IDIBAPS Data Vizualization workshop 2023
1
Welcome
2
Setup
2.1
Install R and RStudio/Posit
2.2
Install R packages
2.3
Check setup
3
R
3.1
What is R ?
3.2
Functions & packages
3.2.1
Functions
3.2.2
Packages
4
What is RStudio (Posit)?
4.1
RStudio interface
4.2
The R console
5
Paths and directories
5.1
Path and home directory
5.2
Create the workshop directory
6
R basics
6.1
Arithmetic operators
6.2
Objects in R
6.3
Assigning data to an object
6.4
Data types
7
Import data / read files / scripts
7.1
Fetch workshop files
7.2
Import / read in data
7.2.1
from CSV
7.3
from Excel
7.4
Scripts
8
ggplot2
8.1
Getting started
8.2
Scatter plot
8.2.1
Base plot
8.2.2
Customize the points
8.2.3
Add more layers
8.3
Save your plot
8.3.1
From the interface
8.3.2
From the console
8.4
Exercise 1
8.5
Scatter plots: more features
8.6
Barplots
8.7
Exercise 2
8.8
Barplots: bars position
8.8.1
stats=“identity” parameter
8.9
Boxplots
8.10
Fine-tuning text
8.11
Colors
8.12
Faceting
9
Data filtering and wrangling
9.1
filter()
9.2
select()
9.3
rename()
9.4
Exercise 3
9.5
The pipe operator
9.6
From wide to long format
9.7
Exercise 4
10
More ggplots
10.1
Histograms and density plots
10.1.1
Histogram
10.1.2
Density plot
10.1.3
Histogram + density
10.2
Pie chart
10.3
Custom scatter plot
11
More exercises
11.1
Exercise 5: barplots
11.2
Exercise 6: scatter plot
11.3
Exercise 7: boxplot
12
Interactive plots with {plotly}
13
Heatmaps with {pheatmap}
14
Demo volcano plot
15
Resources
Published with bookdown
Data visualization with R and ggplot2: from data to publication-quality graphics
Part6
R basics
In this section, we will cover very basic notions of R programming.