Basics of Data Management with “R”

Learn the basics of R Syntax: Introduction to RStudio, R data types (vectors, lists, matrices, data frames, and factors), basic R commands, writing R scripts, and understanding the workspace. Loading and exploring datasets, sub-setting and filtering data, renaming and reordering columns, and creating new variables using the dplyr package.

Learn how to prepare data for analysis in R using dplyr and tidyr: Data cleaning techniques, handling missing values, data transformation, reshaping data using pivoting (long to wide and vice versa), combining and splitting datasets, and data manipulation using the tidyr package (e.g., gather, spread, separate, unite).

Learn the basics of how to create visualizations using the popular R package ggplot2: creating different types of plots (scatter plots, line plots, bar charts, histograms, and boxplots), customizing plots (titles, labels, colors, themes), adding layers (geoms), faceting, and saving and exporting plots. Explore advanced visualization techniques like creating multi-panel plots, and handling overplotting using transparency and jittering.

Introduction to summarizing data, using functions like summarize(), group_by(), and mutate(). Understanding central tendency, calculating mean, median, mode, and interpreting results in the context of datasets. Understanding and calculating variance, standard deviation, and their importance in data analysis. Understanding quartiles, quantiles, and how they describe data spread, using R functions to compute these statistics, and interpreting boxplots.

Introduction to joins in R, different types of joins (inner, left, right, full), merging datasets using dplyr functions (inner_join, left_join, etc.), and working with multiple data sources. Introduction to hypothesis testing, types of t-tests (one-sample, independent two-sample, paired sample), assumptions of t-tests, conducting t-tests in R, interpreting results, and understanding p-values and confidence intervals. Explore the concept of effect size and its calculation.