********************************************************************** Figure 5b: Wilxocon test (RT-qPCR for AP1 target genes in 5 vs 40d brains) ********************************************************************** Pairwise comparisons using Wilcoxon rank sum test P value adjustment method: holm group1 group2 padjusted target.gene 1 40d 5d 0.002164502 dsRed 2 40d 5d 0.002164502 Ets21c 3 40d 5d 0.002164502 MMP1 4 40d 5d 0.002164502 upd2 5 40d 5d 0.002164502 dorsal ********************************************************************** Figure 5d: Kurskal-Wallis with Wilxocon test and Holm adjustment (number of vacuoles per brain section in aged vs injured brains) ********************************************************************** Kruskal-Wallis rank sum test data: average_vacuoles by group Kruskal-Wallis chi-squared = 35.502, df = 2, p-value = 1.953e-08 Pairwise comparisons using Wilcoxon rank sum test data: data$average_vacuoles and data$group no injury_5d no injury_40d no injury_40d 5.7e-06 - mild dTBI_7dpi 1.3e-05 0.00021 P value adjustment method: holm ********************************************************************** Figure 5e: One-way ANOVA with Tukey's test (climbing in age vs injury) ********************************************************************** Call: aov(formula = percent_max_height_climbed ~ time, data = data) Df Sum Sq Mean Sq F value Pr(>F) time 2 66452 33226 72.77 <2e-16 *** Residuals 87 39724 457 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Tukey multiple comparisons of means 95% family-wise confidence level Fit: aov(formula = percent_max_height_climbed ~ time, data = data) $time diff lwr upr p adj 40d-5d -65.92419 -79.07998 -52.76840 0.00e+00 7dpi-5d -40.90590 -54.06170 -27.75011 0.00e+00 7dpi-40d 25.01829 11.86250 38.17408 5.42e-05