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R Programming - Class 4: ANOVA, Advanced ggplot, and Data Visualization
In this lesson, you learn the advance techniques in ggplot2. This includes using the stat_summary() function, how to perform a statistical analysis and how to visualize the statistics on the plots
R Programming - Class 3: Data cleaning and Introduction to ggplot2 and mutate
This class deals with making a very simple bar graph overlayed with the data points of the individual sets. The dataset used here is the built-in 'iris' dataset
R Programming - Class 2: Packages, Data Import, and Tidyverse Basics
Packages, Data Import, and Tidyverse Basics
R Programming - Class 1: Data Types and Data Structures
Basic of data types and data structures
Volcano Plot using ggplot
Creating a volcano plot using only ggplot2 and tidyverse packages.
The dataset is a processed transcriptomics data file in .csv format, comapring a control and a treated sample. It shows the fold change and the p-value of significance for each gene in the list (treated compared to the control).
Cell viability in R
This data is drawn from two biological experiments of the same nature. Here, we analyse the data and plot a graph using ggplot. Following that, we also perform a statistical analysis and draw the statistical significance lines on the plots.