Post-hoc analysis of ANOVA results

stat_anova_tukey(tbl, group = NULL)

Arguments

tbl

tidied data from a SingleCellExperiment

group

variable for generating combinations

Examples

x <- fsce_tidy[c("k_cluster", "Uracil_45", "riboG_44")] x$k_cluster <- as.factor(x$k_cluster) res <- stat_anova_grouped(x, k_cluster) ## first result stat_anova_tukey(res, k_cluster)[[1]]
#> #> General Linear Hypotheses #> #> Multiple Comparisons of Means: Tukey Contrasts #> #> #> Linear Hypotheses: #> Estimate #> 2 - 1 == 0 -0.425883 #> 3 - 1 == 0 -0.804721 #> 4 - 1 == 0 -1.258248 #> 5 - 1 == 0 -0.418850 #> 6 - 1 == 0 -0.375788 #> 3 - 2 == 0 -0.378838 #> 4 - 2 == 0 -0.832365 #> 5 - 2 == 0 0.007033 #> 6 - 2 == 0 0.050095 #> 4 - 3 == 0 -0.453527 #> 5 - 3 == 0 0.385872 #> 6 - 3 == 0 0.428933 #> 5 - 4 == 0 0.839398 #> 6 - 4 == 0 0.882460 #> 6 - 5 == 0 0.043062 #>