# Paired t-test is used because we have repeated measures by timestat.test <- anxiety %>% group_by...
pairwise and complex comparisonssimultaneous and stepwise proceduresType I error ratesrobust proceduresBehavioral science researchers often wish to compare the means of several treatment conditions on a specific dependent measure. The author used a Monte Carlo study to compare familywise error controlling ...
(adapts an external function such asscipy.stats.ttest_indto multiple pairwise comparisons) andmultipletests(adjustspvalues to minimize type I and II errors).PMCMRplusis a very good R package that has no rivals in Python as it offers more than 40 various tests (including post hoc tests) ...
"tukey-kramer","dunn-sidak", and"bonferroni"provide protection for pairwise comparisons. "scheffe"provides protection for pairwise comparisons and comparisons of all linear combinations of the estimates. Themultcomparefunction examines different sets of null hypotheses (H0) and alternative hypotheses (H1...
It's recommended when the normality assumptions of the one-way repeated measures ANOVA test is not met or when the dependent variable is measured on an ordinal scale. In this chapter, you will learn how to compute Friedman test in R and to perform pairwise-comparison between groups. ...
:exclamation: This is a read-only mirror of the CRAN R package repository. pairwiseComparisons — Multiple Pairwise Comparison Tests. Homepage: https://indrajeetpatil.github.io/pairwiseComparisons/, https://github.com/IndrajeetPatil/pairwiseComparisons
Performs Dunn's test for pairwise multiple comparisons of the ranked data. The mean rank of the different groups is compared. Used for post-hoc test following Kruskal-Wallis test. The default of therstatix::dunn_test()function is to perform a two-sided Dunn test like the well known comme...