R code for the article "Addition of soluble fiber to standard purified diets is important for gut morphology in mice"

Below, R lines used for conducting statistical analysis, i.e., introducing some descriptive statistic and performing statistical tests.

Data were visualized by boxplots. Then, linear mixed models were fitted (R function "lmer"). Specifically, all the outcomes of interest ("a") were modeled depending on treatment groups as fixed effect ("Groups") and a random intercept effect ("Number").

As explorative analysis, Dunnett's tests for comparisons of the treatment groups versus a control group were conducted and visualized by confidence intervals. Specifically, two approaches were employed to assess the significance of pairwise comparisons between the treatment and two control groups.