$GAPDH $GAPDH$Control Shapiro-Wilk normality test data: x W = 0.96394, p-value = 0.8036 $GAPDH$`24h Frozen` Shapiro-Wilk normality test data: x W = 0.97904, p-value = 0.8964 $GAPDH$`8h Thawed` Shapiro-Wilk normality test data: x W = 0.85126, p-value = 0.2303 $Actin $Actin$Control Shapiro-Wilk normality test data: x W = 0.91937, p-value = 0.5334 $Actin$`24h Frozen` Shapiro-Wilk normality test data: x W = 0.92291, p-value = 0.4627 $Actin$`8h Thawed` Shapiro-Wilk normality test data: x W = 0.70211, p-value = 0.01228 $Tubulin $Tubulin$Control Shapiro-Wilk normality test data: x W = 0.99569, p-value = 0.8746 $Tubulin$`24h Frozen` Shapiro-Wilk normality test data: x W = 0.94609, p-value = 0.6918 $Tubulin$`8h Thawed` Shapiro-Wilk normality test data: x W = 0.96049, p-value = 0.782 $Dicer $Dicer$Control Shapiro-Wilk normality test data: x W = 0.89495, p-value = 0.4064 $Dicer$`24h Frozen` Shapiro-Wilk normality test data: x W = 0.80507, p-value = 0.1116 $Dicer$`8h Thawed` Shapiro-Wilk normality test data: x W = 0.99291, p-value = 0.9719 $GAPDH $GAPDH$EqualVariance Bartlett test of homogeneity of variances data: GAPDH by Condition Bartlett's K-squared = 0.44769, df = 2, p-value = 0.7994 $GAPDH$ANOVA Analysis of Variance Table Response: GAPDH Df Sum Sq Mean Sq F value Pr(>F) Condition 2 0.042456 0.021228 1.9869 0.1929 Residuals 9 0.096155 0.010684 $GAPDH$Tukey Tukey multiple comparisons of means 95% family-wise confidence level Fit: aov(formula = formula(fml), data = rawData) $Condition diff lwr upr p adj 24h Frozen-Control -0.10577524 -0.3098394 0.09828893 0.3591485 8h Thawed-Control -0.13966236 -0.3437265 0.06440182 0.1910625 8h Thawed-24h Frozen -0.03388711 -0.2379513 0.17017706 0.8896559 $Actin $Actin$EqualVariance Bartlett test of homogeneity of variances data: Actin by Condition Bartlett's K-squared = 1.5432, df = 2, p-value = 0.4623 $Actin$ANOVA Analysis of Variance Table Response: Actin Df Sum Sq Mean Sq F value Pr(>F) Condition 2 0.016639 0.0083196 0.3259 0.731 Residuals 8 0.204227 0.0255284 $Actin$Tukey Tukey multiple comparisons of means 95% family-wise confidence level Fit: aov(formula = formula(fml), data = rawData) $Condition diff lwr upr p adj 24h Frozen-Control -0.01689655 -0.3655930 0.3317999 0.9895002 8h Thawed-Control 0.07241147 -0.2504187 0.3952417 0.8024519 8h Thawed-24h Frozen 0.08930802 -0.2593885 0.4380045 0.7523588 $Tubulin $Tubulin$EqualVariance Bartlett test of homogeneity of variances data: Tubulin by Condition Bartlett's K-squared = 7.2603, df = 2, p-value = 0.02651 $Tubulin$ANOVA Analysis of Variance Table Response: Tubulin Df Sum Sq Mean Sq F value Pr(>F) Condition 2 0.16311 0.081557 1.8571 0.2175 Residuals 8 0.35133 0.043916 $Tubulin$Tukey Tukey multiple comparisons of means 95% family-wise confidence level Fit: aov(formula = formula(fml), data = rawData) $Condition diff lwr upr p adj 24h Frozen-Control -0.21012371 -0.6674709 0.2472234 0.4275018 8h Thawed-Control 0.06525379 -0.3920933 0.5226009 0.9134124 8h Thawed-24h Frozen 0.27537751 -0.1480437 0.6987987 0.2123056 $Dicer $Dicer$EqualVariance Bartlett test of homogeneity of variances data: Dicer by Condition Bartlett's K-squared = 1.7104, df = 2, p-value = 0.4252 $Dicer$ANOVA Analysis of Variance Table Response: Dicer Df Sum Sq Mean Sq F value Pr(>F) Condition 2 3.9317 1.96583 245.05 1.42e-08 *** Residuals 9 0.0722 0.00802 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $Dicer$Tukey Tukey multiple comparisons of means 95% family-wise confidence level Fit: aov(formula = formula(fml), data = rawData) $Condition diff lwr upr p adj 24h Frozen-Control 0.925 0.748173 1.101827 4.00e-07 8h Thawed-Control -0.450 -0.626827 -0.273173 1.49e-04 8h Thawed-24h Frozen -1.375 -1.551827 -1.198173 0.00e+00