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Trial 1 - Tick survival parameters
Testing differences in means or medians across more than two groups
Trial 1 - Tick serology (antibodies)
Testing differences in means or medians across more than two groups
Trial 1 - Test tick survival parameters
Data analysis steps (including test for normality and equality of variances) when testing differences between groups using ANOVA and/or Kruskal Wallis.
2D and 3D PCA
Genotype Data Filtering and PCA Visualization in R: A Step-by-Step Guide
This tutorial provides a step-by-step guide for filtering genotype data and performing Principal Component Analysis (PCA) using tidyverse, FactoMineR, and plotly. The workflow includes data preprocessing, quality filtering, and visualization of population structure using 2D and interactive 3D PCA plots.